Flooding and subsidence in the Thames Gateway: impact on insurance loss potential

Science.gov (United States)

Royse, Katherine; Horn, Diane; Eldridge, Jillian; Barker, Karen

2010-05-01

In the UK, household buildings insurance generally covers loss and damage to the insured property from a range of natural and human perils, including windstorm, flood, subsidence, theft, accidental fire and winter freeze. Consequently, insurers require a reasoned view on the likely scale of losses that they may face to assist in strategic planning, reinsurance structuring, regulatory returns and general risk management. The UK summer 2007 flood events not only provided a clear indication of the scale of potential losses that the industry could face from an individual event, with £3 billion in claims, but also identified a need for insurers and reinsurers to better understand how events may correlate in time and space, and how to most effectively use the computational models of extreme events that are commonly applied to reflect these correlations. In addition to the potential for temporal clustering of events such as windstorms and floods, there is a possibility that seemingly uncorrelated natural perils, such as floods and subsidence, may impact an insurer's portfolio. Where aggregations of large numbers of new properties are planned, such as in the Thames Gateway, consideration of the potential future risk of aggregate losses due to the combination of perils such as subsidence and flood is increasingly important within the insurance company's strategic risk management process. Whilst perils such as subsidence and flooding are generally considered independent within risk modelling, the potential for one event to influence the magnitude and likelihood of the other should be taken into account when determining risk level. In addition, the impact of correlated, but distinctive, loss causing events on particular property types may be significant, particularly if a specific property is designed to protect against one peril but is potentially susceptible to another. We suggest that flood events can lead to increased subsidence risk due to the weight of additional water

75 FR 82277 - Health Insurance Issuers Implementing Medical Loss Ratio (MLR) Requirements Under the Patient...

Science.gov (United States)

2010-12-30

...-AA06 Health Insurance Issuers Implementing Medical Loss Ratio (MLR) Requirements Under the Patient... Register (FR Doc 2010-29596 (75 FR 74864)) entitled ``Health Insurance Issuers Implementing Medical Loss... request for comments entitled ``Health Insurance Issuers Implementing Medical Loss Ratio (MLR...

Empirical Bayes Credibility Models for Economic Catastrophic Losses by Regions

Directory of Open Access Journals (Sweden)

Jindrová Pavla

2017-01-01

Full Text Available Catastrophic events affect various regions of the world with increasing frequency and intensity. The number of catastrophic events and the amount of economic losses is varying in different world regions. Part of these losses is covered by insurance. Catastrophe events in last years are associated with increases in premiums for some lines of business. The article focus on estimating the amount of net premiums that would be needed to cover the total or insured catastrophic losses in different world regions using Bühlmann and Bühlmann-Straub empirical credibility models based on data from Sigma Swiss Re 2010-2016. The empirical credibility models have been developed to estimate insurance premiums for short term insurance contracts using two ingredients: past data from the risk itself and collateral data from other sources considered to be relevant. In this article we deal with application of these models based on the real data about number of catastrophic events and about the total economic and insured catastrophe losses in seven regions of the world in time period 2009-2015. Estimated credible premiums by world regions provide information how much money in the monitored regions will be need to cover total and insured catastrophic losses in next year.

Evaluating EML Modeling Tools for Insurance Purposes: A Case Study

Directory of Open Access Journals (Sweden)

Mikael Gustavsson

2010-01-01

Full Text Available As with any situation that involves economical risk refineries may share their risk with insurers. The decision process generally includes modelling to determine to which extent the process area can be damaged. On the extreme end of modelling the so-called Estimated Maximum Loss (EML scenarios are found. These scenarios predict the maximum loss a particular installation can sustain. Unfortunately no standard model for this exists. Thus the insurers reach different results due to applying different models and different assumptions. Therefore, a study has been conducted on a case in a Swedish refinery where several scenarios previously had been modelled by two different insurance brokers using two different softwares, ExTool and SLAM. This study reviews the concept of EML and analyses the used models to see which parameters are most uncertain. Also a third model, EFFECTS, was employed in an attempt to reach a conclusion with higher reliability.

A Logistic Regression Based Auto Insurance Rate-Making Model Designed for the Insurance Rate Reform

Directory of Open Access Journals (Sweden)

Zhengmin Duan

2018-02-01

Full Text Available Using a generalized linear model to determine the claim frequency of auto insurance is a key ingredient in non-life insurance research. Among auto insurance rate-making models, there are very few considering auto types. Therefore, in this paper we are proposing a model that takes auto types into account by making an innovative use of the auto burden index. Based on this model and data from a Chinese insurance company, we built a clustering model that classifies auto insurance rates into three risk levels. The claim frequency and the claim costs are fitted to select a better loss distribution. Then the Logistic Regression model is employed to fit the claim frequency, with the auto burden index considered. Three key findings can be concluded from our study. First, more than 80% of the autos with an auto burden index of 20 or higher belong to the highest risk level. Secondly, the claim frequency is better fitted using the Poisson distribution, however the claim cost is better fitted using the Gamma distribution. Lastly, based on the AIC criterion, the claim frequency is more adequately represented by models that consider the auto burden index than those do not. It is believed that insurance policy recommendations that are based on Generalized linear models (GLM can benefit from our findings.

31 CFR 50.33 - Entities that do not share profits and losses with private sector insurers.

Science.gov (United States)

2010-07-01

... and losses with private sector insurers. 50.33 Section 50.33 Money and Finance: Treasury Office of the...' Compensation Funds § 50.33 Entities that do not share profits and losses with private sector insurers. (a... share profits and losses with a private sector insurer is deemed to be a separate insurer under the...

An assessment of the ECMWF tropical cyclone ensemble forecasting system and its use for insurance loss predictions

Science.gov (United States)

Aemisegger, F.; Martius, O.; Wüest, M.

2010-09-01

Tropical cyclones (TC) are amongst the most impressive and destructive weather systems of Earth's atmosphere. The costs related to such intense natural disasters have been rising in recent years and may potentially continue to increase in the near future due to changes in magnitude, timing, duration or location of tropical storms. This is a challenging situation for numerical weather prediction, which should provide a decision basis for short term protective measures through high quality medium range forecasts on the one hand. On the other hand, the insurance system bears great responsibility in elaborating proactive plans in order to face these extreme events that individuals cannot manage independently. Real-time prediction and early warning systems are needed in the insurance sector in order to face an imminent hazard and minimise losses. Early loss estimates are important in order to allocate capital and to communicate to investors. The ECMWF TC identification algorithm delivers information on the track and intensity of storms based on the ensemble forecasting system. This provides a physically based framework to assess the uncertainty in the forecast of a specific event. The performance of the ECMWF TC ensemble forecasts is evaluated in terms of cyclone intensity and location in this study and the value of such a physically-based quantification of uncertainty in the meteorological forecast for the estimation of insurance losses is assessed. An evaluation of track and intensity forecasts of hurricanes in the North Atlantic during the years 2005 to 2009 is carried out. Various effects are studied like the differences in forecasts over land or sea, as well as links between storm intensity and forecast error statistics. The value of the ECMWF TC forecasting system for the global re-insurer Swiss Re was assessed by performing insurance loss predictions using their in-house loss model for several case studies of particularly devastating events. The generally known

Stimulating household flood risk mitigation investments through insurance and subsidies: an Agent-Based Modelling approach

Science.gov (United States)

Haer, Toon; Botzen, Wouter; de Moel, Hans; Aerts, Jeroen

2015-04-01

In the period 1998-2009, floods triggered roughly 52 billion euro in insured economic losses making floods the most costly natural hazard in Europe. Climate change and socio/economic trends are expected to further aggrevate floods losses in many regions. Research shows that flood risk can be significantly reduced if households install protective measures, and that the implementation of such measures can be stimulated through flood insurance schemes and subsidies. However, the effectiveness of such incentives to stimulate implementation of loss-reducing measures greatly depends on the decision process of individuals and is hardly studied. In our study, we developed an Agent-Based Model that integrates flood damage models, insurance mechanisms, subsidies, and household behaviour models to assess the effectiveness of different economic tools on stimulating households to invest in loss-reducing measures. Since the effectiveness depends on the decision making process of individuals, the study compares different household decision models ranging from standard economic models, to economic models for decision making under risk, to more complex decision models integrating economic models and risk perceptions, opinion dynamics, and the influence of flood experience. The results show the effectiveness of incentives to stimulate investment in loss-reducing measures for different household behavior types, while assuming climate change scenarios. It shows how complex decision models can better reproduce observed real-world behaviour compared to traditional economic models. Furthermore, since flood events are included in the simulations, the results provide an analysis of the dynamics in insured and uninsured losses for households, the costs of reducing risk by implementing loss-reducing measures, the capacity of the insurance market, and the cost of government subsidies under different scenarios. The model has been applied to the City of Rotterdam in The Netherlands.

Insurance against climate change and flood risk: Insurability and decision processes of insurers

Science.gov (United States)

Hung, Hung-Chih; Hung, Jia-Yi

2016-04-01

1. Background Major portions of the Asia-Pacific region is facing escalating exposure and vulnerability to climate change and flood-related extremes. This highlights an arduous challenge for public agencies to improve existing risk management strategies. Conventionally, governmental funding was majorly responsible and accountable for disaster loss compensation in the developing countries in Asia, such as Taiwan. This is often criticized as an ineffective and inefficient measure of dealing with flood risk. Flood insurance is one option within the toolkit of risk-sharing arrangement and adaptation strategy to flood risk. However, there are numerous potential barriers for insurance companies to cover flood damage, which would cause the flood risk is regarded as uninsurable. This study thus aims to examine attitudes within the insurers about the viability of flood insurance, the decision-making processes of pricing flood insurance and their determinants, as well as to examine potential solutions to encourage flood insurance. 2. Methods and data Using expected-utility theory, an insurance agent-based decision-making model was developed to examine the insurers' attitudes towards the insurability of flood risk, and to scrutinize the factors that influence their decisions on flood insurance premium-setting. This model particularly focuses on how insurers price insurance when they face either uncertainty or ambiguity about the probability and loss of a particular flood event occurring. This study considers the factors that are expected to affect insures' decisions on underwriting and pricing insurance are their risk perception, attitudes towards flood insurance, governmental measures (e.g., land-use planning, building codes, risk communication), expected probabilities and losses of devastating flooding events, as well as insurance companies' attributes. To elicit insurers' utilities about premium-setting for insurance coverage, the 'certainty equivalent,' 'probability

High-resolution refinement of a storm loss model and estimation of return periods of loss-intensive storms over Germany

Directory of Open Access Journals (Sweden)

M. G. Donat

2011-10-01

Full Text Available A refined model for the calculation of storm losses is presented, making use of high-resolution insurance loss records for Germany and allowing loss estimates on a spatial level of administrative districts and for single storm events. Storm losses are calculated on the basis of wind speeds from both ERA-Interim and NCEP reanalyses. The loss model reproduces the spatial distribution of observed losses well by taking specific regional loss characteristics into account. This also permits high-accuracy estimates of total cumulated losses, though slightly underestimating the country-wide loss sums for storm "Kyrill", the most severe event in the insurance loss records from 1997 to 2007. A larger deviation, which is assigned to the relatively coarse resolution of the NCEP reanalysis, is only found for one specific rather small-scale event, not adequately captured by this dataset.

The loss model is subsequently applied to the complete reanalysis period to extend the storm event catalogue to cover years when no systematic insurance records are available. This allows the consideration of loss-intensive storm events back to 1948, enlarging the event catalogue to cover the recent 60+ years, and to investigate the statistical characteristics of severe storm loss events in Germany based on a larger sample than provided by the insurance records only. Extreme value analysis is applied to the loss data to estimate the return periods of loss-intensive storms, yielding a return period for storm "Kyrill", for example, of approximately 15 to 21 years.

Probabilistic Seismic Risk Assessment in Manizales, Colombia:Quantifying Losses for Insurance Purposes

Institute of Scientific and Technical Information of China (English)

Mario A.Salgado-Gálvez; Gabriel A.Bernal; Daniela Zuloaga; Mabel C.Marulanda; Omar-Darío Cardona; Sebastián Henao

2017-01-01

A fully probabilistic seismic risk assessment was developed in Manizales,Colombia,considering assets of different types.The first type includes elements that are part of the water and sewage network,and the second type includes public and private buildings.This assessment required the development of a probabilistic seismic hazard analysis that accounts for the dynamic soil response,assembling high resolution exposure databases,and the development of damage models for different types of elements.The economic appraisal of the exposed assets was developed together with specialists of the water utilities company of Manizales and the city administration.The risk assessment was performed using several Comprehensive Approach to Probabilistic Risk Assessment modules as well as the R-System,obtaining results in terms of traditional metrics such as loss exceedance curve,average annual loss,and probable maximum loss.For the case of pipelines,repair rates were also estimated.The results for the water and sewage network were used in activities related to the expansion and maintenance strategies,as well as for the exploration of financial retention and transfer alternatives using insurance schemes based on technical,probabilistic,and prospective damage and loss estimations.In the case of the buildings,the results were used in the update of the technical premium values of the existing collective insurance scheme.

Crop insurance: Risks and models of insurance

Directory of Open Access Journals (Sweden)

Čolović Vladimir

2014-01-01

Full Text Available The issue of crop protection is very important because of a variety of risks that could cause difficult consequences. One type of risk protection is insurance. The author in the paper states various models of insurance in some EU countries and the systems of subsidizing of insurance premiums by state. The author also gives a picture of crop insurance in the U.S., noting that in this country pays great attention to this matter. As for crop insurance in Serbia, it is not at a high level. The main problem with crop insurance is not only the risks but also the way of protection through insurance. The basic question that arises not only in the EU is the question is who will insure and protect crops. There are three possibilities: insurance companies under state control, insurance companies that are public-private partnerships or private insurance companies on a purely commercial basis.

Hurricane Loss Estimation Models: Opportunities for Improving the State of the Art.

Science.gov (United States)

Watson, Charles C., Jr.; Johnson, Mark E.

2004-11-01

The results of hurricane loss models are used regularly for multibillion dollar decisions in the insurance and financial services industries. These models are proprietary, and this “black box” nature hinders analysis. The proprietary models produce a wide range of results, often producing loss costs that differ by a ratio of three to one or more. In a study for the state of North Carolina, 324 combinations of loss models were analyzed, based on a combination of nine wind models, four surface friction models, and nine damage models drawn from the published literature in insurance, engineering, and meteorology. These combinations were tested against reported losses from Hurricanes Hugo and Andrew as reported by a major insurance company, as well as storm total losses for additional storms. Annual loss costs were then computed using these 324 combinations of models for both North Carolina and Florida, and compared with publicly available proprietary model results in Florida. The wide range of resulting loss costs for open, scientifically defensible models that perform well against observed losses mirrors the wide range of loss costs computed by the proprietary models currently in use. This outcome may be discouraging for governmental and corporate decision makers relying on this data for policy and investment guidance (due to the high variability across model results), but it also provides guidance for the efforts of future investigations to improve loss models. Although hurricane loss models are true multidisciplinary efforts, involving meteorology, engineering, statistics, and actuarial sciences, the field of meteorology offers the most promising opportunities for improvement of the state of the art.

Increasing losses caused by natural disasters: what are the drivers, how is the insurance industry affected, what has to be done?

Science.gov (United States)

Hoppe, P.

2016-12-01

Losses caused by natural disasters are a major factor influencing the balance sheet of insurers, especially reinsurers. Such events have a high potential of creating extreme accumulation losses by affecting different business lines at the same time. The basis for long term profitable business in the insurance industry is to be able to calculate and also get risk adequate premiums for the covers of natural perils. Risk adequate means that on average over several years the losses occurring can be paid by the premium income. Losses caused by natural disasters have increased tremendously worldwide in the last decades. The main drivers have been changes in the exposed values, i.e. growth of population and wealth in affected regions. For the insurance industry this loss increasing process in general is not a problem as the premiums normally are proportional to the sum insured, i.e. the exposed value. These factors can be quantified and the loss trends can be adjusted for these changes. Munich Re just recently has developed a very sophisticated method for such a normalisation of losses. After this normalization in respect to exposed values a still residual loss trend can be either driven by changes in the vulnerability of assets or on the hazard side. Trends in both factors are not automatically considered in the premiums, they have to be detected, quantified and then built into the risk models of the insurers. Many studies as well as data from the Munich Re NatCatSERVICE suggest that weather related hazards already have changed for some perils and in some regions. Climate research implies that due to global warming such trends will increase in the coming decades. Very little quantitative data, however, on such changes still is available to allow the adjustment of the risk models of insurers. In order to do this, data with high regional resolution and also probabilities of certain scenarios would be necessary. The other gap of information is quantitative data on changes

Data analytics for insurance loss modelling, telematics pricing and claims reserving.:Data analytics for insurance loss modelling, telematics pricing and claims reserving.

OpenAIRE

Verbelen, Roel

2017-01-01

Today's society generates data more rapidly than ever before, creating many opportunities as well as challenges for statisticians. Many industries become increasingly dependent on high-quality data, and the demand for sound statistical analysis of these data is rising accordingly. In the insurance sector, data have always played a major role. When selling a contract to a client, the insurance company is liable for the claims arising from this contract and will hold capital aside to meet th...

Effects of Health Insurance Interruption on Loss of Hypertension Control in Women With and Women Without HIV.

Science.gov (United States)

Edmonds, Andrew; Ludema, Christina; Eron, Joseph J; Cole, Stephen R; Adedimeji, Adebola A; Cohen, Mardge H; Cooper, Hannah L; Fischl, Margaret; Johnson, Mallory O; Krause, Denise D; Merenstein, Dan; Milam, Joel; Wilson, Tracey E; Adimora, Adaora A

2017-12-01

Among low-income women with and without HIV, it is a priority to reduce age-related comorbidities, including hypertension and its sequelae. Because consistent health insurance access has been identified as an important factor in controlling many chronic diseases, we estimated the effects of coverage interruption on loss of hypertension control in a cohort of women in the United States. We analyzed prospective, longitudinal data from the Women's Interagency HIV Study. HIV-infected and HIV-uninfected women were included between 2005 and 2014 when they reported health insurance at consecutive biannual visits and had controlled hypertension, and were followed for any insurance break and loss of hypertension control. We estimated hazard ratios (HRs) by Cox proportional hazards regression with inverse-probability-of-treatment-and censoring weights (marginal structural models), and plotted the cumulative incidence of hypertension control loss. Among 890 HIV-infected women, the weighted HR for hypertension control loss comparing health insurance interruption to uninterrupted coverage was 1.37 (95% confidence interval [CI], 0.99-1.91). Inclusion of AIDS Drug Assistance Program (ADAP) participation with health insurance modestly increased the HR (1.47; 95% CI, 1.04-2.07). Analysis of 272 HIV-uninfected women yielded a similar HR (1.39; 95% CI, 0.88-2.21). Additionally, there were indications of uninterrupted coverage having a protective effect on hypertension when compared with the natural course in HIV-infected (HR, 0.82; 95% CI, 0.61-1.11) and HIV-uninfected (HR, 0.78; 95% CI, 0.52-1.19) women. This study provides evidence that health insurance continuity promotes hypertension control in key populations. Interventions that ensure coverage stability and ADAP access should be a policy priority.

Disease spread models to estimate highly uncertain emerging diseases losses for animal agriculture insurance policies: an application to the U.S. farm-raised catfish industry.

Science.gov (United States)

Zagmutt, Francisco J; Sempier, Stephen H; Hanson, Terril R

2013-10-01

Emerging diseases (ED) can have devastating effects on agriculture. Consequently, agricultural insurance for ED can develop if basic insurability criteria are met, including the capability to estimate the severity of ED outbreaks with associated uncertainty. The U.S. farm-raised channel catfish (Ictalurus punctatus) industry was used to evaluate the feasibility of using a disease spread simulation modeling framework to estimate the potential losses from new ED for agricultural insurance purposes. Two stochastic models were used to simulate the spread of ED between and within channel catfish ponds in Mississippi (MS) under high, medium, and low disease impact scenarios. The mean (95% prediction interval (PI)) proportion of ponds infected within disease-impacted farms was 7.6% (3.8%, 22.8%), 24.5% (3.8%, 72.0%), and 45.6% (4.0%, 92.3%), and the mean (95% PI) proportion of fish mortalities in ponds affected by the disease was 9.8% (1.4%, 26.7%), 49.2% (4.7%, 60.7%), and 88.3% (85.9%, 90.5%) for the low, medium, and high impact scenarios, respectively. The farm-level mortality losses from an ED were up to 40.3% of the total farm inventory and can be used for insurance premium rate development. Disease spread modeling provides a systematic way to organize the current knowledge on the ED perils and, ultimately, use this information to help develop actuarially sound agricultural insurance policies and premiums. However, the estimates obtained will include a large amount of uncertainty driven by the stochastic nature of disease outbreaks, by the uncertainty in the frequency of future ED occurrences, and by the often sparse data available from past outbreaks. © 2013 Society for Risk Analysis.

On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio

Directory of Open Access Journals (Sweden)

Tatjana Miljkovic

2018-05-01

Full Text Available We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM and mixture-based clustering for an ordered stereotype model (OSM. The latter is for modeling of ordinal variables, and the former is for modeling losses as a function of mixed-type of covariates. The article extends the idea of mixture modeling to a multivariate classification for the purpose of testing unobserved heterogeneity in an insurance portfolio. The application of both methods is illustrated on a well-known French automobile portfolio, in which the model fitting is performed using the expectation-maximization (EM algorithm. Our findings show that these mixture-based clustering methods can be used to further test unobserved heterogeneity in an insurance portfolio and as such may be considered in insurance pricing, underwriting, and risk management.

Strengthening the weak link: Built Environment modelling for loss analysis

Science.gov (United States)

Millinship, I.

2012-04-01

Methods to analyse insured losses from a range of natural perils, including pricing by primary insurers and catastrophe modelling by reinsurers, typically lack sufficient exposure information. Understanding the hazard intensity in terms of spatial severity and frequency is only the first step towards quantifying the risk of a catastrophic event. For any given event we need to know: Are any structures affected? What type of buildings are they? How much damaged occurred? How much will the repairs cost? To achieve this, detailed exposure information is required to assess the likely damage and to effectively calculate the resultant loss. Modelling exposures in the Built Environment therefore plays as important a role in understanding re/insurance risk as characterising the physical hazard. Across both primary insurance books and aggregated reinsurance portfolios, the location of a property (a risk) and its monetary value is typically known. Exactly what that risk is in terms of detailed property descriptors including structure type and rebuild cost - and therefore its vulnerability to loss - is often omitted. This data deficiency is a primary source of variations between modelled losses and the actual claims value. Built Environment models are therefore required at a high resolution to describe building attributes that relate vulnerability to property damage. However, national-scale household-level datasets are often not computationally practical in catastrophe models and data must be aggregated. In order to provide more accurate risk analysis, we have developed and applied a methodology for Built Environment modelling for incorporation into a range of re/insurance applications, including operational models for different international regions and different perils and covering residential, commercial and industry exposures. Illustrated examples are presented, including exposure modelling suitable for aggregated reinsurance analysis for the UK and bespoke high resolution

A two-component copula with links to insurance

Directory of Open Access Journals (Sweden)

Ismail S.

2017-12-01

Full Text Available This paper presents a new copula to model dependencies between insurance entities, by considering how insurance entities are affected by both macro and micro factors. The model used to build the copula assumes that the insurance losses of two companies or lines of business are related through a random common loss factor which is then multiplied by an individual random company factor to get the total loss amounts. The new two-component copula is not Archimedean and it extends the toolkit of copulas for the insurance industry.

75 FR 74863 - Health Insurance Issuers Implementing Medical Loss Ratio (MLR) Requirements Under the Patient...

Science.gov (United States)

2010-12-01

... Part III Department of Health and Human Services 45 CFR Part 158 Health Insurance Issuers... 0950-AA06 Health Insurance Issuers Implementing Medical Loss Ratio (MLR) Requirements Under the Patient... health insurance issuers under the Public Health Service Act, as added by the Patient Protection and...

BEHAVIORAL ASPECTS IN INSURANCE MARKET

Directory of Open Access Journals (Sweden)

Stroe Andreea

2013-07-01

In this paper there are showed and debated some situation in which psychological effects like loss aversion, reference point, status-quo and framming effects can influence the deccision of the consumer and are not consistent with the standard economic model.In addition to this aspects, Cumulative Prspect Theory enhance the fact that decision makers overestimate low peobabilities and underestimate high probabilities,thus buying inadequate insurance in many situation.in thiss sense, in order to support this idea I tried to make a qualitative presentation of the model used on the insurance market using Prelec function which is the function related with the Cumulative Prospect Theory which can be used in the insurance context.The weak points of the theory of expected utility are explained through this new perspectives and nevertheless aspects like insensivity to bad news concerning incomes,elasticity of price,displacements of status-quo and default,disposition effect and equity premium are taken into consideration.As example,I chose a Kunreuther experiment about insurance decision in with is underlyined the fact that for moderate risk people buy insurance with premiums that exceed the expected loss.There are demands for low deductibles in the the markets for extended guarantees and insurances for mobile phones where was observed that the insurance underwriting rate increases with the probability of loss keeping the expected loss constant.It is better to mention that the theory and the model that are presented here comes as complementary to the economic standard theory not as a substitute.

Improving Catastrophe Modeling for Business Interruption Insurance Needs.

Science.gov (United States)

Rose, Adam; Huyck, Charles K

2016-10-01

While catastrophe (CAT) modeling of property damage is well developed, modeling of business interruption (BI) lags far behind. One reason is the crude nature of functional relationships in CAT models that translate property damage into BI. Another is that estimating BI losses is more complicated because it depends greatly on public and private decisions during recovery with respect to resilience tactics that dampen losses by using remaining resources more efficiently to maintain business function and to recover more quickly. This article proposes a framework for improving hazard loss estimation for BI insurance needs. Improved data collection that allows for analysis at the level of individual facilities within a company can improve matching the facilities with the effectiveness of individual forms of resilience, such as accessing inventories, relocating operations, and accelerating repair, and can therefore improve estimation accuracy. We then illustrate the difference this can make in a case study example of losses from a hurricane. © 2016 Society for Risk Analysis.

Future projections of insured losses in the German private building sector following the A1B climatic change scenario

Science.gov (United States)

Held, H.; Gerstengarbe, F.-W.; Hattermann, F.; Pinto, J. G.; Ulbrich, U.; Böhm, U.; Born, K.; Büchner, M.; Donat, M. G.; Kücken, M.; Leckebusch, G. C.; Nissen, K.; Nocke, T.; Österle, H.; Pardowitz, T.; Werner, P. C.; Burghoff, O.; Broecker, U.; Kubik, A.

2012-04-01

We present an overview of a complementary-approaches impact project dealing with the consequences of climate change for the natural hazard branch of the insurance industry in Germany. The project was conducted by four academic institutions together with the German Insurance Association (GDV) and finalized in autumn 2011. A causal chain is modeled that goes from global warming projections over regional meteorological impacts to regional economic losses for private buildings, hereby fully covering the area of Germany. This presentation will focus on wind storm related losses, although the method developed had also been applied in part to hail and flood impact losses. For the first time, the GDV supplied their collected set of insurance cases, dating back for decades, for such an impact study. These data were used to calibrate and validate event-based damage functions which in turn were driven by three different types of regional climate models to generate storm loss projections. The regional models were driven by a triplet of ECHAM5 experiments following the A1B scenario which were found representative in the recent ENSEMBLES intercomparison study. In our multi-modeling approach we used two types of regional climate models that conceptually differ at maximum: a dynamical model (CCLM) and a statistical model based on the idea of biased bootstrapping (STARS). As a third option we pursued a hybrid approach (statistical-dynamical downscaling). For the assessment of climate change impacts, the buildings' infrastructure and their economic value is kept at current values. For all three approaches, a significant increase of average storm losses and extreme event return levels in the German private building sector is found for future decades assuming an A1B-scenario. However, the three projections differ somewhat in terms of magnitude and regional differentiation. We have developed a formalism that allows us to express the combined effect of multi-source uncertainty on return

The Application Law of Large Numbers That Predicts The Amount of Actual Loss in Insurance of Life

Science.gov (United States)

Tinungki, Georgina Maria

2018-03-01

The law of large numbers is a statistical concept that calculates the average number of events or risks in a sample or population to predict something. The larger the population is calculated, the more accurate predictions. In the field of insurance, the Law of Large Numbers is used to predict the risk of loss or claims of some participants so that the premium can be calculated appropriately. For example there is an average that of every 100 insurance participants, there is one participant who filed an accident claim, then the premium of 100 participants should be able to provide Sum Assured to at least 1 accident claim. The larger the insurance participant is calculated, the more precise the prediction of the calendar and the calculation of the premium. Life insurance, as a tool for risk spread, can only work if a life insurance company is able to bear the same risk in large numbers. Here apply what is called the law of large number. The law of large numbers states that if the amount of exposure to losses increases, then the predicted loss will be closer to the actual loss. The use of the law of large numbers allows the number of losses to be predicted better.

Estimating hypothetical present-day insured losses for past intense hurricanes in the French Antilles

Science.gov (United States)

Thornton, James; Desarthe, Jérémy; Naulin, Jean-Philippe; Garnier, Emmanuel; Liu, Ye; Moncoulon, David

2015-04-01

On the islands of the French Antilles, the period for which systematic meteorological measurements and historic event loss data are available is short relative to the recurrence intervals of very intense, damaging hurricanes. Additionally, the value of property at risk changes through time. As such, the recent past can only provide limited insight into potential losses from extreme storms in coming years. Here we present some research that seeks to overcome, as far as is possible, the limitations of record length in assessing the possible impacts of near-future hurricanes on insured properties. First, using the archives of the French overseas departments (which included administrative and weather reports, inventories of damage to houses, crops and trees, as well as some meteorological observations after 1950) we reconstructed the spatial patterns of hazard intensity associated with three historical events. They are: i) the 1928 Hurricane (Guadeloupe), ii) Hurricane Betsy (1956, Guadeloupe) and iii) Hurricane David (1979, Martinique). These events were selected because all were damaging, and the information available on each is rich. Then, using a recently developed catastrophe model for hurricanes affecting Guadeloupe, Martinique, Saint-Barthélemy and Saint-Martin, we simulated the hypothetical losses to insured properties that the reconstructed events might cause if they were to reoccur today. The model simulated damage due to wind, rainfall-induced flooding and storm surge flooding. These 'what if' scenarios provided an initial indication of the potential present-day exposure of the insurance industry to intense hurricanes. However, we acknowledge that historical events are unlikely to repeat exactly. We therefore extended the study by producing a stochastic event catalogue containing a large number of synthetic but plausible hurricane events. Instrumental data were used as a basis for event generation, but importantly the statistical methods we applied permit

Modelling in life insurance a management perspective

CERN Document Server

Norberg, Ragnar; Planchet, Frédéric

2016-01-01

Focussing on life insurance and pensions, this book addresses various aspects of modelling in modern insurance: insurance liabilities; asset-liability management; securitization, hedging, and investment strategies. With contributions from internationally renowned academics in actuarial science, finance, and management science and key people in major life insurance and reinsurance companies, there is expert coverage of a wide range of topics, for example: models in life insurance and their roles in decision making; an account of the contemporary history of insurance and life insurance mathematics; choice, calibration, and evaluation of models; documentation and quality checks of data; new insurance regulations and accounting rules; cash flow projection models; economic scenario generators; model uncertainty and model risk; model-based decision-making at line management level; models and behaviour of stakeholders. With author profiles ranging from highly specialized model builders to decision makers at chief ex...

Solvency II: How Geosciences become crucial for the Insurance Business

Science.gov (United States)

Grieser, Jürgen

2013-04-01

Solvency II is a Europe-wide framework to force insurers and reinsurers to fulfill solvency capital requirements (SCR). For the insurance market in Europe this means that each insurer and re-insurer has to quantify the financial risk of its portfolio. An insurer has to stay solvent even if the annual loss for a year becomes a 1-in-200-year loss event. Classical approaches to risk appraisal are based on actuarial models. Statistics of observed loss history over a couple of decades are used to estimate the risk for the near future. This pure statistical approach, however, cannot be used to reliably estimate the 1-in-200-year risk. It would be a meaningless extrapolation due to the high range of uncertainty. While around 25 years ago only actuarial models and expert knowledge were used for the estimation of solvency requirements, today reinsurers and major insurers use physical loss models to manage their risk. They are either build in-house or from vendors like Risk Management Solutions. In the frame of Solvency II each insurer has to calculate its 1-in-200-year annual loss. This can be done either by the so-called Standard Formula provided by the European Union or by detailed risk models. The estimation of annual financial losses is only possible if all hazards which can affect a portfolio are considered. For the international property insurance market, these can be earthquakes, winter storms, tropical cyclones, convective storms, tsunamis and floods. All these hazards are modeled by geoscientists. In the presentation the Standard Formula and the assumptions made will be discussed, especially the spatial structure of correlation presumed. The advantage of detailed loss models will be shown based on examples. The presentation will end with a short discussion of the challenges that risk modeling faces due to climate change.

77 FR 28788 - Health Insurance Issuers Implementing Medical Loss Ratio (MLR) Under the Patient Protection and...

Science.gov (United States)

2012-05-16

... DEPARTMENT OF HEALTH AND HUMAN SERVICES 45 CFR Part 158 [CMS-9998-IFC3] Health Insurance Issuers..., entitled ``Health Insurance Issuers Implementing Medical Loss Ratio (MLR) Requirements Under the Patient...) requirements for health insurance issuers under section 2718 of the Public Health Service Act, as added by the...

Estimating insured residential losses from large flood scenarios on the Tone River, Japan - a data integration approach

Science.gov (United States)

Okada, T.; McAneney, K. J.; Chen, K.

2011-12-01

Flooding on the Tone River, which drains the largest catchment area in Japan and is now home to 12 million people, poses significant risk to the Greater Tokyo Area. In April 2010, an expert panel in Japan, the Central Disaster Prevention Council, examined the potential for large-scale flooding and outlined possible mitigation measures in the Greater Tokyo Area. One of the scenarios considered closely mimics the pattern of flooding that occurred with the passage of Typhoon Kathleen in 1947 and would potentially flood some 680 000 households above floor level. Building upon that report, this study presents a Geographical Information System (GIS)-based data integration approach to estimate the insurance losses for residential buildings and contents as just one component of the potential financial cost. Using a range of publicly available data - census information, location reference data, insurance market information and flood water elevation data - this analysis finds that insurance losses for residential property alone could reach approximately 1 trillion JPY (US 12.5 billion). Total insurance losses, including commercial and industrial lines of business, are likely to be at least double this figure with total economic costs being much greater again. The results are sensitive to the flood scenario assumed, position of levee failures, local flood depths and extents, population and building heights. The Average Recurrence Interval (ARI) of the rainfall following Typhoon Kathleen has been estimated to be on the order of 200 yr; however, at this juncture it is not possible to put an ARI on the modelled loss since we cannot know the relative or joint probability of the different flooding scenarios. It is possible that more than one of these scenarios could occur simultaneously or that levee failure at one point might lower water levels downstream and avoid a failure at all other points. In addition to insurance applications, spatial analyses like that presented here have

Do self-insurance and disability insurance prevent consumption loss on disability?

OpenAIRE

Steffan G. Ball; Hamish W. Low

2009-01-01

In this paper we show the extent to which public insurance and self-insurance mitigate the cost of health shocks that limit the ability to work. We use consumption data from the UK to estimate the insurance provided by the government disability programme and account for the effectiveness of alternative self-insurance mechanisms. Individuals with a work-limiting health condition, but in receipt of disability insurance, have 7 percent lower consumption than those without such a condition. Self-...

Optimal non-linear health insurance.

Science.gov (United States)

Blomqvist, A

1997-06-01

Most theoretical and empirical work on efficient health insurance has been based on models with linear insurance schedules (a constant co-insurance parameter). In this paper, dynamic optimization techniques are used to analyse the properties of optimal non-linear insurance schedules in a model similar to one originally considered by Spence and Zeckhauser (American Economic Review, 1971, 61, 380-387) and reminiscent of those that have been used in the literature on optimal income taxation. The results of a preliminary numerical example suggest that the welfare losses from the implicit subsidy to employer-financed health insurance under US tax law may be a good deal smaller than previously estimated using linear models.

Health insurance basic actuarial models

CERN Document Server

Pitacco, Ermanno

2014-01-01

Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent misunderstanding in regards to both the purpose and the contents of health insurance products (and ‘protection products’, more generally) on the one hand, and the relevant actuarial structures on the other. In order to cover the basic principles regarding health insurance techniques, the first few chapters in this book are mainly devoted to the need for health insurance and a description of insurance products in this area (sickness insurance, accident insurance, critical illness covers, income protection, long-term care insurance, health-related benefits as riders to life insurance policies). An introduction to general actuarial and risk-management issues follows. Basic actuarial models are presented for sickness insurance and income protection (i.e. disability annuities). Several numerical examples help the reader understand the main features of pricing and reserving in the health insurance area. A short int...

Estimating insured residential losses from large flood scenarios on the Tone River, Japan – a data integration approach

Directory of Open Access Journals (Sweden)

T. Okada

2011-12-01

Full Text Available Flooding on the Tone River, which drains the largest catchment area in Japan and is now home to 12 million people, poses significant risk to the Greater Tokyo Area. In April 2010, an expert panel in Japan, the Central Disaster Prevention Council, examined the potential for large-scale flooding and outlined possible mitigation measures in the Greater Tokyo Area. One of the scenarios considered closely mimics the pattern of flooding that occurred with the passage of Typhoon Kathleen in 1947 and would potentially flood some 680 000 households above floor level. Building upon that report, this study presents a Geographical Information System (GIS-based data integration approach to estimate the insurance losses for residential buildings and contents as just one component of the potential financial cost. Using a range of publicly available data – census information, location reference data, insurance market information and flood water elevation data – this analysis finds that insurance losses for residential property alone could reach approximately 1 trillion JPY (US$ 12.5 billion. Total insurance losses, including commercial and industrial lines of business, are likely to be at least double this figure with total economic costs being much greater again. The results are sensitive to the flood scenario assumed, position of levee failures, local flood depths and extents, population and building heights. The Average Recurrence Interval (ARI of the rainfall following Typhoon Kathleen has been estimated to be on the order of 200 yr; however, at this juncture it is not possible to put an ARI on the modelled loss since we cannot know the relative or joint probability of the different flooding scenarios. It is possible that more than one of these scenarios could occur simultaneously or that levee failure at one point might lower water levels downstream and avoid a failure at all other points. In addition to insurance applications, spatial analyses like

Stochastic Modeling of Empirical Storm Loss in Germany

Science.gov (United States)

Prahl, B. F.; Rybski, D.; Kropp, J. P.; Burghoff, O.; Held, H.

2012-04-01

Based on German insurance loss data for residential property we derive storm damage functions that relate daily loss with maximum gust wind speed. Over a wide range of loss, steep power law relationships are found with spatially varying exponents ranging between approximately 8 and 12. Global correlations between parameters and socio-demographic data are employed to reduce the number of local parameters to 3. We apply a Monte Carlo approach to calculate German loss estimates including confidence bounds in daily and annual resolution. Our model reproduces the annual progression of winter storm losses and enables to estimate daily losses over a wide range of magnitude.

RISK CORRIDORS AND REINSURANCE IN HEALTH INSURANCE MARKETPLACES: Insurance for Insurers

OpenAIRE

LAYTON, TIMOTHY J.; MCGUIRE, THOMAS G.; SINAIKO, ANNA D.

2016-01-01

In order to encourage entry and lower prices, most regulated markets for health insurance include policies that seek to reduce the uncertainty faced by insurers. In addition to risk adjustment of premiums paid to plans, the Health Insurance Marketplaces established by the Affordable Care Act implement reinsurance and risk corridors. Reinsurance limits insurer costs associated with specific individuals, while risk corridors protect against aggregate losses. Both tighten the insurer's distribut...

Forest insurance market participants’ game behavior in China: An analysis based on tripartite dynamic game model

Directory of Open Access Journals (Sweden)

Ning Ma

2015-11-01

Full Text Available Purpose: In forest insurance market, there are three main participants including the insurance company, the forest farmer and the government. As different participant has different benefit object, there will be a complex and dynamic game relationship among all participants. The purpose of this paper is to make the game relationship among all participants in forest insurance market clear, and then to put forward some policy suggestions on the implementation of forest insurance from the view of game theory. Design/methodology/approach: Firstly, the static game model between the insurance company and the forest farmer is set up. According to the result of static game model, it’s difficult to implement forest insurance without government. Secondly, the tripartite dynamic game model among the government, the insurance company and the forest farmer is proposed, and the equilibrium solution of tripartite dynamic game model is acquired. Finally, the behavioral characteristics of all participants are analyzed according to the equilibrium solution of tripartite dynamic game model. Findings: the government’s allowance will be an important positive factor to implement forest insurance. The loss of the insurance company, which the lower insurance premium brings, can be compensated by the allowance from the government. The more the government provides allowance, the more actively the insurance company will implement forest insurance at a low insurance premium. In this situation, the forest farmer will be more likely to purchase the forest insurance, then the scope of forest insurance implementation will expend. Originality/value: There is a complex and dynamic game relationship among all participants in forest insurance market. Based on the tripartite dynamic game model, to make the game relationship between each participant clear is conducive to the implementation of forest insurance market in China.

Scientific relevance of Swiss property insurance data on flood risks and losses

Science.gov (United States)

Röthlisberger, Veronika; Bernet, Daniel; Keiler, Margreth

2015-04-01

The databases of Swiss flood insurance companies build a valuable but to date rarely used source of information for flood risk research. Detailed insights into the Swiss flood insurance system are crucial to evaluate the potential of the different databases for scientific analysis. Even though the flood insurance system modalities are mainly regulated on cantonal level there are some common principles that apply throughout Switzerland. First of all coverage against floods (and other particular natural hazards) is an integral part of every fire insurance policy for buildings or contents in Switzerland. This coupling of insurance as well as the statutory obligation to insure buildings in most of the cantons and movables in some of the cantons lead to a very high penetration. Second, in case of damage, the reinstatement costs (value as new) are compensated and third there are no (or little) deductible and co-pay. Thus the different datasets of the flood insurance companies would allow a very comprehensive data analysis. Moreover, insurance companies not only store electronically data about losses (typically date, amount of claims payment, cause of damage, identity of the insured object or policyholder) but also about insured objects. For insured objects the (insured) value and the details on the policy and its holder are the main feature to record. On buildings the insurance companies usually computerize additional information such as location, volume, year of construction or purpose of use. For the 19 (of total 26) cantons with a cantonal monopoly insurer the data of these insurance establishments have the additional value to represent (almost) the entire building stock of the respective canton. However, scientists face a wide range of the opportunities and challenges when using insurance data for flood research. The origin of flood insurance data implies that they are not generated for research but for business management. The presentation will highlighted pro and

Premium Forecasting of AN Insurance Company:

Science.gov (United States)

Fouladvand, M. Ebrahim; Darooneh, Amir H.

We present an analytical study of an insurance company. We model the company's performance on a statistical basis and evaluate the predicted annual income of the company in terms of insurance parameters namely the premium, the total number of insured, average loss claims etc. We restrict ourselves to a single insurance class the so-called automobile insurance. We show the existence of a crossover premium pc below which the company is operating at a loss. Above pc, we also give a detailed statistical analysis of the company's financial status and obtain the predicted profit along with the corresponding risk as well as ruin probability in terms of premium. Furthermore we obtain the optimal premium popt which maximizes the company's profit.

Turkish Compulsory Earthquake Insurance and "Istanbul Earthquake

Science.gov (United States)

Durukal, E.; Sesetyan, K.; Erdik, M.

2009-04-01

The city of Istanbul will likely experience substantial direct and indirect losses as a result of a future large (M=7+) earthquake with an annual probability of occurrence of about 2%. This paper dwells on the expected building losses in terms of probable maximum and average annualized losses and discusses the results from the perspective of the compulsory earthquake insurance scheme operational in the country. The TCIP system is essentially designed to operate in Turkey with sufficient penetration to enable the accumulation of funds in the pool. Today, with only 20% national penetration, and about approximately one-half of all policies in highly earthquake prone areas (one-third in Istanbul) the system exhibits signs of adverse selection, inadequate premium structure and insufficient funding. Our findings indicate that the national compulsory earthquake insurance pool in Turkey will face difficulties in covering incurring building losses in Istanbul in the occurrence of a large earthquake. The annualized earthquake losses in Istanbul are between 140-300 million. Even if we assume that the deductible is raised to 15%, the earthquake losses that need to be paid after a large earthquake in Istanbul will be at about 2.5 Billion, somewhat above the current capacity of the TCIP. Thus, a modification to the system for the insured in Istanbul (or Marmara region) is necessary. This may mean an increase in the premia and deductible rates, purchase of larger re-insurance covers and development of a claim processing system. Also, to avoid adverse selection, the penetration rates elsewhere in Turkey need to be increased substantially. A better model would be introduction of parametric insurance for Istanbul. By such a model the losses will not be indemnified, however will be directly calculated on the basis of indexed ground motion levels and damages. The immediate improvement of a parametric insurance model over the existing one will be the elimination of the claim processing

Modeling Flood Insurance Penetration in the European Non-Life Market: An Overview

Science.gov (United States)

Mohan, P.; Thomson, M.-K.; Das, A.

2012-04-01

, insurance cover is generally limited or not available in high risk zones due to high risk proximity. To estimate this relationship, flood extent maps, modeled return periods, socio- economic indicators and the spatial distribution of insured portfolios can be used to quantify the economic to insured exposure ratio. Adequately modeling these insurance conditions not only allows developing an industry view of the exposed property and values at risk from flood but also improves loss assessments. From an insurance perspective, such a model is beneficial for assessing insurance cover related to flood damage - especially due to differences in policies in high-exposure zones - the role of governments, and to assist insurers and reinsurers to make informed decision in allocating their portfolios.

Pricing of temperature index insurance

Directory of Open Access Journals (Sweden)

Che Mohd Imran Che Taib

2012-01-01

Full Text Available The aim of this paper is to study pricing of weather insurance contracts based on temperature indices. Three different pricing methods are analysed: the classical burn approach, index modelling and temperature modelling. We take the data from Malaysia as our empirical case. Our results show that there is a significant difference between the burn and index pricing approaches on one hand, and the temperature modelling method on the other. The latter approach is pricing the insurance contract using a seasonal autoregressive time series model for daily temperature variations, and thus provides a precise probabilistic model for the fine structure of temperature evolution. We complement our pricing analysis by an investigation of the profit/loss distribution from the contract, in the perspective of both the insured and the insurer.

A scoping study on the costs of indoor air quality illnesses:an insurance loss reduction perspective

Energy Technology Data Exchange (ETDEWEB)

Chen, Allan; Vine, Edward L.

1998-08-31

The incidence of commercial buildings with poor indoor air quality (IAQ), and the frequency of litigation over the effects of poor IAQ is increasing. If so, these increases have ramifications for insurance carriers, which pay for many of the costs of health care and general commercial liability. However, little is known about the actual costs to insurance companies from poor IAQ in buildings. This paper reports on the results of a literature search of buildings-related, business and legal databases, and interviews with insurance and risk management representatives aimed at finding information on the direct costs to the insurance industry of poor building IAQ, as well as the costs of litigation. The literature search and discussions with insurance and risk management professionals reported in this paper turned up little specific information about the costs of IAQ-related problems to insurance companies. However, those discussions and certain articles in the insurance industry press indicate that there is a strong awareness and growing concern over the "silent crisis" of IAQ and its potential to cause large industry losses, and that a few companies are taking steps to address this issue. The source of these losses include both direct costs to insurers from paying health insurance and professional liability claims, as weIl as the cost of litigation. In spite of the lack of data on how IAQ-related health problems affect their business, the insurance industry has taken the anecdotal evidence about their reality seriously enough to alter their policies in ways that have lessened their exposure. We conclude by briefly discussing four activities that need to be addressed in the near future: (1) quantifying IAQ-related insurance costs by sector, (2) educating the insurance industry about the importance of IAQ issues, (3) examining IAQ impacts on the insurance industry in the residential sector, and (4) evaluating the relationship between IAQ improvements and their impact on

Suggestion of Islamic Insurance Company Model

OpenAIRE

Abdullah Ibrahim Nazal

2015-01-01

This study is one of very few studies which have investigated Islamic Insurance Companies as solution. It explained its operations also comparing with Traditional Insurance Companies and theoretical Islamic insurance models. As result to this study Islamic Insurance companies are profit organization. It helps Islamic banks but it costs customer to face expect risk. Islamic Insurance companies have many ways to get profits and consider all customers installments grants. Its operation gap comes...

Flood Catastrophe Model for Designing Optimal Flood Insurance Program: Estimating Location-Specific Premiums in the Netherlands.

Science.gov (United States)

Ermolieva, T; Filatova, T; Ermoliev, Y; Obersteiner, M; de Bruijn, K M; Jeuken, A

2017-01-01

As flood risks grow worldwide, a well-designed insurance program engaging various stakeholders becomes a vital instrument in flood risk management. The main challenge concerns the applicability of standard approaches for calculating insurance premiums of rare catastrophic losses. This article focuses on the design of a flood-loss-sharing program involving private insurance based on location-specific exposures. The analysis is guided by a developed integrated catastrophe risk management (ICRM) model consisting of a GIS-based flood model and a stochastic optimization procedure with respect to location-specific risk exposures. To achieve the stability and robustness of the program towards floods with various recurrences, the ICRM uses stochastic optimization procedure, which relies on quantile-related risk functions of a systemic insolvency involving overpayments and underpayments of the stakeholders. Two alternative ways of calculating insurance premiums are compared: the robust derived with the ICRM and the traditional average annual loss approach. The applicability of the proposed model is illustrated in a case study of a Rotterdam area outside the main flood protection system in the Netherlands. Our numerical experiments demonstrate essential advantages of the robust premiums, namely, that they: (1) guarantee the program's solvency under all relevant flood scenarios rather than one average event; (2) establish a tradeoff between the security of the program and the welfare of locations; and (3) decrease the need for other risk transfer and risk reduction measures. © 2016 Society for Risk Analysis.

32 CFR 644.554 - Insurance against loss or damages to buildings and improvements by fire or acts of God.

Science.gov (United States)

2010-07-01

... 32 National Defense 4 2010-07-01 2010-07-01 true Insurance against loss or damages to buildings and improvements by fire or acts of God. 644.554 Section 644.554 National Defense Department of... Procedure § 644.554 Insurance against loss or damages to buildings and improvements by fire or acts of God...

Predictors of Weight Loss Maintenance following an Insurance-Sponsored Weight Management Program

OpenAIRE

Christiaan G. Abildso; Olivier Schmid; Megan Byrd; Sam Zizzi; Alessandro Quartiroli; Sean J. Fitzpatrick

2014-01-01

Intentional weight loss among overweight and obese adults (body mass index ≥ 25 kg/m2) is associated with numerous health benefits, but weight loss maintenance (WLM) following participation in weight management programming has proven to be elusive. Many individuals attempting to lose weight join formal programs, especially women, but these programs vary widely in focus, as do postprogram weight regain results. We surveyed 2,106 former participants in a community-based, insurance-sponsored wei...

Individual loss reserving with the Multivariate Skew Normal model

NARCIS (Netherlands)

Pigeon, M.; Antonio, K.; Denuit, M.

2011-01-01

In general insurance, the evaluation of future cash ows and solvency capital has become increasingly important. To assist in this process, the present paper proposes an individual discrete-time loss re- serving model describing the occurrence, the reporting delay, the timeto the first payment, and

THE MODEL OF INTERACTION BETWEEN INSURANCE INTERMEDIARIES AND INSURANCE COMPANIES IN THE ASSURANCE OF SUSTAINABLE DEVELOPMENT OF THE INSURANCE MARKET

Directory of Open Access Journals (Sweden)

Nataliia Kudriavska

2017-11-01

Full Text Available The purpose of this paper is the investigation of the model of interaction between insurance intermediaries and insurance companies in the assurance of sustainable development of the insurance market. The methodology is based on the new studies and books. It is underlined the importance of potency and effectiveness of this model, its influence on the insurance market stability. It is analysed the European experience and specific of Ukrainian insurance market. The main ways for improving its model and ways of its practical realization are characterized. Results. The problems that exist in the broker market in general are connected with an ineffective state policy. In particular, we can say about the absence of many laws, acts, resolutions, which explain what a broker have to do in case of different problems with insurance companies, another brokers and clients. At the same time, the problem of distrust to national brokers exists. It provokes a decline of the demand for their services and so on. However, it is possible to solve these problems. Practical implications. For this, it is necessary to do some acts. The first one is to implement resolutions that regulate relationships between insurance brokers and insurance companies, clearly regulate the model of its interaction. This model affects the stability of the insurance market in general. The second is to find methods of solving problems of the increase in insurance culture of the population (for example, by the way of advertisement. The third one is to solve problems connected with the appearance of foreign brokers in the insurance market of Ukraine. Actually, the Ukrainian market of insurance brokers is not developed enough. That is why it needs big changes and reforms. Value/originality. Among alternatives of the strategic development of insurance, the method of quick liberalization and gradual development is distinguished. According to the liberal way, it is possible to transfer to the

How can sensitivity analysis improve the robustness of mathematical models utilized by the re/insurance industry?

Science.gov (United States)

Noacco, V.; Wagener, T.; Pianosi, F.; Philp, T.

2017-12-01

Insurance companies provide insurance against a wide range of threats, such as natural catastrophes, nuclear incidents and terrorism. To quantify risk and support investment decisions, mathematical models are used, for example to set the premiums charged to clients that protect from financial loss, should deleterious events occur. While these models are essential tools for adequately assessing the risk attached to an insurer's portfolio, their development is costly and their value for decision-making may be limited by an incomplete understanding of uncertainty and sensitivity. Aside from the business need to understand risk and uncertainty, the insurance sector also faces regulation which requires them to test their models in such a way that uncertainties are appropriately captured and that plans are in place to assess the risks and their mitigation. The building and testing of models constitutes a high cost for insurance companies, and it is a time intensive activity. This study uses an established global sensitivity analysis toolbox (SAFE) to more efficiently capture the uncertainties and sensitivities embedded in models used by a leading re/insurance firm, with structured approaches to validate these models and test the impact of assumptions on the model predictions. It is hoped that this in turn will lead to better-informed and more robust business decisions.

75 FR 15777 - Common Crop Insurance Regulations, Basic Provisions; and Various Crop Insurance Provisions

Science.gov (United States)

2010-03-30

... (protection for production losses only) within one Basic Provisions and the applicable Crop Provisions to..., Macadamia Nut Crop Insurance Provisions, Onion Crop Insurance Provisions, Dry Pea Crop Insurance Provisions... (protection for production losses only) and revenue protection (protection against loss of revenue caused by...

Lectures on insurance models

CERN Document Server

Ramasubramanian, S

2009-01-01

Insurance has become a necessary aspect of modern society. The mathematical basis of insurance modeling is best expressed in terms of continuous time stochastic processes. This introductory text on actuarial risk theory deals with the Cramer-Lundberg model and the renewal risk model. Their basic structure and properties, including the renewal theorems as well as the corresponding ruin problems, are studied. There is a detailed discussion of heavy tailed distributions, which have become increasingly relevant. The Lundberg risk process with investment in risky asset is also considered. This book will be useful to practitioners in the field and to graduate students interested in this important branch of applied probability.

Nuclear power plant insurance - experience and loss statistics

International Nuclear Information System (INIS)

Feldmann, J.; Dangelmaier, P.

1982-01-01

Nuclear power plants are treated separately when concluding insurance contracts. National insurance pools have been established in industrial countries, co-operating on an international basis, for insuring a nuclear power plant. In combined property insurance, the nuclear risk is combined with the fire risk. In addition, there are the engineering insurances. Of these, the one of significance for nuclear power plants is the machinery insurance, which can be covered on the free insurance market. Nuclear power plants have had fewer instances of damage than other, conventional installations. (orig.) [de

On a Stochastic Model in Insurance

Indian Academy of Sciences (India)

Insurance mathematics today is considered a part of applied probability theory. Main objectives are modelling of claims that arrive in an insurance business, and decide how premiums are to be charged to avoid ruin of the insurance company. GENERAL I ARTICLE various results and the heuristics can be appreciated.

Flood risk and insurance loss potential in the Thames Gateway

Science.gov (United States)

Eldridge, J.; Horn, D.

2009-04-01

The Thames Gateway, currently Europe's largest regeneration project, is an area of redevelopment located in the South East of England, with Government plans to create up to 160,000 new homes and 180,000 new jobs by 2016. Although the new development is intended to contribute £12bn annually to the economy, the potential flood risk is high, with much of the area situated on Thames tidal floodplain and vulnerable to both storm surges and peak river flows. This poses significant hazard to those inhabiting the area and has raised concern amongst the UK insurance industry, who would be liable for significant financial claims if a large flood event were to occur, particularly with respect to the number of new homes and businesses being built in flood risk areas. Flood risk and the potential damage to both lives and assets in vulnerable areas have gained substantial recognition, in light of recent flooding events, from both governmental agencies and in the public's awareness of flood hazard. This has resulted in a change in UK policy with planning policy for flood risk (PPS25, Planning Policy Statement 25) adopting a more strategic approach to development, as well as a new Flooding and Water Bill which is due for consultation in 2009. The Government and the Association of British Insurers, who represent the UK insurance industry, have also recently changed their Statement of Principles which guides provision of flood insurance in the future. This PhD research project aims to quantify flood risk in the Thames Gateway area with a view to evaluating the insurance loss potential under different insurance and planning scenarios. Using current sources of inundation extent, and incorporating varying insurance penetration rates and degrees of adoption of planning policy and guidance, it focuses on estimating flood risk under these different scenarios. This presentation introduces the development of the project and the theory and methodology which will be used to address the

Connecting Capital and Catastrophe in a Modeled World - How re/insurance and public science interact to manage risk for societal benefit

Science.gov (United States)

Douglas, R.

2010-12-01

Society, at local and global scales, seeks improved ways of managing the impact and sharing the costs of extreme natural events across populations via public and private mechanisms. Concerns over potential climate change and climate variability are amplifying the importance of these questions among public policy, business and regulatory communities. Through its financial obligations to exposed populations, the international insurance and reinsurance sector is directly affected by the frequency, severity and impact of extreme events. In many jurisdictions insurance contracts are regulated to tolerate the maximum probable loss events which are expected at 1 in 200 year return periods. This risk tolerance requirement renders re/insurers to undertake distinctive risk analysis among financial sector institutions. Natural catastrophe risk is a major component of re/insurer risk at the 1:200 year return period and a significant driver of the minimum capital requirements imposed on re/insurers. Historic claims records are insufficient on their own to evaluate potential losses at these return periods and over the last twenty years a significant sub-sector of the re/insurance industry has emerged known as catastrophe risk modelling. This has brought a progress and influential approach in applying science to gain a great handle of the expected losses to portfolios by developing increasingly robust analysis of hazards, exposures, vulnerabilities and impacts. As a result of these innovations the re/insurance sector has become more resilient to natural catastrophes. In recent years there has been an accelerated and deepening interaction between the re/insurance sector and public science across natural hazards risk research. The medium of modelling is providing a common vehicle for science and industry communities to collaborate and new supply chains are emerging from blue sky public science, through to applied research and operation modelling. Increasingly both sides are sharing

Application of Actuarial Modelling in Insurance Industry

OpenAIRE

Burcã Ana-Maria; Bãtrînca Ghiorghe

2011-01-01

In insurance industry, the financial stability of insurance companies represents an issue of vital importance. In order to maintain the financial stability and meet minimum regulatory requirements, actuaries apply actuarial modeling. Modeling has been at the center of actuarial science and of all the sciences from the beginning of their journey. In insurance industry, actuarial modeling creates a framework that allows actuaries to identify, understand, quantify and manage a wide range of risk...

Adaptation to hydrological extremes through insurance: a financial fund simulation model under changing scenarios

Science.gov (United States)

Guzman, Diego; Mohor, Guilherme; Câmara, Clarissa; Mendiondo, Eduardo

2017-04-01

Researches from around the world relate global environmental changes with the increase of vulnerability to extreme events, such as heavy and scarce precipitations - floods and droughts. Hydrological disasters have caused increasing losses in recent years. Thus, risk transfer mechanisms, such as insurance, are being implemented to mitigate impacts, finance the recovery of the affected population, and promote the reduction of hydrological risks. However, among the main problems in implementing these strategies, there are: First, the partial knowledge of natural and anthropogenic climate change in terms of intensity and frequency; Second, the efficient risk reduction policies require accurate risk assessment, with careful consideration of costs; Third, the uncertainty associated with numerical models and input data used. The objective of this document is to introduce and discuss the feasibility of the application of Hydrological Risk Transfer Models (HRTMs) as a strategy of adaptation to global climate change. The article shows the development of a methodology for the collective and multi-sectoral vulnerability management, facing the hydrological risk in the long term, under an insurance funds simulator. The methodology estimates the optimized premium as a function of willingness to pay (WTP) and the potential direct loss derived from hydrological risk. The proposed methodology structures the watershed insurance scheme in three analysis modules. First, the hazard module, which characterizes the hydrologic threat from the recorded series input or modelled series under IPCC / RCM's generated scenarios. Second, the vulnerability module calculates the potential economic loss for each sector1 evaluated as a function of the return period "TR". Finally, the finance module determines the value of the optimal aggregate premium by evaluating equiprobable scenarios of water vulnerability; taking into account variables such as the maximum limit of coverage, deductible

48 CFR 28.308 - Self-insurance.

Science.gov (United States)

2010-10-01

... REQUIREMENTS BONDS AND INSURANCE Insurance 28.308 Self-insurance. (a) When it is anticipated that 50 percent or... risks, limits of coverage, assignments of safety and loss control, and legal service responsibilities... projected average loss; and (10) A disclosure of all captive insurance company and re-insurance agreements...

Insurance loss coverage under restricted risk classification

OpenAIRE

Hao, Mingjie; Radfall Charitable Trust

2017-01-01

Insurers hope to make profit through pooling policies from a large number of individuals. Unless the risk in question is similar for all potential customers, an insurer is exposed to the possibility of adverse selection by attracting only high-risk individuals. To counter this, insurers have traditionally employed underwriting principles, identifying suitable risk factors to subdivide their potential customers into homogeneous risk groups, based on which risk-related premiums can be charged. ...

Insurance - Piper Alpha ''et al''

International Nuclear Information System (INIS)

Hales, K.

1995-01-01

This paper opens with some brief information about the Piper Alpha loss, how the loss was handled and its final cost. More importantly, it discusses the effect of the Piper Alpha loss on the world insurance market including the oil insurance captives such as O.I.L Limited. Finally, the insurance market current status and prognosis for the future are considered. (Author)

77 FR 25349 - Mutual Insurance Holding Company Treated as Insurance Company

Science.gov (United States)

2012-04-30

..., the first mutual fire insurer was established. The first American mutual insurance company, the Philadelphia Contributionship for the Insurance of Houses from Loss by Fire, was founded in 1752.\\3\\ \\3\\ The...

Applying weather index insurance to agricultural pest and disease risks

NARCIS (Netherlands)

Norton, Michael; Sprundel, van Gert Jan; Turvey, Calum G.; Meuwissen, Miranda P.M.

2016-01-01

In this paper, we explore the application of weather index insurance to plant pest and disease management strategies using two distinct models: (1) insuring crop loss due to disease incidence (“Crop Insurance”) and (2) insuring the use of pesticides (“Pesticide Insurance”). We find that despite

CMPH: a multivariate phase-type aggregate loss distribution

Directory of Open Access Journals (Sweden)

Ren Jiandong

2017-12-01

Full Text Available We introduce a compound multivariate distribution designed for modeling insurance losses arising from different risk sources in insurance companies. The distribution is based on a discrete-time Markov Chain and generalizes the multivariate compound negative binomial distribution, which is widely used for modeling insurance losses.We derive fundamental properties of the distribution and discuss computational aspects facilitating calculations of risk measures of the aggregate loss, as well as allocations of the aggregate loss to individual types of risk sources. Explicit formulas for the joint moment generating function and the joint moments of different loss types are derived, and recursive formulas for calculating the joint distributions given. Several special cases of particular interest are analyzed. An illustrative numerical example is provided.

A Tsunami Model for Chile for (Re) Insurance Purposes

Science.gov (United States)

Arango, Cristina; Rara, Vaclav; Puncochar, Petr; Trendafiloski, Goran; Ewing, Chris; Podlaha, Adam; Vatvani, Deepak; van Ormondt, Maarten; Chandler, Adrian

2014-05-01

Catastrophe models help (re)insurers to understand the financial implications of catastrophic events such as earthquakes and tsunamis. In earthquake-prone regions such as Chile,(re)insurers need more sophisticated tools to quantify the risks facing their businesses, including models with the ability to estimate secondary losses. The 2010 (M8.8) Maule (Chile) earthquake highlighted the need for quantifying losses from secondary perils such as tsunamis, which can contribute to the overall event losses but are not often modelled. This paper presents some key modelling aspects of a new earthquake catastrophe model for Chile developed by Impact Forecasting in collaboration with Aon Benfield Research partners, focusing on the tsunami component. The model has the capability to model tsunami as a secondary peril - losses due to earthquake (ground-shaking) and induced tsunamis along the Chilean coast are quantified in a probabilistic manner, and also for historical scenarios. The model is implemented in the IF catastrophe modelling platform, ELEMENTS. The probabilistic modelling of earthquake-induced tsunamis uses a stochastic event set that is consistent with the seismic (ground shaking) hazard developed for Chile, representing simulations of earthquake occurrence patterns for the region. Criteria for selecting tsunamigenic events (from the stochastic event set) are proposed which take into consideration earthquake location, depth and the resulting seabed vertical displacement and tsunami inundation depths at the coast. The source modelling software RuptGen by Babeyko (2007) was used to calculate static seabed vertical displacement resulting from earthquake slip. More than 3,600 events were selected for tsunami simulations. Deep and shallow water wave propagation is modelled using the Delft3D modelling suite, which is a state-of-the-art software developed by Deltares. The Delft3D-FLOW module is used in 2-dimensional hydrodynamic simulation settings with non-steady flow

Handbook on loss reserving

CERN Document Server

Schmidt, Klaus; Schnaus, Anja

2016-01-01

This handbook presents the basic aspects of actuarial loss reserving. Besides the traditional methods, it also includes a description of more recent ones and a discussion of certain problems occurring in actuarial practice, like inflation, scarce data, large claims, slow loss development, the use of market statistics, the need for simulation techniques and the task of calculating best estimates and ranges of future losses. In property and casualty insurance the provisions for payment obligations from losses that have occurred but have not yet been settled usually constitute the largest item on the liabilities side of an insurer's balance sheet. For this reason, the determination and evaluation of these loss reserves is of considerable economic importance for every property and casualty insurer. Actuarial students, academics as well as practicing actuaries will benefit from this overview of the most important actuarial methods of loss reserving by developing an understanding of the underlying stochastic models...

Communications Centre Model in Insurance Business

Directory of Open Access Journals (Sweden)

Danijel Bara

2013-07-01

Full Text Available The aim of this paper is to define a communications centre model in an insurance company that essentially has two objectives. The first objective is focused on providing quality support with the sales process thereby creating a strategic advantage over the competition while the second objective is focused on improving the link between internal organizational units whose behaviour can often render decision-making at all levels difficult. The function of sales is fundamental for an insurance company. Whether an insurance company will fulfil its basic function, which is transfer of risk from the insured party to the insurer who agrees tonreimburse incidental damages to the damaged party and distribute them among all members of the risk group on the principles of reciprocity and solidarity, depends on successful sales and billing (Andrijašević & Petranović, 1999. For an insurance company to operate successfully in a demanding market, it is necessary to meet the needs of potential clients who then must be at the centre of all the activities of the insurer. A satisfied policy holder, who is respected by the insurer as a partner, is a guarantee that the sales of insurance services will be successful and that the insured party will come back to the same insurance company. In the era of globalization and all-pervading new technologies and modes of communication, policy holders need to be able to communicate with insurance company employees. Quality communication is a good foundation for a sales conversation. A fast flow of all types of information within an organisation using a single communication module makes decision-making at all levels quicker and easier.

A Review of Flood Loss Models as Basis for Harmonization and Benchmarking.

Directory of Open Access Journals (Sweden)

Tina Gerl

Full Text Available Risk-based approaches have been increasingly accepted and operationalized in flood risk management during recent decades. For instance, commercial flood risk models are used by the insurance industry to assess potential losses, establish the pricing of policies and determine reinsurance needs. Despite considerable progress in the development of loss estimation tools since the 1980s, loss estimates still reflect high uncertainties and disparities that often lead to questioning their quality. This requires an assessment of the validity and robustness of loss models as it affects prioritization and investment decision in flood risk management as well as regulatory requirements and business decisions in the insurance industry. Hence, more effort is needed to quantify uncertainties and undertake validations. Due to a lack of detailed and reliable flood loss data, first order validations are difficult to accomplish, so that model comparisons in terms of benchmarking are essential. It is checked if the models are informed by existing data and knowledge and if the assumptions made in the models are aligned with the existing knowledge. When this alignment is confirmed through validation or benchmarking exercises, the user gains confidence in the models. Before these benchmarking exercises are feasible, however, a cohesive survey of existing knowledge needs to be undertaken. With that aim, this work presents a review of flood loss-or flood vulnerability-relationships collected from the public domain and some professional sources. Our survey analyses 61 sources consisting of publications or software packages, of which 47 are reviewed in detail. This exercise results in probably the most complete review of flood loss models to date containing nearly a thousand vulnerability functions. These functions are highly heterogeneous and only about half of the loss models are found to be accompanied by explicit validation at the time of their proposal. This paper

A Review of Flood Loss Models as Basis for Harmonization and Benchmarking.

Science.gov (United States)

Gerl, Tina; Kreibich, Heidi; Franco, Guillermo; Marechal, David; Schröter, Kai

2016-01-01

Risk-based approaches have been increasingly accepted and operationalized in flood risk management during recent decades. For instance, commercial flood risk models are used by the insurance industry to assess potential losses, establish the pricing of policies and determine reinsurance needs. Despite considerable progress in the development of loss estimation tools since the 1980s, loss estimates still reflect high uncertainties and disparities that often lead to questioning their quality. This requires an assessment of the validity and robustness of loss models as it affects prioritization and investment decision in flood risk management as well as regulatory requirements and business decisions in the insurance industry. Hence, more effort is needed to quantify uncertainties and undertake validations. Due to a lack of detailed and reliable flood loss data, first order validations are difficult to accomplish, so that model comparisons in terms of benchmarking are essential. It is checked if the models are informed by existing data and knowledge and if the assumptions made in the models are aligned with the existing knowledge. When this alignment is confirmed through validation or benchmarking exercises, the user gains confidence in the models. Before these benchmarking exercises are feasible, however, a cohesive survey of existing knowledge needs to be undertaken. With that aim, this work presents a review of flood loss-or flood vulnerability-relationships collected from the public domain and some professional sources. Our survey analyses 61 sources consisting of publications or software packages, of which 47 are reviewed in detail. This exercise results in probably the most complete review of flood loss models to date containing nearly a thousand vulnerability functions. These functions are highly heterogeneous and only about half of the loss models are found to be accompanied by explicit validation at the time of their proposal. This paper exemplarily presents

Comprehensive flood economic losses: review of the potential damage and implementation of an agricultural impact model

Directory of Open Access Journals (Sweden)

Mao Gwladys

2016-01-01

Full Text Available With an annual loss averaging 580 M€ between 1990 and 2014, floods are the main natural catastrophe (Nat Cat risk for the French Nat Cat compensation scheme. As part of its role in this scheme, the Caisse Centrale de Réassurance (CCR offers state guaranteed reinsurance programs and has been modelling the risk of flooding since 2003. This model is based on the traditional valuation approach of direct tangible costs which pairs a physical model with exposure through damage curves. CCR wishes now to widen the studied damage scope to insured and noninsured economic costs and has been collaborating with the SAF research laboratory from the Institute of Financial and Insurance Sciences (ISFA since 2014. CCR’s model has been used to estimate the insured direct damage to residential and non-residential properties and it is now being developed to include damage to vehicles, agriculture and network infrastructures. Research is also being carried out to take into account business interruptions and indirect losses using an Input-Output model. This article describes the undergoing work on model development to estimate the damage to agriculture.

Multivariate Frequency-Severity Regression Models in Insurance

Directory of Open Access Journals (Sweden)

Edward W. Frees

2016-02-01

Full Text Available In insurance and related industries including healthcare, it is common to have several outcome measures that the analyst wishes to understand using explanatory variables. For example, in automobile insurance, an accident may result in payments for damage to one’s own vehicle, damage to another party’s vehicle, or personal injury. It is also common to be interested in the frequency of accidents in addition to the severity of the claim amounts. This paper synthesizes and extends the literature on multivariate frequency-severity regression modeling with a focus on insurance industry applications. Regression models for understanding the distribution of each outcome continue to be developed yet there now exists a solid body of literature for the marginal outcomes. This paper contributes to this body of literature by focusing on the use of a copula for modeling the dependence among these outcomes; a major advantage of this tool is that it preserves the body of work established for marginal models. We illustrate this approach using data from the Wisconsin Local Government Property Insurance Fund. This fund offers insurance protection for (i property; (ii motor vehicle; and (iii contractors’ equipment claims. In addition to several claim types and frequency-severity components, outcomes can be further categorized by time and space, requiring complex dependency modeling. We find significant dependencies for these data; specifically, we find that dependencies among lines are stronger than the dependencies between the frequency and average severity within each line.

Supporting Crop Loss Insurance Policy of Indonesia through Rice Yield Modelling and Forecasting

Science.gov (United States)

van Verseveld, Willem; Weerts, Albrecht; Trambauer, Patricia; de Vries, Sander; Conijn, Sjaak; van Valkengoed, Eric; Hoekman, Dirk; Grondard, Nicolas; Hengsdijk, Huib; Schrevel, Aart; Vlasbloem, Pieter; Klauser, Dominik

2017-04-01

The Government of Indonesia has decided on a crop insurance policy to assist Indonesia's farmers and to boost food security. To support the Indonesian government, the G4INDO project (www.g4indo.org) is developing/constructing an integrated platform implemented in the Delft-FEWS forecasting system (Werner et al., 2013). The integrated platform brings together remote sensed data (both visible and radar) and hydrologic, crop and reservoir modelling and forecasting to improve the modelling and forecasting of rice yield. The hydrological model (wflow_sbm), crop model (wflow_lintul) and reservoir models (RTC-Tools) are coupled on time stepping basis in the OpenStreams framework (see https://github.com/openstreams/wflow) and deployed in the integrated platform to support seasonal forecasting of water availability and crop yield. First we will show the general idea about the G4INDO project, the integrated platform (including Sentinel 1 & 2 data) followed by first (reforecast) results of the coupled models for predicting water availability and crop yield in the Brantas catchment in Java, Indonesia. Werner, M., Schellekens, J., Gijsbers, P., Van Dijk, M., Van den Akker, O. and Heynert K, 2013. The Delft-FEWS flow forecasting system, Environmental Modelling & Software; 40:65-77. DOI: 10.1016/j.envsoft.2012.07.010.

Deductibles in health insurance

Science.gov (United States)

Dimitriyadis, I.; Öney, Ü. N.

2009-11-01

This study is an extension to a simulation study that has been developed to determine ruin probabilities in health insurance. The study concentrates on inpatient and outpatient benefits for customers of varying age bands. Loss distributions are modelled through the Allianz tool pack for different classes of insureds. Premiums at different levels of deductibles are derived in the simulation and ruin probabilities are computed assuming a linear loading on the premium. The increase in the probability of ruin at high levels of the deductible clearly shows the insufficiency of proportional loading in deductible premiums. The PH-transform pricing rule developed by Wang is analyzed as an alternative pricing rule. A simple case, where an insured is assumed to be an exponential utility decision maker while the insurer's pricing rule is a PH-transform is also treated.

Model estimation of claim risk and premium for motor vehicle insurance by using Bayesian method

Science.gov (United States)

Sukono; Riaman; Lesmana, E.; Wulandari, R.; Napitupulu, H.; Supian, S.

2018-01-01

Risk models need to be estimated by the insurance company in order to predict the magnitude of the claim and determine the premiums charged to the insured. This is intended to prevent losses in the future. In this paper, we discuss the estimation of risk model claims and motor vehicle insurance premiums using Bayesian methods approach. It is assumed that the frequency of claims follow a Poisson distribution, while a number of claims assumed to follow a Gamma distribution. The estimation of parameters of the distribution of the frequency and amount of claims are made by using Bayesian methods. Furthermore, the estimator distribution of frequency and amount of claims are used to estimate the aggregate risk models as well as the value of the mean and variance. The mean and variance estimator that aggregate risk, was used to predict the premium eligible to be charged to the insured. Based on the analysis results, it is shown that the frequency of claims follow a Poisson distribution with parameter values λ is 5.827. While a number of claims follow the Gamma distribution with parameter values p is 7.922 and θ is 1.414. Therefore, the obtained values of the mean and variance of the aggregate claims respectively are IDR 32,667,489.88 and IDR 38,453,900,000,000.00. In this paper the prediction of the pure premium eligible charged to the insured is obtained, which amounting to IDR 2,722,290.82. The prediction of the claims and premiums aggregate can be used as a reference for the insurance company’s decision-making in management of reserves and premiums of motor vehicle insurance.

Sum Insured Determination for Cereal, Citrus and Vineyards in the Spanish Agricultural Insurance System

Science.gov (United States)

Lozano, C.; Tarquis, A. M.; Gómez-Barona, J. A.

2012-04-01

In general, insurance is a form of risk management used to hedge against a contingent loss. The conventional definition is the equitable transfer of a risk of loss from one entity to another in exchange for a premium or a guaranteed and quantifiable small loss to prevent a large and possibly devastating loss being agricultural insurance a special line of property insurance. Agriculture insurance, as actually are designed in the Spanish scenario, were established in 1978. At the macroeconomic insurance studies scale, it is necessary to know a basic element for the insurance actuarial components: sum insured. When a new risk assessment has to be evaluated in the insurance framework, it is essential to determinate venture capital in the total Spanish agriculture. In this study, three different crops (cereal, citrus and vineyards) cases are showed to determinate sum insured as they are representative of the cases found in the Spanish agriculture. Crop sum insured is calculated by the product of crop surface, unit surface production and crop price insured. In the cereal case, winter as spring cereal sowing, represents the highest Spanish crop surface, above to 6 millions of hectares (ha). Meanwhile, the four citrus species (oranges, mandarins, lemons and grapefruits) occupied an extension just over 275.000 ha. On the other hand, vineyard target to wine process shows almost one million of ha in Spain. A new method has been applied to estimate crop sum insured in these three cases. Under the maximum economic impact assumption, the maximum market price has been used to insurance each species. Depending on crop and reliability of the data base available, the insured area or insured production has been used in this estimation. When for a certain crop varieties or type of varieties show different insurance prices a geometric average was used as average insurance price for that particular crop. One extreme difficult case was vineyards, where differentiate prices based on

Generalized Linear Models in Vehicle Insurance

Directory of Open Access Journals (Sweden)

Silvie Kafková

2014-01-01

Full Text Available Actuaries in insurance companies try to find the best model for an estimation of insurance premium. It depends on many risk factors, e.g. the car characteristics and the profile of the driver. In this paper, an analysis of the portfolio of vehicle insurance data using a generalized linear model (GLM is performed. The main advantage of the approach presented in this article is that the GLMs are not limited by inflexible preconditions. Our aim is to predict the relation of annual claim frequency on given risk factors. Based on a large real-world sample of data from 57 410 vehicles, the present study proposed a classification analysis approach that addresses the selection of predictor variables. The models with different predictor variables are compared by analysis of deviance and Akaike information criterion (AIC. Based on this comparison, the model for the best estimate of annual claim frequency is chosen. All statistical calculations are computed in R environment, which contains stats package with the function for the estimation of parameters of GLM and the function for analysis of deviation.

76 FR 20298 - Insurer Reporting Requirements; List of Insurers; Required To File Reports

Science.gov (United States)

2011-04-12

... vehicle insurers that are required to file reports on their motor vehicle theft loss experiences. An... the agency. Each insurer's report includes information about thefts and recoveries of motor vehicles... more vehicles not covered by theft insurance policies issued by insurers of motor vehicles, other than...

75 FR 34966 - Insurer Reporting Requirements; List of Insurers Required To File Reports

Science.gov (United States)

2010-06-21

... vehicle insurers that are required to file reports on their motor vehicle theft loss experiences. An... the agency. Each insurer's report includes information about thefts and recoveries of motor vehicles... vehicles not covered by theft insurance policies issued by insurers of motor vehicles, other than any...

INSURANCE MARKET. GENERAL CONSIDERATIONS OF INSURANCES IN ROMANIA

Directory of Open Access Journals (Sweden)

MARINEL NEDELUŢ

2013-10-01

Full Text Available Insurance is a contract made by a company or society, or by the state, to provide a guarantee for loss, damage, illness, death etc in return for regular payments. In other words it is a means by which one pays a relatively small known cost for protection against an uncertain and much larger cost. Still, this contract (insurance policy makes it possible for the insured to cover only losses that are measurable in terms of money and caused strictly by hazardous events, independent from own doing. If no such events should happen, the benefits won’t exist in a tangible, material form, but will take the shape of security against ruin. Since the insurance industry has developed more during the last decade due to the powerful players that have entered the market, the services provided by the insurance companies, and not only their products have evolved a lot in order to meet the requirements of the consumers, and to make them familiar with this type of investments. Therefore all the means of advertising became essential in this process of implementation and familiarization with this area of activity: mass-media advertising, insurance brokerage companies, the internet are all parts of this process.

A Review of Flood Loss Models as Basis for Harmonization and Benchmarking

Science.gov (United States)

Kreibich, Heidi; Franco, Guillermo; Marechal, David

2016-01-01

Risk-based approaches have been increasingly accepted and operationalized in flood risk management during recent decades. For instance, commercial flood risk models are used by the insurance industry to assess potential losses, establish the pricing of policies and determine reinsurance needs. Despite considerable progress in the development of loss estimation tools since the 1980s, loss estimates still reflect high uncertainties and disparities that often lead to questioning their quality. This requires an assessment of the validity and robustness of loss models as it affects prioritization and investment decision in flood risk management as well as regulatory requirements and business decisions in the insurance industry. Hence, more effort is needed to quantify uncertainties and undertake validations. Due to a lack of detailed and reliable flood loss data, first order validations are difficult to accomplish, so that model comparisons in terms of benchmarking are essential. It is checked if the models are informed by existing data and knowledge and if the assumptions made in the models are aligned with the existing knowledge. When this alignment is confirmed through validation or benchmarking exercises, the user gains confidence in the models. Before these benchmarking exercises are feasible, however, a cohesive survey of existing knowledge needs to be undertaken. With that aim, this work presents a review of flood loss–or flood vulnerability–relationships collected from the public domain and some professional sources. Our survey analyses 61 sources consisting of publications or software packages, of which 47 are reviewed in detail. This exercise results in probably the most complete review of flood loss models to date containing nearly a thousand vulnerability functions. These functions are highly heterogeneous and only about half of the loss models are found to be accompanied by explicit validation at the time of their proposal. This paper exemplarily

Making Better Re/Insurance Underwriting and Capital Management Decisions with Public-Private-Academic Partnerships

Science.gov (United States)

Michel, G.; Gunasekera, R.; Werner, A.; Galy, H.

2012-04-01

Similar to 2001, 2004, and 2005, 2011 was another year of unexpected international catastrophe events, in which insured losses were more than twice the expected long-term annual average catastrophe losses of USD 30 to 40bn. Key catastrophe events that significantly contributed these losses included the Mw 9.0 Great Tohoku earthquake and tsunami, the Jan. 2011 floods in Queensland, the October 2011 floods in Thailand, the Mw 6.1 Christchurch earthquake and Convective system (Tornado) in United States. However, despite considerable progress in catastrophe modelling, the advent of global catastrophe models, increasing risk model coverage and skill in the detailed modelling, the above mentioned events were not satisfactorily modelled by the current mainstream Re/Insurance catastrophe models. This presentation therefore address problems in models and incomplete understanding identified from recent catastrophic events by considering: i) the current modelling environment, and ii) how the current processes could be improved via: a) the understanding of risk within science networks such as the Willis Research Network, and b) the integration of risk model results from available insurance catastrophe models and tools. This presentation aims to highlight the needed improvements in decision making and market practices, thereby advancing the current management of risk in the Re/Insurance industry. This also increases the need for better integration of Public-Private-Academic partnerships and tools to provide better estimates of not only financial loss but also humanitarian and infrastructural losses as well.

Evolution of seismic risk management for insurance over the past 30 years

Science.gov (United States)

Shah, Haresh C.; Dong, Weimin; Stojanovski, Pane; Chen, Alex

2018-01-01

During the past 30 years, there has been spectacular growth in the use of risk analysis and risk management tools developed by engineers in the financial and insurance sectors. The insurance, the reinsurance, and the investment banking sectors have enthusiastically adopted loss estimation tools developed by engineers in developing their business strategies and for managing their financial risks. As a result, insurance/reinsurance strategy has evolved as a major risk mitigation tool in managing catastrophe risk at the individual, corporate, and government level. This is particularly true in developed countries such as US, Western Europe, and Japan. Unfortunately, it has not received the needed attention in developing countries, where such a strategy for risk management is most needed. Fortunately, in the last five years, there has been excellent focus in developing "InsurTech" tools to address the much needed "Insurance for the Masses", especially for the Asian Markets. In the earlier years of catastrophe model development, risk analysts were mainly concerned with risk reduction options through engineering strategies, and relatively little attention was given to financial and economic strategies. Such state-of-affairs still exists in many developing countries. The new developments in the science and technologies of loss estimation due to natural catastrophes have made it possible for financial sectors to model their business strategies such as peril and geographic diversification, premium calculations, reserve strategies, reinsurance contracts, and other underwriting tools. These developments have not only changed the way in which financial sectors assess and manage their risks, but have also changed the domain of opportunities for engineers and scientists. This paper will address the issues related to developing insurance/reinsurance strategies to mitigate catastrophe risks and describe the role catastrophe risk insurance and reinsurance has played in managing

A Hierarchical Agency Model of Deposit Insurance

OpenAIRE

Jonathan Carroll; Shino Takayama

2010-01-01

This paper develops a hierarchical agency model of deposit insurance. The main purpose is to undertake a game theoretic analysis of the consequences of deposit insurance schemes and their effects on monitoring incentives for banks. Using this simple framework, we analyze both risk- independent and risk-dependent premium schemes along with reserve requirement constraints. The results provide policymakers with not only a better understanding of the effects of deposit insurance on welfare and th...

Pricing general insurance with constraints

OpenAIRE

Emms, P.

2006-01-01

Deterministic control theory is used to find the optimal premium strategy for an insurer in order to maximise a given objective. The optimal strategy can be loss-leading depending on the model parameters, which may result in negative premium values. In such circumstances, it is optimal to capture as much of the market as possible before making a profit towards the end of the time horizon. In reality, the amount by which an insurer can lower premiums is constrained by borrowing restrictions an...

PARAMETRIC INSURANCE COVER FOR NATURAL CATASTROPHE RISKS

Directory of Open Access Journals (Sweden)

Serghei Margulescu

2013-11-01

Full Text Available With economic losses of over USD 370 bn caused by 325 catastrophic events, 2011 ranks as the worst ever year in terms of costs to society due to natural catastrophes and man-made disasters. Inthe same time, 2011 is the second most expensive year in the history for the insurance industry, with insured losses from catastrophic events amounting to USD 116 bn. Both the high level of damages and insured losses, as well as the unprecedented gap between the two values, made insurers and reinsurers worldwide to understand that some risks had so far been underestimated and they have to be better integrated in the catastrophes modelling.On the other hand, governments have to protect themselves against the financial impact of natural catastrophes and new forms of cooperation between the public and private sectors can help countries finance disaster risks. Viewed in a country’s wider risk management context, the purchase of parametric insurance cover, which transfers natural catastrophe risk to the private sector using an index- based trigger, is a necessary shift towards a pre-emptive risk management strategy. This kind of approach can be pursued by central governments or at the level of provincial or municipal governments, and a number of case studies included in the publication “Closing the financial gap” by Swiss Re (2011 illustrates how new forms of parametric insurance can help countries finance disaster risks.

76 FR 41138 - Insurer Reporting Requirements; List of Insurers Required To File Reports

Science.gov (United States)

2011-07-13

... passenger motor vehicle insurers that are required to file reports on their motor vehicle theft loss... information about thefts and recoveries of motor vehicles, the rating rules used by the insurer to establish... companies with a fleet of 20 or more vehicles not covered by theft insurance policies issued by insurers of...

MARKETING OF INSURANCE PRODUCTS BY THE NATIONAL INSURANCE COMPANY LIMITED, RAJAPALAYAM

OpenAIRE

Dr. H. Christy Cynthia; Dr. T. Jebasheela; V. Maheswari

2017-01-01

Insurance is a way of reducing uncertainty of occurrence of an event. Insurance is an investment. Its basic purpose is to derive plans to counteract the financial consequences of unfavorable events. Insurance is a social device for eliminating or reducing the cost to society to certain types of risks. Insurance is essentially a co-operative endeavor. It is the function of the insurance to protect the few against the heavy financial impact of anticipated misfortunes by spreading losses among m...

COMPARING OF DEPOSIT MODEL AND LIFE INSURANCE MODEL IN MACEDONIA

Directory of Open Access Journals (Sweden)

TATJANA ATANASOVA-PACHEMSKA

2016-02-01

Full Text Available In conditions of the continuous decline of the interest rates for bank deposits, and at a time when uncertainty about the future is increasing, physical and legal persons have doubts how to secure their future or how and where to invest their funds and thus to “fertilize” and increase their savings. Individuals usually choose to put their savings in the bank for a certain period, and for that period to receive certain interest, or decide to invest their savings in different types of life insurance and thus to "take care" of their life, their future and the future of their families. In mathematics are developed many models that relate to the compounding and the insurance. This paper is a comparison of the deposit model and the model of life insurance

Insurance Salespeople's Attitudes towards Collusion: The Case of Taiwan’s Car Insurance Industry

OpenAIRE

Lu-Ming Tseng; Wen-Pin Su

2014-01-01

Insurance researchers believe that the increase in insurance fraud may be associated with the unethical decisions made by some insurance salespeople. However, to date, research that has empirically investigated the link between insurance salespeople and collusion is scant. Using the car insurance industry in Taiwan as an example, this paper explores the impact of the opportunity to obtain the fraudulent claim and that of the size of actual loss on car insurance salespeople's attitudes towards...

Identify too big to fail banks and capital insurance: An equilibrium approach

Directory of Open Access Journals (Sweden)

Katerina Ivanov

2017-09-01

Full Text Available The objective of this paper is develop a rational expectation equilibrium model of capital insurance to identify too big to fail banks. The main results of this model include (1 too big to fail banks can be identified explicitly by a systemic risk measure, loss betas, of all banks in the entire financial sector; (2 the too big to fail feature can be largely justified by a high level of loss beta; (3 the capital insurance proposal benefits market participants and reduces the systemic risk; (4 the implicit guarantee subsidy can be estimated endogenously; and lastly, (5 the capital insurance proposal can be used to resolve the moral hazard issue. We implement this model and document that the too big to fail issue has been considerably reduced in the pro-crisis period. As a result, the capital insurance proposal could be a useful macro-regulation innovation policy tool

The imagine of establishing China nuclear insurance model

International Nuclear Information System (INIS)

Wu Yimin

2010-01-01

Nuclear power Insurance is one important technique for risk managements of Nuclear power Enterprises. At present, nuclear risk of Nuclear power plants in China has been mainly supported by China Nuclear Insurance pool (hereinafter called CNP) to get coverage from International Nuclear Insurance pool (hereinafter called NIP). CNIP has several advantages to confirm low-cost. Operation, such as large underwriting capacity, international approval and cession, direct writing without agents. However, there are both deficiencies, first, can not get rid of dependence on International markets ; second, in the absence of competition in Self- insurance organizations , tough and opaque premium offer greatly restricted the enthusiasm for Nuclear power plants insuring .But the next ten year is a golden decade for China Nuclear industry development; Nuclear power market is demonstrating tremendous growth potential. With new units put into operation, all kinds of nuclear insurance demand will release when subject-matter insured substantially increase. So, breaking the current bottleneck of China Nuclear Insurance and establishing China Nuclear Insurance (hereinafter called: Nuclear insurance) model adapting to China national conditions will play an important role in Nuclear power development. I made the advice that both domestic nuclear enterprises and general insurance companies initiate a 'Nuclear insurance company'. (authors)

Terrorism Risk Insurance: An Overview

National Research Council Canada - National Science Library

Webel, Baird

2005-01-01

.... Addressing this problem, Congress enacted the Terrorism Risk Insurance Act of 2002 (TRIA) to create a temporary program to share future insured terrorism losses with the property-casualty insurance industry and policyholders...

Risk classification and cream skimming on the deregulated German insurance market

OpenAIRE

Beschorner, Patrick F. E.

2003-01-01

In a two-stage model insurance companies first decide upon risk classification and then compete in prices. I show that the observed heterogeneous behavior of similar firms is compatible with rational behavior. On the deregulated German insurance market individual application of classification schemes induces welfare losses due to cream skimming. Classification costs and pricing above marginal cost can be prevented by common industry-wide loss statistics which already exist to a rudimentary ex...

Identify too big to fail banks and capital insurance: An equilibrium approach

OpenAIRE

Katerina Ivanov

2017-01-01

The objective of this paper is develop a rational expectation equilibrium model of capital insurance to identify too big to fail banks. The main results of this model include (1) too big to fail banks can be identified explicitly by a systemic risk measure, loss betas, of all banks in the entire financial sector; (2) the too big to fail feature can be largely justified by a high level of loss beta; (3) the capital insurance proposal benefits market participants and reduces the systemic risk; ...

77 FR 28343 - Insurer Reporting Requirements; List of Insurers Required To File Reports

Science.gov (United States)

2012-05-14

... vehicle insurers that are required to file reports on their motor vehicle theft loss experiences. An... vehicles not covered by theft insurance policies issued by insurers of motor vehicles, other than any... than any governmental entity) used for rental or lease whose vehicles are not covered by theft...

Is the medical loss ratio a good target measure for regulation in the individual market for health insurance?

Science.gov (United States)

Karaca-Mandic, Pinar; Abraham, Jean M; Simon, Kosali

2015-01-01

Effective January 1, 2011, individual market health insurers must meet a minimum medical loss ratio (MLR) of 80%. This law aims to encourage 'productive' forms of competition by increasing the proportion of premium dollars spent on clinical benefits. To date, very little is known about the performance of firms in the individual health insurance market, including how MLRs are related to insurer and market characteristics. The MLR comprises one component of the price-cost margin, a traditional gauge of market power; the other component is percent of premiums spent on administrative expenses. We use data from the National Association of Insurance Commissioners (2001-2009) to evaluate whether the MLR is a good target measure for regulation by comparing the two components of the price-cost margin between markets that are more competitive versus those that are not, accounting for firm and market characteristics. We find that insurers with monopoly power have lower MLRs. Moreover, we find no evidence suggesting that insurers' administrative expenses are lower in more concentrated insurance markets. Thus, our results are largely consistent with the interpretation that the MLR could serve as a target measure of market power in regulating the individual market for health insurance but with notable limited ability to capture product and firm heterogeneity. Copyright © 2013 John Wiley & Sons, Ltd.

Nuclear insurance and third-party liability. An overview

Energy Technology Data Exchange (ETDEWEB)

Rashid, Nahrul Khair

1986-04-01

As for any other insurance policy, nuclear insurance involves two parties, the insurer and the insured. The coverage provided for can be against any misfortune or peril; material or physical losses, financial losses, third party liability or even the insured himself as in the case of life or personal insurance. In property and liability insurance, the element of certainty does not exist. Accidents cannot be predicted, the insured will only be able to financially recover the present worth of the property insured as evaluated at the time of the accident and to the extent of the damage arising from the event insured against, which in most cases will be lower than the full value of the property.

Global warming and the insurance industry

Science.gov (United States)

Berz, G. A.

1992-06-01

In the last few decades, the international insurance industry has been confronted with a drastic increase in the scope and frequency of great natural disasters. The trend is primarily attributable to the continuing steady growth of the world population and the increasing concentration of people and economic values in urban areas. An additional factor is the global migration of populations and industries into areas like the coastal regions which are particularly exposed to natural hazards. The natural hazards themselves, on the other hand, have not yet shown any significant increase. In addition to the problems the insurance industry has with regard to pricing, capacity and loss reserves, the assessment of insured liabilities, preventive planning and the proper adjustment of catastrophe losses are gaining importance. The present problems will be dramatically aggravated if the greenhouse predictions come true. The increased intensity of all convective processes in the atmosphere will force up the frequency and severity of tropical cyclones, tornados, hailstorms, floods and storm surges in many parts of the world with serious consequences for all types of property insurance. Rates will have to be raised and in certain coastal areas insurance coverage will only be available after considerable restrictions have been imposed, e.g., significant deductibles and/or liability or loss limits. In areas of high insurance density the loss potential of individual catastrophes can reach a level where the national and international insurance industries run into serious capacity problems. Recent disasters showed the disproportionately high participation of reinsurers in extreme disaster losses and the need for more risk transparency if the insurance industry is to fulfill its obligations in an increasingly hostile environment.

Divorce and Women's Risk of Health Insurance Loss

Science.gov (United States)

Lavelle, Bridget; Smock, Pamela J.

2012-01-01

This article bridges the literatures on the economic consequences of divorce for women with that on marital transitions and health by focusing on women's health insurance. Using a monthly calendar of marital status and health insurance coverage from 1,442 women in the Survey of Income and Program Participation, we examine how women's health…

Monte Carlo methods and models in finance and insurance

CERN Document Server

Korn, Ralf; Kroisandt, Gerald

2010-01-01

Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods. It presents recent methods and algorithms, including the multilevel Monte Carlo method, the statistical Romberg method, and the Heath-Platen estimator, as well as recent financial and actuarial models, such as the Cheyette and dynamic mortality models. The authors separately discuss Monte Carlo techniques, stochastic process basics, and the theoretical background and intuition behind financial and actuarial mathematics, before bringing the topics together to apply the Monte Carlo methods to areas of finance and insurance. This allows for the easy identification of standard Monte Carlo tools and for a detailed focus on the main principles of financial and insurance mathematics. The book describes high-level Monte Carlo methods for standard simulation and the simulation of...

A Two-Account Life Insurance Model for Scenario-Based Valuation Including Event Risk

Directory of Open Access Journals (Sweden)

Ninna Reitzel Jensen

2015-06-01

Full Text Available Using a two-account model with event risk, we model life insurance contracts taking into account both guaranteed and non-guaranteed payments in participating life insurance as well as in unit-linked insurance. Here, event risk is used as a generic term for life insurance events, such as death, disability, etc. In our treatment of participating life insurance, we have special focus on the bonus schemes “consolidation” and “additional benefits”, and one goal is to formalize how these work and interact. Another goal is to describe similarities and differences between participating life insurance and unit-linked insurance. By use of a two-account model, we are able to illustrate general concepts without making the model too abstract. To allow for complicated financial markets without dramatically increasing the mathematical complexity, we focus on economic scenarios. We illustrate the use of our model by conducting scenario analysis based on Monte Carlo simulation, but the model applies to scenarios in general and to worst-case and best-estimate scenarios in particular. In addition to easy computations, our model offers a common framework for the valuation of life insurance payments across product types. This enables comparison of participating life insurance products and unit-linked insurance products, thus building a bridge between the two different ways of formalizing life insurance products. Finally, our model distinguishes itself from the existing literature by taking into account the Markov model for the state of the policyholder and, hereby, facilitating event risk.

Insurability of Terrorism Risks

International Nuclear Information System (INIS)

Harbruecker, D.

2006-01-01

Until 2001 losses caused by terrorist attacks have been covered under fire policies worldwide with two exceptions: Spain and UK where major and multiple losses caused by ETA and IRA had led to specific insurance solutions. The September 11, 2001 attacks on the World Trade Centre have changed the world in many aspects. This includes the insurance industry, which was compelled to exclude terrorism from coverage and to offer special solutions for extra premium. Nuclear power plants have been repeatedly called targets for terrorists as their destruction could cause a large catastrophe and more victims than the September 2001 attacks. How does the insurance industry respond? (author)

Estimated value of insurance premium due to Citarum River flood by using Bayesian method

Science.gov (United States)

Sukono; Aisah, I.; Tampubolon, Y. R. H.; Napitupulu, H.; Supian, S.; Subiyanto; Sidi, P.

2018-03-01

Citarum river flood in South Bandung, West Java Indonesia, often happens every year. It causes property damage, producing economic loss. The risk of loss can be mitigated by following the flood insurance program. In this paper, we discussed about the estimated value of insurance premiums due to Citarum river flood by Bayesian method. It is assumed that the risk data for flood losses follows the Pareto distribution with the right fat-tail. The estimation of distribution model parameters is done by using Bayesian method. First, parameter estimation is done with assumption that prior comes from Gamma distribution family, while observation data follow Pareto distribution. Second, flood loss data is simulated based on the probability of damage in each flood affected area. The result of the analysis shows that the estimated premium value of insurance based on pure premium principle is as follows: for the loss value of IDR 629.65 million of premium IDR 338.63 million; for a loss of IDR 584.30 million of its premium IDR 314.24 million; and the loss value of IDR 574.53 million of its premium IDR 308.95 million. The premium value estimator can be used as neither a reference in the decision of reasonable premium determination, so as not to incriminate the insured, nor it result in loss of the insurer.

A model to decompose the performance of supplementary private health insurance markets.

Science.gov (United States)

Leidl, Reiner

2008-09-01

For an individual insurance firm offering supplementary private health insurance, a model is developed to decompose market performance in terms of insurer profits. For the individual contract, the model specifies the conditions under which adverse selection, cream skimming, and moral hazard occur, shows the impact of information on contracting, and the profit contribution. Contracts are determined by comparing willingness to pay for insurance with the individual's risk position, and information on both sides of the market. Finally, performance is aggregated up to the total market. The model provides a framework to explain the attractiveness of supplementary markets to insurers.

Designing the customer (insurers) satisfaction model of the Iranian ...

African Journals Online (AJOL)

Journal of Fundamental and Applied Sciences ... The qualitative modeling process of this research, which was carried out in the grounded theory ... for insurers in the insurance industry of Iran (according to Iranian- Islamic characteristics).

7 CFR 1427.166 - Insurance.

Science.gov (United States)

2010-01-01

... 7 Agriculture 10 2010-01-01 2010-01-01 false Insurance. 1427.166 Section 1427.166 Agriculture... AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS COTTON Recourse Seed Cotton Loans § 1427.166 Insurance. The seed cotton must be insured at the full loan value against loss or damage by fire. ...

A design of mathematical modelling for the mudharabah scheme in shariah insurance

Science.gov (United States)

Cahyandari, R.; Mayaningsih, D.; Sukono

2017-01-01

Indonesian Shariah Insurance Association (AASI) believes that 2014 is the year of Indonesian Shariah insurance, since its growth was above the conventional insurance. In December 2013, 43% growth was recorded for shariah insurance, while the conventional insurance was only hit 20%. This means that shariah insurance has tremendous potential to remain growing in the future. In addition, the growth can be predicted from the number of conventional insurance companies who open sharia division, along with the development of Islamic banking development which automatically demand the role of shariah insurance to protect assets and banking transactions. The development of shariah insurance should be accompanied by the development of premium fund management mechanism, in order to create innovation on shariah insurance products which beneficial for the society. The development of premium fund management model shows a positive progress through the emergence of Mudharabah, Wakala, Hybrid (Mudharabah-Wakala), and Wakala-Waqf. However, ‘model’ term that referred in this paper is regarded as an operational model in form of a scheme of management mechanism. Therefore, this paper will describe a mathematical modeling for premium fund management scheme, especially for Mudharabah concept. Mathematical modeling is required for an analysis process that can be used to predict risks that could be faced by a company in the future, so that the company could take a precautionary policy to minimize those risks.

A Two-Account Life Insurance Model for Scenario-Based Valuation Including Event Risk

DEFF Research Database (Denmark)

Jensen, Ninna Reitzel; Schomacker, Kristian Juul

2015-01-01

Using a two-account model with event risk, we model life insurance contracts taking into account both guaranteed and non-guaranteed payments in participating life insurance as well as in unit-linked insurance. Here, event risk is used as a generic term for life insurance events, such as death......, disability, etc. In our treatment of participating life insurance, we have special focus on the bonus schemes “consolidation” and “additional benefits”, and one goal is to formalize how these work and interact. Another goal is to describe similarities and differences between participating life insurance...... product types. This enables comparison of participating life insurance products and unit-linked insurance products, thus building a bridge between the two different ways of formalizing life insurance products. Finally, our model distinguishes itself from the existing literature by taking into account...

INSURANCE AND THE CORPORATE COST OF CAPITAL

Directory of Open Access Journals (Sweden)

Monika Wieczorek-Kosmala

2012-04-01

Full Text Available The purpose of the paper is to provide some support to the thesis that insurance may reduce the cost of capital in a company by influencing both the cost of capital components and the need for rising capital. The problem is here perceived from two perspectives – the classical concept related to the weighted average cost of capital (WACC and a novel concept related to the risk-based capital structure model with the total average cost of capital (TACC. The paper explains the idea of insurance as a retrospective (post-loss risk financing tool and the risk transfer mechanism upon it. As the risk financing tool insurance reduces the need for the balance-sheet capital in a company and thus the financial distress costs. Also, insurance may reduce the level of operating risk and thus influences the required returns of the capital providers. These observations allow emphasising the impact of insurance on the WACC. However, according to the novel concept of the risk-based capital structure, insurance (as a risk financing tool represents an off-balance sheet capital component. As a consequence, it extends the volume of total capital. The presented conceptual model, based on the TACC concept, indicates that large volume of insurance (the insurance sum and its relatively low cost (the insurance premium gives the possibility to the significant reduction of the cost of capital on average. The concluding remarks discuss some dilemmas over the utility of the TACC concept.

Flood Catastrophe Model for Designing Optimal Flood Insurance Program : Estimating Location-Specific Premiums in the Netherlands

NARCIS (Netherlands)

Ermolieva, T.; Filatova, Tatiana; Ermoliev, Y.; Obersteiner, M.; de Bruijn, K.M.; Jeuken, A.

2017-01-01

As flood risks grow worldwide, a well-designed insurance program engaging various stakeholders becomes a vital instrument in flood risk management. The main challenge concerns the applicability of standard approaches for calculating insurance premiums of rare catastrophic losses. This article

7 CFR 1806.5 - Losses.

Science.gov (United States)

2010-01-01

... 7 Agriculture 12 2010-01-01 2010-01-01 false Losses. 1806.5 Section 1806.5 Agriculture Regulations... INSURANCE Real Property Insurance § 1806.5 Losses. (a) Protecting property. It is the responsibility of the borrower to immediately notify the County Supervisor and insurance company or agent of any loss or damage...

17 CFR 256.924 - Property insurance.

Science.gov (United States)

2010-04-01

... insurance premiums to protect the service company against losses and damages to owned or leased property... covered, and the applicable premiums. Any dividends distributed by mutual insurance companies shall be credited to the accounts to which the insurance premiums were charged. ...

Double generalized linear compound poisson models to insurance claims data

DEFF Research Database (Denmark)

Andersen, Daniel Arnfeldt; Bonat, Wagner Hugo

2017-01-01

This paper describes the specification, estimation and comparison of double generalized linear compound Poisson models based on the likelihood paradigm. The models are motivated by insurance applications, where the distribution of the response variable is composed by a degenerate distribution...... implementation and illustrate the application of double generalized linear compound Poisson models using a data set about car insurances....

Nonlife Insurance Pricing:

Science.gov (United States)

Darooneh, Amir H.

We consider the insurance company as a physical system which is immersed in its environment (the financial market). The insurer company interacts with the market by exchanging the money through the payments for loss claims and receiving the premium. Here, in the equilibrium state, we obtain the premium by using the canonical ensemble theory, and compare it with the Esscher principle, the well-known formula in actuary for premium calculation. We simulate the case of car insurance for quantitative comparison.

Catastrophic risk : Social influences on insurance decisions

NARCIS (Netherlands)

Krawczyk, Michal; Trautmann, Stefan; van de Kuilen, Gijs

We study behavioral patterns of insurance demand for low-probability large-loss events (catastrophic losses). Individual patterns of belief formation and risk attitude that were suggested in the behavioral decisions literature emerge robustly in the current set of insurance choices. However, social

Health Care Analysis for the MCRMC Insurance Cost Model

Science.gov (United States)

2015-06-01

incentive to reduce utilization  Subsidy to leave TRICARE and use other private health insurance  Increases in TRICARE premiums and co-pays  This...analysis develops the estimated cost of providing health care through a premium -based insurance model consistent with an employer-sponsored benefit...State  Income  Plan premium data  Contract cost data 22 May 2015 9 Agenda  Overview  Background  Data  Insurance Cost Estimate Methodology

Financial Performance of Health Insurers: State-Run Versus Federal-Run Exchanges.

Science.gov (United States)

Hall, Mark A; McCue, Michael J; Palazzolo, Jennifer R

2018-06-01

Many insurers incurred financial losses in individual markets for health insurance during 2014, the first year of Affordable Care Act mandated changes. This analysis looks at key financial ratios of insurers to compare profitability in 2014 and 2013, identify factors driving financial performance, and contrast the financial performance of health insurers operating in state-run exchanges versus the federal exchange. Overall, the median loss of sampled insurers was -3.9%, no greater than their loss in 2013. Reduced administrative costs offset increases in medical losses. Insurers performed better in states with state-run exchanges than insurers in states using the federal exchange in 2014. Medical loss ratios are the underlying driver more than administrative costs in the difference in performance between states with federal versus state-run exchanges. Policy makers looking to improve the financial performance of the individual market should focus on features that differentiate the markets associated with state-run versus federal exchanges.

NEWS : A model for the evaluation of non-life insurance companies

NARCIS (Netherlands)

1997-01-01

This paper describes a model which can be used by the Dutch insurance supervisor to determine the priority a nan-life insurer should have for further examination. This model combines a traditional statistical technique (an ordered legit model) with artificial intelligence techniques (a neural

Catastrophe loss modelling of storm-surge flood risk in eastern England.

Science.gov (United States)

Muir Wood, Robert; Drayton, Michael; Berger, Agnete; Burgess, Paul; Wright, Tom

2005-06-15

Probabilistic catastrophe loss modelling techniques, comprising a large stochastic set of potential storm-surge flood events, each assigned an annual rate of occurrence, have been employed for quantifying risk in the coastal flood plain of eastern England. Based on the tracks of the causative extratropical cyclones, historical storm-surge events are categorized into three classes, with distinct windfields and surge geographies. Extreme combinations of "tide with surge" are then generated for an extreme value distribution developed for each class. Fragility curves are used to determine the probability and magnitude of breaching relative to water levels and wave action for each section of sea defence. Based on the time-history of water levels in the surge, and the simulated configuration of breaching, flow is time-stepped through the defences and propagated into the flood plain using a 50 m horizontal-resolution digital elevation model. Based on the values and locations of the building stock in the flood plain, losses are calculated using vulnerability functions linking flood depth and flood velocity to measures of property loss. The outputs from this model for a UK insurance industry portfolio include "loss exceedence probabilities" as well as "average annualized losses", which can be employed for calculating coastal flood risk premiums in each postcode.

Role of nuclear insurance in US

International Nuclear Information System (INIS)

Bardes, C.R.

2000-01-01

Private insurance companies developed means to provide first-tier nuclear coverage to operators of power plants and other nuclear facilities; US Government initially provided second tier. US insurance companies chose 'pooling' technique as means to provide large amounts of insurance capacity by spreading the risk over a number of insurance companies. Classic example of nuclear risk that presents low frequency, high severity loss potential. Insurers usually spread their risk over a large, fairly stable premium base, as with automobile insurance. The American Nuclear Insurers (ANI) and its roles are introduced in this article

Conceptual Model of Relationships among Customer Perceptions of Components of Insurance Service

Directory of Open Access Journals (Sweden)

Sebjan Urban

2015-04-01

Full Text Available The objective of this study was to examine the conceptual model and to study the relationships between customer perceptions of the benefits of sales promotion, quality, adequacy of premium, and adequacy of information about the coverage of insurance services. The research model was tested with structural equation modeling (SEM with a sample of 200 Slovenian users of insurance services. The results indicated that higher perceived benefits of sales promotion were associated with higher perceived quality of insurance services. In addition, higher perceived quality was associated with higher perceived adequacy of information about the coverage and the premium for insurance services. The study also found that higher perceived adequacy of premium was associated with higher perceived adequacy of information about the coverage of insurance services.

Constructing an Urban Population Model for Medical Insurance Scheme Using Microsimulation Techniques

Directory of Open Access Journals (Sweden)

Linping Xiong

2012-01-01

Full Text Available China launched a pilot project of medical insurance reform in 79 cities in 2007 to cover urban nonworking residents. An urban population model was created in this paper for China’s medical insurance scheme using microsimulation model techniques. The model made it clear for the policy makers the population distributions of different groups of people, the potential urban residents entering the medical insurance scheme. The income trends of units of individuals and families were also obtained. These factors are essential in making the challenging policy decisions when considering to balance the long-term financial sustainability of the medical insurance scheme.

Unexpected flood loss correlations across Europe

Science.gov (United States)

Booth, Naomi; Boyd, Jessica

2017-04-01

Floods don't observe country borders, as highlighted by major events across Europe that resulted in heavy economic and insured losses in 1999, 2002, 2009 and 2013. Flood loss correlations between some countries occur along multi-country river systems or between neighbouring nations affected by the same weather systems. However, correlations are not so obvious and whilst flooding in multiple locations across Europe may appear independent, for a re/insurer providing cover across the continent, these unexpected correlations can lead to high loss accumulations. A consistent, continental-scale method that allows quantification and comparison of losses, and identifies correlations in loss between European countries is therefore essential. A probabilistic model for European river flooding was developed that allows estimation of potential losses to pan-European property portfolios. By combining flood hazard and exposure information in a catastrophe modelling platform, we can consider correlations between river basins across Europe rather than being restricted to country boundaries. A key feature of the model is its statistical event set based on extreme value theory. Using historical river flow data, the event set captures spatial and temporal patterns of flooding across Europe and simulates thousands of events representing a full range of possible scenarios. Some known correlations were identified, such as between neighbouring Belgium and Luxembourg where 28% of events that affect either country produce a loss in both. However, our model identified some unexpected correlations including between Austria and Poland, and Poland and France, which are geographically distant. These correlations in flood loss may be missed by traditional methods and are key for re/insurers with risks in multiple countries. The model also identified that 46% of European river flood events affect more than one country. For more extreme events with a return period higher than 200 years, all events

Securitization product design for China's environmental pollution liability insurance.

Science.gov (United States)

Pu, Chengyi; Addai, Bismark; Pan, Xiaojun; Bo, Pangtuo

2017-02-01

The environmental catastrophic accidents in China over the last three decades have triggered implementation of myriad policies by the government to help abate environmental pollution in the country. Consequently, research into environmental pollution liability insurance and how that can stimulate economic growth and the development of financial market in China is worthwhile. This study attempts to design a financial derivative for China's environmental pollution liability insurance to offer strong financial support for significant compensation towards potential catastrophic environmental loss exposures, especially losses from the chemical industry. Assuming the risk-free interest rate is 4%, the market portfolio expected return is 12%; the financial asset beta coefficient is 0.5, by using the capital asset pricing model (CAPM) and cash flow analysis; the principal risk bond yields 9.4%, single-period and two-period prices are 103.85 and 111.58, respectively; the principal partial-risk bond yields 10.09%, single-period and two-period prices are 103.85 and 111.58, respectively; and the principal risk-free bond yields 8.94%, single-period and two-period prices are 107.99 and 115.83, respectively. This loss exposure transfer framework transfers the catastrophic risks of environmental pollution from the traditional insurance and reinsurance markets to the capital market. This strengthens the underwriting capacity of environmental pollution liability insurance companies, mitigates the compensation risks of insurers and reinsurers, and provides a new channel to transfer the risks of environmental pollution.

Health insurance--a challenge in India.

Science.gov (United States)

Presswala, R G

2004-01-01

In India, indemnity health insurance started about 3 decades ago. Mediclaim was the most popular product. Indian insurers and multinational companies have not been enthusiastic about starting health insurance in spite of the availability of a good market because health insurers have historically incurred losses. Losses have been caused by poor administration. Because it is a small portion of their total businesses, insurers have never tried sincerely to improve deficiencies or taken special interest. Hospital management and medical specialists have the spirit of entrepreneurship and are prepared to learn quickly and follow managed care principles, though they are not currently practiced in India. Actuarial data from the health insurance industry is sparse, but data from alternative sources will be helpful for starting managed healthcare. In my opinion, if properly administered, a "limited" managed care product with appropriate precautions and premium levels will be successful and profitable and will compete with present indemnity products in India.

7 CFR 764.108 - General insurance requirements.

Science.gov (United States)

2010-01-01

... covered by hazard insurance if it is readily available (sold by insurance agents in the applicant's normal... for the insurance indemnity payment or as a beneficiary in the mortgagee loss payable clause. (b) Real estate security located in flood or mudslide prone areas must be covered by flood or mudslide insurance...

Ecological strategies shapes the insurance potential of biodiversity

Directory of Open Access Journals (Sweden)

Miguel eMatias

2013-01-01

Full Text Available Biodiversity is thought to provide insurance for ecosystem functioning under heterogeneous environments, however, such insurance potential is under serious threat following unprecedented loss of biodiversity. One of the key mechanism underlying ecological insurance is that niche differentiation allows asynchronous responses to fluctuating environments; although, the role of different ecological strategies (e.g. specialists vs generalists has yet to be formally evaluated. We combine here a simple model and experimental study to illustrate how different specialization-performance strategies shape the biodiversity-insurance relationship. We assembled microcosm of generalists and specialist bacteria over a gradient of salinity and found that, bacterial communities made up of generalists were more productive and more stable over time under environmental fluctuations. We argue that beyond species richness itself, it is essential to incorporate the distribution of ecological strategies across relevant environmental gradients as predictors of the insurance potential of biodiversity in natural ecosystems.

75 FR 1548 - Insurer Reporting Requirements; List of Insurers Required To File Reports

Science.gov (United States)

2010-01-12

... vehicle insurers that are required to file reports on their motor vehicle theft loss experiences. An.... Each insurer's report includes information about thefts and recoveries of motor vehicles, the rating... state and; (3) rental and leasing companies with a fleet of 20 or more vehicles not covered by theft...

Premium Pricing of Liability Insurance Using Random Sum Model

Directory of Open Access Journals (Sweden)

Mujiati Dwi Kartikasari

2017-03-01

Full Text Available Premium pricing is one of important activities in insurance. Nonlife insurance premium is calculated from expected value of historical data claims. The historical data claims are collected so that it forms a sum of independent random number which is called random sum. In premium pricing using random sum, claim frequency distribution and claim severity distribution are combined. The combination of these distributions is called compound distribution. By using liability claim insurance data, we analyze premium pricing using random sum model based on compound distribution

Insuring unit failures in electricity markets

International Nuclear Information System (INIS)

Pineda, S.; Conejo, A.J.; Carrion, M.

2010-01-01

An electric energy producer participates in futures markets in the hope of hedging the risk of trading in the pool. However, this producer is required to supply the energy associated with all its signed forward contracts even if some of its units are forced out due to unexpected failures. In this case, the producer must purchase some of the energy needed to meet its futures market commitments in the pool, which may result in high losses if the pool prices happen to be higher than the forward contract prices. To mitigate these losses, the producer can take out insurance against the forced outages of its units. Using a stochastic programming model, this paper analyzes the convenience of signing an insurance against unit failure by an electric energy producer and its impact on forward contracting decisions. Results from a realistic case study are provided and analyzed.

Markov chain modeling of policyholder behavior in life insurance and pension

DEFF Research Database (Denmark)

Henriksen, Lars Frederik Brandt; Nielsen, Jeppe Woetmann; Steffensen, Mogens

2014-01-01

We calculate reserves regarding expected policyholder behavior. The behavior is modeled to occur incidentally similarly to insurance risk. The focus is on multi-state modelling of insurance risk and behavioral risk in terms of free policy risk and surrender risk. We discuss valuation techniques i...

Risk Management: Getting the Most for Your Insurance Dollars

Science.gov (United States)

Abramson, Paul

1973-01-01

Analyze what insurance is intended to do by going through the risk management process: identify exposures to loss, measure their financial impact on the institution, rationalize the means of controlling exposures, prevent loss, and set up a program to minimize the impact of loss through insurance or other means. (Author)

46 CFR 309.4 - Maximum amount insured.

Science.gov (United States)

2010-10-01

... MARITIME ADMINISTRATION, DEPARTMENT OF TRANSPORTATION EMERGENCY OPERATIONS VALUES FOR WAR RISK INSURANCE... Administration will provide war risk hull insurance for damage to or actual or constructive total loss of the... Administration with respect to insurance attaching during the effective period of such valuation under the...

Defining the key-parameters of insurance product in Islamic insurance

Directory of Open Access Journals (Sweden)

Galim Zaribzyanovich Vakhitov

2015-06-01

Full Text Available Objective to define the range of actuarial calculations in Islamic insurance to study the main differences of the traditional and Islamic insurance to define what changes in calculations entail the above differences. Methods mathematical modeling probabilistic analysis of insurance risks adaptation of methods of actuarial mathematics to the principles of Islamic insurance. Results the mathematical form of the takafulfund models is presented the distribution is analyzed of a random variable of the resulting insurance fund or the insurance company balance in a particular fixed insurance portfolio. Scientific novelty calculation are presented of the optimal tariff rate in takaful. Islamic insurance is an innovative area of insurance industry. Actuarial calculations that meet the Sharia rules are still being developed. The authors set the new tasks of actuarial calculations including the specified changes in the calculation of the optimal tariff rate imposed by the Islamic insurance principles. Practical value the results obtained can be used in the actuarial calculations of the Islamic insurance companies. nbsp

44 CFR 61.17 - Group Flood Insurance Policy.

Science.gov (United States)

2010-10-01

... U.S.C. 5174) of an Individuals and Households Program (IHP) award for flood damage as a result of... flood-damage losses sustained by the insured property in the course of any subsequent flooding event..., DEPARTMENT OF HOMELAND SECURITY INSURANCE AND HAZARD MITIGATION National Flood Insurance Program INSURANCE...

Nuclear insurance fire risk

International Nuclear Information System (INIS)

Dressler, E.G.

2001-01-01

Nuclear facilities operate under the constant risk that radioactive materials could be accidentally released off-site and cause injuries to people or damages to the property of others. Management of this nuclear risk, therefore, is very important to nuclear operators, financial stakeholders and the general public. Operators of these facilities normally retain a portion of this risk and transfer the remainder to others through an insurance mechanism. Since the nuclear loss exposure could be very high, insurers usually assess their risk first-hand by sending insurance engineers to conduct a nuclear insurance inspection. Because a serious fire can greatly increase the probability of an off-site release of radiation, fire safety should be included in the nuclear insurance inspection. This paper reviews essential elements of a facility's fire safety program as a key factor in underwriting nuclear third-party liability insurance. (author)

77 FR 25788 - Request for Information Regarding Stop Loss Insurance

Science.gov (United States)

2012-05-01

... Health Plan Standards and Compliance Assistance, Employee Benefits Security Administration, Room N-5653... employee benefit plans to be insurance companies in order to regulate them under insurance laws.) \\6\\ As a... DEPARTMENT OF THE TREASURY Internal Revenue Service DEPARTMENT OF LABOR Employee Benefits Security...

An Auto Telematics System For Insurance Premium Rating amp Pricing.

Directory of Open Access Journals (Sweden)

Irode Philip Luvuga

2017-12-01

Full Text Available Insurance telematics is a new technology that has been poised to transform and change the way we buy and underwrite insurance by 2030. Insurance Premium Rate is a major variable that determines if a client will buy or take up a policy cover or not. With the current stiff competition being felt in the Industry the local insurance industry continues to suffer big losses due to unhealthy business practice of competitor undercutting among the insurers to attract more clients but exposing the underwriting companies to potential high risks. This in most cases means that the product is totally underpriced to the extent that it would be uneconomical and unsustainable in the long run for the insurance firms. This research outlines a technology defined model that should be used to determine the ideal premium rate payable in the Motor Insurance industry taking into account all the variables and the risk exposure of the policy holder. The system model is able to determine the insurable risk based on the drivers attributes and profile location of the vehicle in relation to risk geo-locations map monitoring the driving parameters of the vehicle by the driver and the driving style. This enable the insurance company determines costs associated with the risk cover based on factual facts which are scientifically determined by the real risks.

Operational risk quantification and modelling within Romanian insurance industry

Directory of Open Access Journals (Sweden)

Tudor Răzvan

2017-07-01

Full Text Available This paper aims at covering and describing the shortcomings of various models used to quantify and model the operational risk within insurance industry with a particular focus on Romanian specific regulation: Norm 6/2015 concerning the operational risk issued by IT systems. While most of the local insurers are focusing on implementing the standard model to compute the Operational Risk solvency capital required, the local regulator has issued a local norm that requires to identify and assess the IT based operational risks from an ISO 27001 perspective. The challenges raised by the correlations assumed in the Standard model are substantially increased by this new regulation that requires only the identification and quantification of the IT operational risks. The solvency capital requirement stipulated by the implementation of Solvency II doesn’t recommend a model or formula on how to integrate the newly identified risks in the Operational Risk capital requirements. In this context we are going to assess the academic and practitioner’s understanding in what concerns: The Frequency-Severity approach, Bayesian estimation techniques, Scenario Analysis and Risk Accounting based on risk units, and how they could support the modelling of operational risk that are IT based. Developing an internal model only for the operational risk capital requirement proved to be, so far, costly and not necessarily beneficial for the local insurers. As the IT component will play a key role in the future of the insurance industry, the result of this analysis will provide a specific approach in operational risk modelling that can be implemented in the context of Solvency II, in a particular situation when (internal or external operational risk databases are scarce or not available.

Policy Design of Multi-Year Crop Insurance Contracts with Partial Payments.

Directory of Open Access Journals (Sweden)

Ying-Erh Chen

Full Text Available Current crop insurance is designed to mitigate monetary fluctuations resulting from yield losses for a specific year. However, yield realization tendency can vary from year to year and may depend on the correlation of yield realizations across years. When the current single-year Yield Protection (YP and Area Risk Protection Insurance (ARPI contracts are extended to multiple periods, actuarially fair premium rate is expected to decrease as poor yield realizations in a year can be offset by another year's better yield realizations. In this study, we first use simulations to demonstrate how significant premium savings are possible when coverage is based on the sum of yields across years rather than on a year-by-year basis. We then describe the design of a multi-year framework of crop insurance and model the insurance using a copula approach. Insurance terms are extended to more than a year and the premium, liability, and indemnity are determined by a multi-year term. Moreover, partial payment is provided at the end of each term to offset the possibility of significant loss in a single term. County-level data obtained from the U.S. Department of Agriculture are used to demonstrate the implementations of the proposed multi-year crop insurance. The proposed multi-year plan would benefit farmers by offering insurance guarantees across years for significantly lower costs.

Catastrophic loss risks: An economic and legal analysis, and a model state statute

International Nuclear Information System (INIS)

Meyer, M.B.

1984-01-01

Catastrophic loss risk producing facilities or activities are defined as those human enterprises which are theoretically capable of producing some credible event which entails extremely large losses of human life, health, or property. Two examples of catastrophic loss risk producing facilities are examined, commercial nuclear power plants and LNG terminals. These two types of facilities appear to produce a type of externality in that they impose uncompensated loss risk costs on neighbors. Further, these two types of facilities may be quite dependent upon the subsidies implicit in these externalities for their continued economic operation. A model state statute is proposed which would use insurance premiums as an unbiased source of probability and outcome estimates in order to eliminate this externality and the resulting subsidy, and as a way of improving the present situation within certain economic limits

Genetic screening, health care and the insurance industry. Should genetic information be made available to insurers?

Science.gov (United States)

Ossa, Diego F; Towse, Adrian

2004-06-01

The potential use of genetic tests in insurance has raised concerns about discrimination and individuals losing access to health care either because of refusals to test for treatable diseases, or because test-positives cannot afford premiums. Governments have so far largely sought to restrict the use of genetic information by insurance companies. To date the number of tests available with significant actuarial value is limited. However, this is likely to change, raising more clearly the question as to whether the social costs of adverse selection outweigh the social costs of individuals not accessing health care for fear of the consequences of test information being used in insurance markets. In this contribution we set out the policy context and model the potential trade-offs between the losses faced by insurers from adverse selection by insurees (which will increase premiums reducing consumer welfare) and the detrimental health effects that may result from persons refusing to undergo tests that could identify treatable health conditions. It argues that the optimal public policy on genetic testing should reflect overall societal benefit, taking account of these trade-offs. Based on our model, the factors that influence the outcome include: the size of and value attached to the health gains from treatment; deterrent effects of a disclosure requirement on testing for health reasons; incidence of the disease; propensity of test-positives to adverse select; policy value adverse selectors buy in a non-disclosure environment; and price elasticity of demand for insurance. Our illustrative model can be used as a benchmark for developing other scenarios or incorporating real data in order to address the impact of different policies on disclosure and requirement to test.

Insurance Sector and Climate Changes in Serbia

Directory of Open Access Journals (Sweden)

Tatjana Piljan

2017-06-01

Full Text Available Climate changes have a strong negative impact on the insurance sector, which is reflected in the slow development of the insurance sector and in the transfer of the greater part of risk on the state and individuals. The difference between collected and paid premiums on the basis of incurred losses is rapidly decreasing, which leads to the fact that insurance market is less and less capable of absorbing the losses associated with climate changes, which then has negative repercussions on the availability of insurance services at an affordable premium. The question of establishing potential long and short-term effects of climate changes on business activities of insurance and reinsurance companies represents a priority and its ultimate objective is to find ways to minimize risks and losses. The problem of climate changes represents an important social problem in today’s civilization. At the same time, it is also an ecological problem, but also economic, political, social, cultural, health, etc. It is a global ecological problem, hence we can speak about global climate changes which affect states, nations, continents regardless of where they are and how responsible they are for creating and sustaining these changes.

Optimum amount of an insurance sum in life insurance

Directory of Open Access Journals (Sweden)

Janez Balkovec

2001-01-01

Full Text Available Personal insurance represents one of the sources of personal social security as a category of personal property. How to get a proper life insurance is a frequently asked question. When insuring material objects (car, house..., the problem is usually not in the amount of the taken insurance. With life insurance (abstract goods, problems as such occur. In this paper, we wish to present a model that, according to the financial situation and the anticipated future, makes it possible to calculate the optimum insurance sum in life insurance.

Nuclear liability insurance: a resume of recent years

International Nuclear Information System (INIS)

Marrone, J.

1975-01-01

The nuclear liability-insurance pools have steadily increased nuclear liability insurance available to the nuclear industry to its present $125 million, which is more than double the $60 million first provided in 1957. The insurance pools also provide an additional $175 million of all-risk property insurance to protect against loss of property at a nuclear facility, for a total of $300 million. This amount of liability and property insurance available for nuclear risks exceeds the coverage the insurance industry has at risk anywhere on a single unit of risk, thus attesting to the confidence in nuclear safety. The extraordinary safety achieved and recorded by the loss experience of the nuclear pools is described. The insurance pools have proposed a change in the Price--Anderson Act which would provide substantial additional sums of nuclear liability insurance to protect the public and which is likely to be the subject of examination by Congress during 1975. The proposal, if implemented, will gradually increase the protection afforded to the public and virtually eliminate the role of government indemnity. (auth)

HOUSING INSURANCE IN ROMANIA

Directory of Open Access Journals (Sweden)

FLOREA IANC MARIA MIRABELA

2014-12-01

Full Text Available Last few years have shown that Romania is not protected from the consequences of climate change. It is clear that type flood events may cause social problems and losses is difficult financing from public resources, especially in the context of the existence of budget constraints. The only viable system to cope with such disasters is insurance system that has the ability to spread risks by reinsurance Natural disasters - earthquakes, floods, landslides - are just some of the risks that may threaten your home. And if natural disasters can seem distant danger, think as fires, floods caused by broken pipes or theft of household goods are trouble can happen anytime to anyone. To protect yourself in such unpleasant situations, whose frequency is unfortunately on the rise, it is necessary to be assured. Thus, you will be able to recover losses in the event that they occur. The house is undoubtedly one of the most important assets we own. Therefore, the Romans began to pay increasingly more attention to domestic insurance products. Since 2011, voluntary home insurance, life insurance with, were the most dynamic segments of the market.

Model of informational system for freight insurance automation based on digital signature

OpenAIRE

Maxim E. SLOBODYANYUK

2009-01-01

In the article considered a model of informational system for freight insurance automation based on digital signature, showed architecture, macro flowchart of information flow in model, components (modules) and their functions. Described calculation method of costs on interactive cargo insurance via proposed system, represented main characteristics and options of existing transport management systems, conceptual cost models.

Model of informational system for freight insurance automation based on digital signature

Directory of Open Access Journals (Sweden)

Maxim E. SLOBODYANYUK

2009-01-01

Full Text Available In the article considered a model of informational system for freight insurance automation based on digital signature, showed architecture, macro flowchart of information flow in model, components (modules and their functions. Described calculation method of costs on interactive cargo insurance via proposed system, represented main characteristics and options of existing transport management systems, conceptual cost models.

Insuring the uninsured: potential impact of Health Care Reform Act of 2010 on trauma centers.

Science.gov (United States)

Shafi, Shahid; Ogola, Gerald; Fleming, Neil; Rayan, Nadine; Kudyakov, Rustam; Barnes, Sunni A; Ballard, David J

2012-11-01

Viability of trauma centers is threatened by cost of care provided to patients without health insurance. The health care reform of 2010 is likely to benefit trauma centers by mandating universal health insurance by 2014. However, the financial benefit of this mandate will depend on the reimbursement provided. The study hypothesis was that compensation for the care of uninsured trauma patients at Medicare or Medicaid rates will lead to continuing losses for trauma centers. Financial data for first hospitalization were obtained from an urban Level I trauma center for 3 years (n = 6,630; 2006-2008) and linked with clinical information. Patients were grouped into five payments categories: commercial (29%), Medicaid (8%), Medicare (20%), workers' compensation (6%), and uninsured (37%). Prediction models for costs and payments were developed for each category using multiple regression models, adjusting for patient demographics, injury characteristics, complications, and survival. These models were used to predict payments that could be expected if uninsured patients were covered by different insurance types. Results are reported as net margin per patient (payments minus total costs) for each insurance type, with 95% confidence intervals, discounted to 2008 dollar values. Patients were typical for an urban trauma center (median age of 43 years, 66% men, 82% blunt, 5% mortality, and median length of stay 4 days). Overall, the trauma center lost $5,655 per patient, totaling $37.5 million over 3 years. These losses were encountered for patients without insurance ($14,343), Medicare ($4,838), and Medicaid ($15,740). Patients with commercial insurance were profitable ($5,295) as were those with workers' compensation ($6,860). Payments for the care of the uninsured at Medicare/Medicaid levels would lead to continued losses at $2,267 to $4,143 per patient. The health care reforms of 2010 would lead to continued losses for trauma centers if uninsured are covered with Medicare

A logistic regression model for Ghana National Health Insurance claims

Directory of Open Access Journals (Sweden)

Samuel Antwi

2013-07-01

Full Text Available In August 2003, the Ghanaian Government made history by implementing the first National Health Insurance System (NHIS in Sub-Saharan Africa. Within three years, over half of the country’s population had voluntarily enrolled into the National Health Insurance Scheme. This study had three objectives: 1 To estimate the risk factors that influences the Ghana national health insurance claims. 2 To estimate the magnitude of each of the risk factors in relation to the Ghana national health insurance claims. In this work, data was collected from the policyholders of the Ghana National Health Insurance Scheme with the help of the National Health Insurance database and the patients’ attendance register of the Koforidua Regional Hospital, from 1st January to 31st December 2011. Quantitative analysis was done using the generalized linear regression (GLR models. The results indicate that risk factors such as sex, age, marital status, distance and length of stay at the hospital were important predictors of health insurance claims. However, it was found that the risk factors; health status, billed charges and income level are not good predictors of national health insurance claim. The outcome of the study shows that sex, age, marital status, distance and length of stay at the hospital are statistically significant in the determination of the Ghana National health insurance premiums since they considerably influence claims. We recommended, among other things that, the National Health Insurance Authority should facilitate the institutionalization of the collection of appropriate data on a continuous basis to help in the determination of future premiums.

Demand analysis of flood insurance by using logistic regression model and genetic algorithm

Science.gov (United States)

Sidi, P.; Mamat, M. B.; Sukono; Supian, S.; Putra, A. S.

2018-03-01

Citarum River floods in the area of South Bandung Indonesia, often resulting damage to some buildings belonging to the people living in the vicinity. One effort to alleviate the risk of building damage is to have flood insurance. The main obstacle is not all people in the Citarum basin decide to buy flood insurance. In this paper, we intend to analyse the decision to buy flood insurance. It is assumed that there are eight variables that influence the decision of purchasing flood assurance, include: income level, education level, house distance with river, building election with road, flood frequency experience, flood prediction, perception on insurance company, and perception towards government effort in handling flood. The analysis was done by using logistic regression model, and to estimate model parameters, it is done with genetic algorithm. The results of the analysis shows that eight variables analysed significantly influence the demand of flood insurance. These results are expected to be considered for insurance companies, to influence the decision of the community to be willing to buy flood insurance.

Visualization tools for insurance risk processes

OpenAIRE

Krzysztof Burnecki; Rafal Weron

2006-01-01

This chapter develops on risk processes which, perhaps, are most suitable for computer visualization of all insurance objects. At the same time, risk processes are basic instruments for any non-life actuary – they are vital for calculating the amount of loss that an insurance company may incur.

Serbian insurance market: Select issues

Directory of Open Access Journals (Sweden)

Obadović Mirjana M.

2010-01-01

Full Text Available Every day insurance companies face a number of risks arising from the insurance industry itself, as well as risks arising from insurance company operations. In this constant fight against risks insurance companies use different models and methods that help them better understand, have a more comprehensive view of, and develop greater tolerance towards risks, in order to reduce their exposure to these risks. The model presented in this paper has been developed for implementation in insurance risk management directly related to insurance company risk, i.e. it is a model that can reliably determine the manner and intensity with which deviations in the initial insurance risk assessment affect insurance company operations, in the form of changes in operational risks and consequently in insurance companies’ business strategies. Additionally we present the implementation of the model in the Serbian market for the period 2005-2010.

ENDOWMENT LIFE INSURANCE

Directory of Open Access Journals (Sweden)

Zeljko Sain

2013-06-01

Full Text Available The aim of the paper that treats the actuarial model of insurance in case of survival or early death is to show the actuarial methods and methodology for creating a model and an appropriate number of sub-models of the most popular form of life insurance in the world. The paper applies the scientific methodology of the deductive character based on scientific, theoretical knowledge and practical realities. Following the basic theoretical model’s determinants, which are at the beginning of the paper, the basic difference between models further in this paper was carried out according to the character of the premium to be paid. Finally, the financial repercussions of some models are presented at examples in insurance companies. The result of this paper is to show the spectrum of possible forms of capital endowment insurance which can be, without major problems, depending on the financial policy of the company, applied in actual practice. The conclusion of this paper shows the theoretical and the practical reality of this model, life insurance, and its quantitative and qualitative guidelines.

Losses in German nuclear power plants

International Nuclear Information System (INIS)

Abinger, R.

1982-01-01

The author illustrates the special features of engineering insurance for nuclear power plants. The shares of the Allianz Versicherungs-AG in the insurance of construction and erection work and in machinery insurance are dealt with. Risk estimation is usually based on statistical analysis of losses. Loss analysis in the conventional sector of nuclear power plants shows typical characteristics of traditional erection and machinery losses. In the nuclear field, however, costs are greatly increased by added safety measures. For this reason, additional cover is allocated and incorporated in premium assessment. Examples from erection and machinery reveal the greater costs involved in handling losses. (orig.) [de

Predicting the Texas Windstorm Insurance Association claim payout of commercial buildings from Hurricane Ike

Science.gov (United States)

Kim, J. M.; Woods, P. K.; Park, Y. J.; Son, K.

2013-08-01

Following growing public awareness of the danger from hurricanes and tremendous demands for analysis of loss, many researchers have conducted studies to develop hurricane damage analysis methods. Although researchers have identified the significant indicators, there currently is no comprehensive research for identifying the relationship among the vulnerabilities, natural disasters, and economic losses associated with individual buildings. To address this lack of research, this study will identify vulnerabilities and hurricane indicators, develop metrics to measure the influence of economic losses from hurricanes, and visualize the spatial distribution of vulnerability to evaluate overall hurricane damage. This paper has utilized the Geographic Information System to facilitate collecting and managing data, and has combined vulnerability factors to assess the financial losses suffered by Texas coastal counties. A multiple linear regression method has been applied to develop hurricane economic damage predicting models. To reflect the pecuniary loss, insured loss payment was used as the dependent variable to predict the actual financial damage. Geographical vulnerability indicators, built environment vulnerability indicators, and hurricane indicators were all used as independent variables. Accordingly, the models and findings may possibly provide vital references for government agencies, emergency planners, and insurance companies hoping to predict hurricane damage.

22 CFR 228.23 - Eligibility of marine insurance.

Science.gov (United States)

2010-04-01

...-Related Services for USAID Financing § 228.23 Eligibility of marine insurance. The eligibility of marine... commodities procured with USAID funds be insured in the United States against marine loss. The decision of any...

Dynamical insurance models with investment: Constrained singular problems for integrodifferential equations

Science.gov (United States)

Belkina, T. A.; Konyukhova, N. B.; Kurochkin, S. V.

2016-01-01

Previous and new results are used to compare two mathematical insurance models with identical insurance company strategies in a financial market, namely, when the entire current surplus or its constant fraction is invested in risky assets (stocks), while the rest of the surplus is invested in a risk-free asset (bank account). Model I is the classical Cramér-Lundberg risk model with an exponential claim size distribution. Model II is a modification of the classical risk model (risk process with stochastic premiums) with exponential distributions of claim and premium sizes. For the survival probability of an insurance company over infinite time (as a function of its initial surplus), there arise singular problems for second-order linear integrodifferential equations (IDEs) defined on a semiinfinite interval and having nonintegrable singularities at zero: model I leads to a singular constrained initial value problem for an IDE with a Volterra integral operator, while II model leads to a more complicated nonlocal constrained problem for an IDE with a non-Volterra integral operator. A brief overview of previous results for these two problems depending on several positive parameters is given, and new results are presented. Additional results are concerned with the formulation, analysis, and numerical study of "degenerate" problems for both models, i.e., problems in which some of the IDE parameters vanish; moreover, passages to the limit with respect to the parameters through which we proceed from the original problems to the degenerate ones are singular for small and/or large argument values. Such problems are of mathematical and practical interest in themselves. Along with insurance models without investment, they describe the case of surplus completely invested in risk-free assets, as well as some noninsurance models of surplus dynamics, for example, charity-type models.

A modeling framework for optimal long-term care insurance purchase decisions in retirement planning.

Science.gov (United States)

Gupta, Aparna; Li, Lepeng

2004-05-01

The level of need and costs of obtaining long-term care (LTC) during retired life require that planning for it is an integral part of retirement planning. In this paper, we divide retirement planning into two phases, pre-retirement and post-retirement. On the basis of four interrelated models for health evolution, wealth evolution, LTC insurance premium and coverage, and LTC cost structure, a framework for optimal LTC insurance purchase decisions in the pre-retirement phase is developed. Optimal decisions are obtained by developing a trade-off between post-retirement LTC costs and LTC insurance premiums and coverage. Two-way branching models are used to model stochastic health events and asset returns. The resulting optimization problem is formulated as a dynamic programming problem. We compare the optimal decision under two insurance purchase scenarios: one assumes that insurance is purchased for good and other assumes it may be purchased, relinquished and re-purchased. Sensitivity analysis is performed for the retirement age.

The Dynamics of Market Insurance, Insurable Assets, and Wealth Accumulation

OpenAIRE

Koeniger, Winfried

2002-01-01

We analyze dynamic interactions between market insurance, the stock of insurable assets and liquid wealth accumulation in a model with non-durable and durable consumption. The stock of the durable is exposed to risk against which households can insure. Since the model does not have a closed form solution we first provide an analytical approximation for the case in which households own abundant liquid wealth. It turns out that precautionary motives still matter because of fluctuations of the p...

Captive insurance: is it the right choice for your insurance exposures?

Science.gov (United States)

Frese, Richard C

2015-12-01

Potential benefits of a captive insurance company include: Broader coverage Improved cash flow and stability. Direct access to reinsurance markets. Tax advantages. Better handling and control of risk management and claims. Potential drawbacks and challenges include: Startup capitalization. Underwriting losses. Administration and commitment.

Catastrophes and Climate Change. Concerns and Possible Countermeasures of the Insurance Industry

Energy Technology Data Exchange (ETDEWEB)

Berz, G.A. [Geoscience Research, Munich Reinsurance Company, D-80791 Munich (Germany)

1999-07-01

In the last few decades, the international insurance industry has been confronted with a drastic increase in the scope and frequency of great natural disasters. The trend is primarily attributable to the continuing steady growth of the world population and the increasing concentration of people and economic values in urban areas. An additional factor is the global migration of populations and industries into areas such as coastal regions, which are particularly exposed to natural hazards. The natural hazards themselves, on the other hand, are showing a change for the worse as many atmospheric extremes are strongly influenced by global warming. In addition to the problems the insurance industry has with regard to pricing, capacity and loss reserves, the assessment of insured liabilities, preventive planning and the proper adjustment of catastrophe losses are gaining importance. The present problems will be dramatically aggravated if the greenhouse predictions come true. The changing probability distributions of many processes in the atmosphere will force up the frequency and severity of heat waves, droughts, bush fires, tropical and extratropical cyclones, tornados, hailstorms, floods and storm surges in many parts of the world with serious consequences for all types of property insurance, apart from the consequences of the stratospheric ozone destruction for health and life insurance. Rates will have to be raised and in certain areas insurance cover will only be available after considerable restrictions have been imposed, as for example significant deductibles and low liability or loss limits. In areas of high insurance density the loss potential of individual catastrophes can reach a level at which the national and international insurance industries will run into serious capacity problems. Recent disasters showed the disproportionately high participation of reinsurers in extreme disaster losses and the need for more risk transparency if the insurance industry is

Catastrophes and Climate Change. Concerns and Possible Countermeasures of the Insurance Industry

International Nuclear Information System (INIS)

Berz, G.A.

1999-01-01

In the last few decades, the international insurance industry has been confronted with a drastic increase in the scope and frequency of great natural disasters. The trend is primarily attributable to the continuing steady growth of the world population and the increasing concentration of people and economic values in urban areas. An additional factor is the global migration of populations and industries into areas such as coastal regions, which are particularly exposed to natural hazards. The natural hazards themselves, on the other hand, are showing a change for the worse as many atmospheric extremes are strongly influenced by global warming. In addition to the problems the insurance industry has with regard to pricing, capacity and loss reserves, the assessment of insured liabilities, preventive planning and the proper adjustment of catastrophe losses are gaining importance. The present problems will be dramatically aggravated if the greenhouse predictions come true. The changing probability distributions of many processes in the atmosphere will force up the frequency and severity of heat waves, droughts, bush fires, tropical and extratropical cyclones, tornados, hailstorms, floods and storm surges in many parts of the world with serious consequences for all types of property insurance, apart from the consequences of the stratospheric ozone destruction for health and life insurance. Rates will have to be raised and in certain areas insurance cover will only be available after considerable restrictions have been imposed, as for example significant deductibles and low liability or loss limits. In areas of high insurance density the loss potential of individual catastrophes can reach a level at which the national and international insurance industries will run into serious capacity problems. Recent disasters showed the disproportionately high participation of reinsurers in extreme disaster losses and the need for more risk transparency if the insurance industry is

What drives insurer participation and premiums in the Federally-Facilitated Marketplace?

Science.gov (United States)

Abraham, Jean Marie; Drake, Coleman; McCullough, Jeffrey S; Simon, Kosali

2017-12-01

We investigate determinants of market entry and premiums within the context of the Affordable Care Act's Marketplaces for individual insurance. Using Bresnahan and Reiss (1991) as the conceptual framework, we study how competition and firm heterogeneity relate to premiums in 36 states using Federally Facilitated or Supported Marketplaces in 2016. Our primary data source is the Qualified Health Plan Landscape File, augmented with market characteristics from the American Community Survey and Area Health Resource File as well as insurer-level information from federal Medical Loss Ratio annual reports. We first estimate a model of insurer entry and then investigate the relationship between a market's predicted number of entrants and insurer-level premiums. Our entry model results suggest that competition is increasing with the number of insurers, most notably as the market size increases from 3 to 4 entrants. Results from the premium regression suggest that each additional entrant is associated with approximately 4% lower premiums, controlling for other factors. An alternative explanation for the relationship between entrants and premiums is that more efficient insurers (who can price lower) are the ones that enter markets with many entrants, and this is reflected in lower premiums. An exploratory analysis of insurers' non-claims costs (a proxy for insurer efficiency) reveals that average costs among entrants are rising slightly with the number of insurers in the market. This pattern does not support the hypothesis that premiums decrease with more entrants because those entrants are more efficient, suggesting instead that the results are being driven mostly by price competition.

BUSINESS PROCESS MANAGEMENT IN INSURANCE CASE OF JADRANSKO INSURANCE COMPANY

OpenAIRE

Sanja Coric; Danijel Bara

2014-01-01

Selling insurance products in conditions of today’s modern technological solutions is faced with numerous challenges. Business processes in insurance as well as the results of these business processes are the real interface to policyholders. Modeling and analysis of business process in insurance ensure organizations to focus on the customer and increase the efficiency and quality of work. Managing critical business processes in every single organization, likewise in insurance is a key factor ...

Developing a Malaysia flood model

Science.gov (United States)

Haseldine, Lucy; Baxter, Stephen; Wheeler, Phil; Thomson, Tina

2014-05-01

Faced with growing exposures in Malaysia, insurers have a need for models to help them assess their exposure to flood losses. The need for an improved management of flood risks has been further highlighted by the 2011 floods in Thailand and recent events in Malaysia. The increasing demand for loss accumulation tools in Malaysia has lead to the development of the first nationwide probabilistic Malaysia flood model, which we present here. The model is multi-peril, including river flooding for thousands of kilometres of river and rainfall-driven surface water flooding in major cities, which may cause losses equivalent to river flood in some high-density urban areas. The underlying hazard maps are based on a 30m digital surface model (DSM) and 1D/2D hydraulic modelling in JFlow and RFlow. Key mitigation schemes such as the SMART tunnel and drainage capacities are also considered in the model. The probabilistic element of the model is driven by a stochastic event set based on rainfall data, hence enabling per-event and annual figures to be calculated for a specific insurance portfolio and a range of return periods. Losses are estimated via depth-damage vulnerability functions which link the insured damage to water depths for different property types in Malaysia. The model provides a unique insight into Malaysian flood risk profiles and provides insurers with return period estimates of flood damage and loss to property portfolios through loss exceedance curve outputs. It has been successfully validated against historic flood events in Malaysia and is now being successfully used by insurance companies in the Malaysian market to obtain reinsurance cover.

24 CFR 236.253 - Premiums-operating loss loans.

Science.gov (United States)

2010-04-01

... Obligations for Mortgage Insurance § 236.253 Premiums—operating loss loans. All of the provisions of § 207.252a of this chapter relating to mortgage insurance premiums on operating loss loans shall apply to... Act the mortgage insurance premiums due in accordance with § 207.252a shall be calculated on the basis...

Rational and mechanics of a peak risk variance swap for a property insurance portfolio

OpenAIRE

Zvezdov, Ivelin

2012-01-01

In this technical report we explore the motivation, structuring and detailed mechanics of a variance swap contract adapted for a property insurance portfolio. We structure, price and test sensitivities of the swap contract using real event historical and modeled natural catastrophe loss data. Our key motivation is to propose an element of financial engineering innovation to insurance portfolio risk management to allow for constructing hedging strategies that may not be possible to achieve w...

Reforming insurance to support workers' rights to compensation.

Science.gov (United States)

McCluskey, Martha T

2012-06-01

The structure and regulation of the insurance system for financing workers' compensation affects the costs of workers' benefits. Using the example of Maine's insurance market restructuring in response to a crisis of the early 1990s, this commentary explores how changes in insurance regulation might better support the goals of workers' compensation. The commentary analyzes how insurance and its regulation should go beyond correct pricing of risks to questions of how to structure incentives for loss control to include workers' interests as well as the interests of employers and insurers. Copyright © 2012 Wiley Periodicals, Inc.

31 CFR 50.53 - Loss certifications.

Science.gov (United States)

2010-07-01

... 31 Money and Finance: Treasury 1 2010-07-01 2010-07-01 false Loss certifications. 50.53 Section 50.53 Money and Finance: Treasury Office of the Secretary of the Treasury TERRORISM RISK INSURANCE... Treasury, that includes basic information about each underlying insured loss. For purposes of this section...

Supplementary insurance as a switching cost for basic health insurance: Empirical results from the Netherlands.

Science.gov (United States)

Willemse-Duijmelinck, Daniëlle M I D; van de Ven, Wynand P M M; Mosca, Ilaria

2017-10-01

Nearly everyone with a supplementary insurance (SI) in the Netherlands takes out the voluntary SI and the mandatory basic insurance (BI) from the same health insurer. Previous studies show that many high-risks perceive SI as a switching cost for BI. Because consumers' current insurer provides them with a guaranteed renewability, SI is a switching cost if insurers apply selective underwriting to new applicants. Several changes in the Dutch health insurance market increased insurers' incentives to counteract adverse selection for SI. Tools to do so are not only selective underwriting, but also risk rating and product differentiation. If all insurers use the latter tools without selective underwriting, SI is not a switching cost for BI. We investigated to what extent insurers used these tools in the periods 2006-2009 and 2014-2015. Only a few insurers applied selective underwriting: in 2015, 86% of insurers used open enrolment for all their SI products, and the other 14% did use open enrolment for their most common SI products. As measured by our indicators, the proportion of insurers applying risk rating or product differentiation did not increase in the periods considered. Due to the fear of reputation loss insurers may have used 'less visible' tools to counteract adverse selection that are indirect forms of risk rating and product differentiation and do not result in switching costs. So, although many high-risks perceive SI as a switching cost, most insurers apply open enrolment for SI. By providing information to high-risks about their switching opportunities, the government could increase consumer choice and thereby insurers' incentives to invest in high-quality care for high-risks. Copyright © 2017 Elsevier B.V. All rights reserved.

Willingness to Pay for Insurance in Denmark

DEFF Research Database (Denmark)

Hansen, Jan V.; Højbjerg Jacobsen, Rasmus; Lau, Morten I.

We estimate the maximum amount that Danish households are willing to pay for three different types of insurance: auto, home and house insurance. We use a unique combination of claims data from the largest private insurance company in Denmark, measures of individual risk attitudes and discount rates...... possible states of nature, where all uncertainty is realized in the initial period and any loss incurred by an accident is subtracted from initial wealth. The estimated willingness to pay is based on annual claims and should thus be considered as an annual premium. Since there is some uncertainty about...... of the insurance claims....

THE IMPACT OF COOPERATION BETWEEN INSURERS AND BANKS ON THE DEVELOPMENT OF THE INSURANCE SYSTEM

OpenAIRE

Nataliya Prikazyuk; Ganna Oliynik

2017-01-01

The article highlights how the cooperation of insurance companies and banks affects the insurance system. Defined the concept of bancassurance, provided a brief description of the main bancassurance models in the context of their impact on the insurance system. Defined the main benefits and risks that accompany cooperation of insurance companies and banks within different models of association. It is noted that despite the generally accepted benefits of cooperation between insurers and banks,...

Rajiv Aarogyasri Community Health Insurance Scheme in Andhra Pradesh, India: a comprehensive analytic view of private public partnership model.

Science.gov (United States)

Reddy, Sunita; Mary, Immaculate

2013-01-01

The Rajiv Aarogyasri Community Health Insurance (RACHI) in Andhra Pradesh (AP) has been very popular social insurance scheme with a private public partnership model to deal with the problems of catastrophic medical expenditures at tertiary level care for the poor households. A brief analysis of the RACHI scheme based on officially available data and media reports has been undertaken from a public health perspective to understand the nature and financing of partnership and the lessons it provides. The analysis of the annual budget spent on the surgeries in private hospitals compared to tertiary public hospitals shows that the current scheme is not sustainable and pose huge burden on the state exchequers. The private hospital association's in AP, further acts as pressure groups to increase the budget or threaten to withdraw services. Thus, profits are privatized and losses are socialized.

Strengthening insurance partnerships in the face of climate change - Insights from an agent-based model of flood insurance in the UK.

Science.gov (United States)

Crick, Florence; Jenkins, Katie; Surminski, Swenja

2018-04-25

Multisectoral partnerships are increasingly cited as a mechanism to deliver and improve disaster risk management. Yet, partnerships are not a panacea and more research is required to understand the role that they can play in disaster risk management and particularly disaster risk reduction. This paper investigates how partnerships can incentivise flood risk reduction by focusing on the UK public-private partnership on flood insurance. Developing the right flood insurance arrangements to incentivise flood risk reduction and adaptation to climate change is a key challenge. In the face of rising flood risks due to climate change and socio-economic development insurance partnerships can no longer afford to focus only on the risk transfer function. However, while expectations of the insurance industry have traditionally been high when it comes to flood risk management, the insurance industry alone will not provide the solution to the challenge of rising risks. The case of flood insurance in the UK illustrates this: even national government and industry together cannot fully address these risks and other actors need to be involved to create strong incentives for risk reduction. Using an agent-based model focused on surface water flood risk in London we analyse how other partners could strengthen the insurance partnership by reducing flood risk and thus helping to maintain affordable insurance premiums. Our findings are relevant for wider discussions on the potential of insurance schemes to incentivise flood risk management and climate adaptation in the UK and also internationally. Copyright © 2018. Published by Elsevier B.V.

APPLICATION OF THE HOWARD'S MODEL ON CONSUMER BEHAVIOR IN BUYING INSURANCE POLICY

OpenAIRE

Martje Paais; Semuel Souhoka

2017-01-01

This research intends to predict factors that drive consumer to buy insurance policy, based on consumer behavior model by Howard. In main variable used is buying decision. In addition, this study also includes information, brand image, confidence and attitude as the control variables. The analysis units are exclusive policy insured in Malang region. The data was collected using questionnaire. The t-test in simple regression models are used to test hypotheses. The research finds about: first, ...

Insurance premiums and insurance coverage of near-poor children.

Science.gov (United States)

Hadley, Jack; Reschovsky, James D; Cunningham, Peter; Kenney, Genevieve; Dubay, Lisa

States increasingly are using premiums for near-poor children in their public insurance programs (Medicaid/SCHIP) to limit private insurance crowd-out and constrain program costs. Using national data from four rounds of the Community Tracking Study Household Surveys spanning the seven years from 1996 to 2003, this study estimates a multinomial logistic regression model examining how public and private insurance premiums affect insurance coverage outcomes (Medicaid/SCHIP coverage, private coverage, and no coverage). Higher public premiums are significantly associated with a lower probability of public coverage and higher probabilities of private coverage and uninsurance; higher private premiums are significantly related to a lower probability of private coverage and higher probabilities of public coverage and uninsurance. The results imply that uninsurance rates will rise if both public and private premiums increase, and suggest that states that impose or increase public insurance premiums for near-poor children will succeed in discouraging crowd-out of private insurance, but at the expense of higher rates of uninsurance. Sustained increases in private insurance premiums will continue to create enrollment pressures on state insurance programs for children.

Building financial and insurance resilience in the context of climate change

Directory of Open Access Journals (Sweden)

Miškić Miroslav

2017-01-01

Full Text Available The key challenge for individuals, businesses and governments would be the building financial and insurance resilience in changing climate. It becomes important issue for the financial management to create financial protection and insurance means to manage the financial losses, reducing the economic impact of disaster events, and supporting better recovery. In accordance with that the Paper provides an overview of the field and desk research of potential income implications of climate change for the financial management of disaster risks and losses. Desk research is based on Serbian case and its experience with the 2014 floods. Key findings of the field research provided in Serbia in 2016 on managing the risk of natural disasters, floods, fires, earthquakes as a part of organizational risk in 92 manufacturing firms, banks and insurance companies is also provided in the Paper. The methods used are: statistical description, X2 test and liner regression models. The results of both researches on risk management of floods showed that: companies calculate the impact of this risk to their year revenues as small, also a non-strategic approach of the Serbian government can be seen, as a financial gap of 65% in covering the losses. The research results pointed also to low awareness of the problem on the corporate and national level. The contribution of the Paper is to support further development of country and local plans for more effectively reducing the economic disruption of disaster events and policy approaches to supporting the penetration of disaster finance and insurance coverage and the capacity of insurance markets to absorb these risks. Also, to support the improvement of the culture of risk management of business sector in this field.

Verification of flood damage modelling using insurance data

DEFF Research Database (Denmark)

Zhou, Qianqian; Petersen, Toke E. P.; Thorsen, Bo J.

2012-01-01

This paper presents the results of an analysis using insurance data for damage description and risk model verification, based on data from a Danish case. The results show that simple, local statistics of rainfall are not able to describe the variation in individual cost per claim, but are, howeve...

Verification of flood damage modelling using insurance data

DEFF Research Database (Denmark)

Zhou, Qianqian; Panduro, T. E.; Thorsen, B. J.

2013-01-01

This paper presents the results of an analysis using insurance data for damage description and risk model verification, based on data from a Danish case. The results show that simple, local statistics of rainfall are not able to describe the variation in individual cost per claim, but are, howeve...

Vaccines as Epidemic Insurance.

Science.gov (United States)

Pauly, Mark V

2017-10-27

This paper explores the relationship between the research for and development of vaccines against global pandemics and insurance. It shows that development in advance of pandemics of a portfolio of effective and government-approved vaccines does have some insurance properties: it requires incurring costs that are certain (the costs of discovering, developing, and testing vaccines) in return for protection against large losses (if a pandemic treatable with one of the vaccines occurs) but also with the possibility of no benefit (from a vaccine against a disease that never reaches the pandemic stage). It then argues that insurance against the latter event might usefully be offered to organizations developing vaccines, and explores the benefits of insurance payments to or on behalf of countries who suffer from unpredictable pandemics. These ideas are then related to recent government, industry, and philanthropic efforts to develop better policies to make vaccines against pandemics available on a timely basis.

Vaccines as Epidemic Insurance

Directory of Open Access Journals (Sweden)

Mark V. Pauly

2017-10-01

Full Text Available This paper explores the relationship between the research for and development of vaccines against global pandemics and insurance. It shows that development in advance of pandemics of a portfolio of effective and government-approved vaccines does have some insurance properties: it requires incurring costs that are certain (the costs of discovering, developing, and testing vaccines in return for protection against large losses (if a pandemic treatable with one of the vaccines occurs but also with the possibility of no benefit (from a vaccine against a disease that never reaches the pandemic stage. It then argues that insurance against the latter event might usefully be offered to organizations developing vaccines, and explores the benefits of insurance payments to or on behalf of countries who suffer from unpredictable pandemics. These ideas are then related to recent government, industry, and philanthropic efforts to develop better policies to make vaccines against pandemics available on a timely basis.

Individual loss reserving with the Multivariate Skew Normal distribution

NARCIS (Netherlands)

Pigeon, M.; Antonio, K.; Denuit, M.

2012-01-01

The evaluation of future cash flows and solvency capital recently gained importance in general insurance. To assist in this process, our paper proposes a novel loss reserving model, designed for individual claims in discrete time. We model the occurrence of claims, as well as their reporting delay,

Individual loss reserving with the multivariate skew normal framework

NARCIS (Netherlands)

Pigeon, M.; Antonio, K.; Denuit, M.

2013-01-01

The evaluation of future cash flows and solvency capital recently gained importance in general insurance. To assist in this process, our paper proposes a novel loss reserving model, designed for individual claims developing in discrete time. We model the occurrence of claims, as well as their

Analysis on the Intention to Purchase Weather Index Insurance and Development Agenda

Science.gov (United States)

Park, K.; Jung, J.; Shin, J.; Kim, B.

2013-12-01

The purpose of this paper is to analyze how to revitalize weather insurance. Current state of weather insurance market is firstly described, and the necessity of insurance products and intention to purchase are analyzed based on the recognition survey regarding weather insurance focusing on the weather index insurance. The result of intention to purchase insurance products were examined with Ordered Logit Analysis (OLA), indicating that the amount of damages, the impacts of weather change, and experience of damage and loss have a positive relationship with the intention to purchase weather insurance. In addition, recognition of the amount of acceptable payment for insurance (i.e. willingness to pay) was analyzed for both the group who wants to purchase insurance (Group 1) and the group who does not want to (Group 2). The results demonstrate that Group 1 shows statistically higher significance than Group 2. Based on the results above with the increase in abnormal weather phenomena, we could predict that the amount of damages and losses will be rapidly increasing. The portion of weather insurance market is also expected to consistently develop and expand. This study could be a cornerstone for drawing a plan to revitalize weather insurance.

Small employers and self-insured health benefits: too small to succeed?

Science.gov (United States)

Yee, Tracy; Christianson, Jon B; Ginsburg, Paul B

2012-07-01

Over the past decade, large employers increasingly have bypassed traditional health insurance for their workers, opting instead to assume the financial risk of enrollees' medical care through self-insurance. Because self-insurance arrangements may offer advantages--such as lower costs, exemption from most state insurance regulation and greater flexibility in benefit design--they are especially attractive to large firms with enough employees to spread risk adequately to avoid the financial fallout from potentially catastrophic medical costs of some employees. Recently, with rising health care costs and changing market dynamics, more small firms--100 or fewer workers--are interested in self-insuring health benefits, according to a new qualitative study from the Center for Studying Health System Change (HSC). Self-insured firms typically use a third-party administrator (TPA) to process medical claims and provide access to provider networks. Firms also often purchase stop-loss insurance to cover medical costs exceeding a predefined amount. Increasingly competitive markets for TPA services and stop-loss insurance are making self-insurance attractive to more employers. The 2010 national health reform law imposes new requirements and taxes on health insurance that may spur more small firms to consider self-insurance. In turn, if more small firms opt to self-insure, certain health reform goals, such as strengthening consumer protections and making the small-group health insurance market more viable, may be undermined. Specifically, adverse selection--attracting sicker-than-average people--is a potential issue for the insurance exchanges created by reform.

Adverse Selection and Inertia in Health Insurance Markets: When Nudging Hurts.

Science.gov (United States)

Handel, Benjamin R

2013-12-01

This paper investigates consumer inertia in health insurance markets, where adverse selection is a potential concern. We leverage a major change to insurance provision that occurred at a large firm to identify substantial inertia, and develop and estimate a choice model that also quantifies risk preferences and ex ante health risk. We use these estimates to study the impact of policies that nudge consumers toward better decisions by reducing inertia. When aggregated, these improved individual-level choices substantially exacerbate adverse selection in our setting, leading to an overall reduction in welfare that doubles the existing welfare loss from adverse selection.

Pricing of premiums for equity-linked life insurance based on joint mortality models

Science.gov (United States)

Riaman; Parmikanti, K.; Irianingsih, I.; Supian, S.

2018-03-01

Life insurance equity - linked is a financial product that not only offers protection, but also investment. The calculation of equity-linked life insurance premiums generally uses mortality tables. Because of advances in medical technology and reduced birth rates, it appears that the use of mortality tables is less relevant in the calculation of premiums. To overcome this problem, we use a combination mortality model which in this study is determined based on Indonesian Mortality table 2011 to determine the chances of death and survival. In this research, we use the Combined Mortality Model of the Weibull, Inverse-Weibull, and Gompertz Mortality Model. After determining the Combined Mortality Model, simulators calculate the value of the claim to be given and the premium price numerically. By calculating equity-linked life insurance premiums well, it is expected that no party will be disadvantaged due to the inaccuracy of the calculation result

Insurance choice and tax-preferred health savings accounts.

Science.gov (United States)

Cardon, James H; Showalter, Mark H

2007-03-01

We develop an infinite horizon utility maximization model of the interaction between insurance choice and tax-preferred health savings accounts. The model can be used to examine a wide range of policy options, including flexible spending accounts, health savings accounts, and health reimbursement accounts. We also develop a 2-period model to simulate various implications of the model. Key results from the simulation analysis include the following: (1) with no adverse selection, use of unrestricted health savings accounts leads to modest welfare gains, after accounting for the tax revenue loss; (2) with adverse selection and an initial pooling equilibrium comprised of "sick" and "healthy" consumers, introducing HSAs can, but does not necessarily, lead to a new pooling equilibrium. The new equilibrium results in a higher coinsurance rate, an increase in expected utility for healthy consumers, and a decrease in expected utility for sick consumers; (3) with adverse selection and a separating equilibrium, both sick and healthy consumers are better off with a health savings account; (4) efficiency gains are possible when insurance contracts are explicitly linked to tax-preferred health savings accounts.

Survey of nuclear insurance - Parts 1 and 2

International Nuclear Information System (INIS)

Francis, H.W.

1979-01-01

The use of nuclear energy developed comparatively suddenly and introduced hazards with which insurers were quite unfamiliar as compared to conventional hazards such as fire or explosion. In addition to the possibility of severe contamination to property and serious injury to persons on a large scale, radiation damage may become apparent long after actual exposure to radiation. All these factors made nuclear insurance mandatory. In order to marshall the large insurance capacity needed, 23 nuclear insurance pools similar to the British Insurance Committee, were set up and are operating in some 22 countries. The insurance covers written by nuclear pools are related to material damage, liability, losses, machinery breakdown contingent liabilities of suppliers of goods and services and finally transport risks and nuclear-propelled ships. (NEA) [fr

Modelling economic losses of historic and present-day high-impact winter storms in Switzerland

Science.gov (United States)

Welker, Christoph; Martius, Olivia; Stucki, Peter; Bresch, David; Dierer, Silke; Brönnimann, Stefan

2015-04-01

simulate the wind field and related economic impact of both historic and present-day high-impact winter storms in Switzerland since end of the 19th century. Our technique involves the dynamical downscaling of the 20CR to 3 km horizontal resolution using the numerical Weather Research and Forecasting model and the subsequent loss simulation using an open-source impact model. This impact model estimates, for modern economic and social conditions, storm-related economic losses at municipality level, and thus allows a numerical simulation of the impact from both historic and present-day severe winter storms in Switzerland on a relatively fine spatial scale. In this study, we apply the modelling chain to a storm sample of almost 90 high-impact winter storms in Switzerland since 1871, and we are thus able to make a statement of the typical wind and loss patterns of hazardous windstorms in Switzerland. To evaluate our modelling chain, we compare simulated storm losses with insurance loss data for the present-day windstorms "Lothar" and "Joachim" in December 1999 and December 2011, respectively. Our study further includes a range of sensitivity experiments and a discussion of the main sources of uncertainty.

Health Insurance without Single Crossing

DEFF Research Database (Denmark)

Boone, Jan; Schottmüller, Christoph

2017-01-01

Standard insurance models predict that people with high risks have high insurance coverage. It is empirically documented that people with high income have lower health risks and are better insured. We show that income differences between risk types lead to a violation of single crossing...... in an insurance model where people choose treatment intensity. We analyse different market structures and show the following: If insurers have market power, the violation of single crossing caused by income differences and endogenous treatment choice can explain the empirically observed outcome. Our results do...

The Valuation of Insurance under Uncertainty: Does Information about Probability Matter?

OpenAIRE

Carmela Di Mauro; Anna Maffioletti

2001-01-01

In a laboratory experiment we test the hypothesis that consumers' valuation of insurance is sensitive to the amount of information available on the probability of a potential loss. In order to test this hypothesis we simulate a market in which we elicit individuals' willingness to pay to insure against a loss characterised either by known or else vague probabilities. We use two distinct treatments by providing subjects with different information over the vague probabilities of loss. In genera...

Managing water utility financial risks through third-party index insurance contracts

Science.gov (United States)

Zeff, Harrison B.; Characklis, Gregory W.

2013-08-01

As developing new supply capacity has become increasingly expensive and difficult to permit (i.e., regulatory approval), utilities have become more reliant on temporary demand management programs, such as outdoor water use restrictions, for ensuring reliability during drought. However, a significant fraction of water utility income is often derived from the volumetric sale of water, and such restrictions can lead to substantial revenue losses. Given that many utilities set prices at levels commensurate with recovering costs, these revenue losses can leave them financially vulnerable to budgetary shortfalls. This work explores approaches for mitigating drought-related revenue losses through the use of third-party financial insurance contracts based on streamflow indices. Two different types of contracts are developed, and their efficacy is compared against two more traditional forms of financial hedging used by water utilities: Drought surcharges and contingency funds (i.e., self-insurance). Strategies involving each of these approaches, as well as their use in combination, are applied under conditions facing the water utility serving Durham, North Carolina. A multireservoir model provides information on the scale and timing of droughts, and the financial effects of these events are simulated using detailed data derived from utility billing records. Results suggest that third-party index insurance contracts, either independently or in combination with more traditional hedging tools, can provide an effective means of reducing a utility's financial vulnerability to drought.

Using Probabilistic Models to Appraise and Decide on Sovereign Disaster Risk Financing and Insurance

OpenAIRE

Ley-Borrás, Roberto; Fox, Benjamin D.

2015-01-01

This paper presents an overview of the structure of probabilistic catastrophe risk models, discusses their importance for appraising sovereign disaster risk financing and insurance instruments and strategy, and puts forward a model and a process for improving decision making on the linked disaster risk management strategy and sovereign disaster risk financing and insurance strategy. The pa...

Tools used by the insurance industry to assess risk from hydroclimatic extremes

Science.gov (United States)

Higgs, Stephanie; McMullan, Caroline

2016-04-01

Probabilistic catastrophe models are widely used within the insurance industry to assess and price the risk of natural hazards to individual residences through to portfolios of millions of properties. Over the relatively short period that catastrophe models have been available (almost 30 years), the insurance industry has built up a financial resilience to key natural hazards in certain areas (e.g. US tropical cyclone, European extra-tropical cyclone and flood). However, due the rapidly expanding global population and increase in wealth, together with uncertainties in the behaviour of meteorological phenomena introduced by climate change, the domain in which natural hazards impact society is growing. As a result, the insurance industry faces new challenges in assessing the risk and uncertainty from natural hazards. As a catastrophe modelling company, AIR Worldwide has a toolbox of options available to help the insurance industry assess extreme climatic events and their associated uncertainty. Here we discuss several of these tools: from helping analysts understand how uncertainty is inherently built in to probabilistic catastrophe models, to understanding alternative stochastic catalogs for tropical cyclone based on climate conditioning. Through the use of stochastic extreme disaster events such as those provided through AIR's catalogs or through the Lloyds of London marketplace (RDS's) to provide useful benchmarks for the loss probability exceedence and tail-at-risk metrics outputted from catastrophe models; to the visualisation of 1000+ year event footprints and hazard intensity maps. Ultimately the increased transparency of catastrophe models and flexibility of a software platform that allows for customisation of modelled and non-modelled risks will drive a greater understanding of extreme hydroclimatic events within the insurance industry.

Alternative health insurance schemes

DEFF Research Database (Denmark)

Keiding, Hans; Hansen, Bodil O.

2002-01-01

In this paper, we present a simple model of health insurance with asymmetric information, where we compare two alternative ways of organizing the insurance market. Either as a competitive insurance market, where some risks remain uninsured, or as a compulsory scheme, where however, the level...... competitive insurance; this situation turns out to be at least as good as either of the alternatives...

How Have Health Insurers Performed Financially Under the ACA' Market Rules?

Science.gov (United States)

McCue, Michael J; Hall, Mark A

2017-10-01

The Affordable Care Act (ACA) transformed the market for individual health insurance, so it is not surprising that insurers' transition was not entirely smooth. Insurers, with no previous experience under these market conditions, were uncertain how to price their products. As a result, they incurred significant losses. Based on this experience, some insurers have decided to leave the ACA’s subsidized market, although others appear to be thriving. Examine the financial performance of health insurers selling through the ACA's marketplace exchanges in 2015--the market’s most difficult year to date. Analysis of financial data for 2015 reported by insurers from 48 states and D.C. to the Centers for Medicare and Medicaid Services. Although health insurers were profitable across all lines of business, they suffered a 10 percent loss in 2015 on their health plans sold through the ACA's exchanges. The top quarter of the ACA exchange market was comfortably profitable, while the bottom quarter did much worse than the ACA market average. This indicates that some insurers were able to adapt to the ACA's new market rules much better than others, suggesting the ACA's new market structure is sustainable, if supported properly by administrative policy.

Climate Risk and Production Shocks: Using Index Insurance to Link Climate Science to Policy for Sustainable Development

Science.gov (United States)

McCarney, G. R.; Osgood, D. E.

2011-12-01

Smallholder farmers in developing countries are often severely impacted by droughts and other climate related events. However, agricultural insurance programs are largely unavailable in lower-income countries because of limitations in traditional loss-based indemnity insurance. As a result, it is often the case that farmers who are the most vulnerable to climate shocks lack access to the insurance tools that could help to reduce their production risk. Index insurance, a recent financial innovation, has the potential to increase access to insurance for smallholder farmers (Barrett et al. 2007). Index insurance allows farmers to insure their production risk based on a weather index (such as total seasonal rainfall) rather than on crop yields. The use of a weather index addresses many of the perverse incentive problems found in traditional crop insurance, and greatly reduces the costs of insuring smallholder farmers. The trade-off in index insurance, however, is limited accuracy in calibrating payouts to actual losses, a phenomenon commonly known as basis risk. While index insurance has promise as a risk-smoothing instrument, many argue it has greater promise as a mechanism for improving access to credit for smallholder farmers in developing countries (e.g. Barnett, Barrett & Skees 2008). In these areas, farmers are often fully exposed to climate shocks, which greatly affect their willingness to borrow. By smoothing the uncertainty in climate shocks, insurance may allow farmers to take credit for productive risks. There has been much discussion as to the optimal strategy for combining index insurance with credit, specifically if the financial institutions or the individual farmers themselves should hold the insurance policy. Many existing insurance implementations insure the farmer directly. However, since a weather index is a proxy for yield loss based on regional data, there is basis risk due to uninsured idiosyncratic differences between farmers. As a response to

Nuclear Insurance Pools: Worldwide Practice and Development

International Nuclear Information System (INIS)

Reitsma, S. M. S.

1998-01-01

The development of nuclear installations to produce electricity led to the establishment of Nuclear Insurance Pools and the introduction of international Conventions on Third Party Liability. Nuclear Pools offer both Third Party Liability insurance, reflecting the Conventions' principles, and other insurance products. They are market-wide, providing a facility for participation by insurers who could not otherwise write the insurance for the particularly sensitive nuclear risk. All acceptances are for the net retention of each Member without recourse to individual reinsurance protection. Common account reinsurance is arranged with other Nuclear Pools all over the world. Thus, a transparency is created, which ensures the highest degree of reinsurance security and imposes a known finite limit to each participating insurer's commitment. Therefore, Pool-members are prepared to make a greater commitment to nuclear risks than would be case where they felt uncertain as regards their total exposure following a significant loss. (author)

Actuarial modeling of cost of voluntary pension insurance of the population of the region

Directory of Open Access Journals (Sweden)

Mikhailova Svetlana Sergeevna

2013-06-01

Full Text Available In article approach to determination of net value of the contract of pension insurance for the man's and female population, considering regional demographic features is offered. Results of actuarial calculation of the size pure net - rates of individual pension insurance are presented, "sensitivity" of cost of insurance is defined by methods of statistical modeling to key parameters of a pension product for the region population.

Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty

Directory of Open Access Journals (Sweden)

Xiangbo Meng

2016-01-01

Full Text Available In this paper, we study optimal investment-reinsurance strategies for an insurer who faces model uncertainty. The insurer is allowed to acquire new business and invest into a financial market which consists of one risk-free asset and one risky asset whose price process is modeled by a Geometric Brownian motion. Minimizing the expected quadratic distance of the terminal wealth to a given benchmark under the “worst-case” scenario, we obtain the closed-form expressions of optimal strategies and the corresponding value function by solving the Hamilton-Jacobi-Bellman (HJB equation. Numerical examples are presented to show the impact of model parameters on the optimal strategies.

FEATURES OF PROFESSIONAL LIABILITY INSURANCE REALIZATION IN UKRAINE

Directory of Open Access Journals (Sweden)

О. Lobova

2015-04-01

Full Text Available The signs of professional liability insurance are generalized in the article. It is the presence of losses, additional costs that require mechanisms and sources of compensation. The essence of the professional responsibility concept is determined and it is characterized like specialists material liability of different professions, lack of qualifications, errors and omissions are due to carelessness or negligence may cause harm to the client The main elements of the professional liability insurance contract, such as insurance objects, insurance compensation, insurance risks are described. The types of professional liability insurance are characterized. There are such types of the professional liability insurance: professional liability insurance of architect, lawyer, auditor (accountant, appraiser, notary, customs broker and doctor. It is determined, that the most widespread in Ukraine is the professional liability insurance of lawyer and customs broker because the policy is purchased for the sole purpose to obtain a license. The size of insurance rates in the provision of professional liability insurance in different insurance companies of Ukraine are analyzed. It is established that insurance rate depends on the type of professional activity, scope of service, qualifications and the other factors. The development impulse can only provide judicial and legal definition of professions wide list that are subject under mandatory professional liability insurance.

Insurance: Accounting, Regulation, Actuarial Science

OpenAIRE

Alain Tosetti; Thomas Behar; Michel Fromenteau; Stéphane Ménart

2001-01-01

We shall be examining the following topics: (i) basic frameworks for accounting and for statutory insurance rules; and (ii) actuarial principles of insurance; for both life and nonlife (i.e. casualty and property) insurance.Section 1 introduces insurance terminology, regarding what an operation must include in order to be an insurance operation (the legal, statistical, financial or economic aspects), and introduces the accounting and regulation frameworks and the two actuarial models of insur...

Automated flood extent identification using WorldView imagery for the insurance industry

Science.gov (United States)

Geller, Christina

2017-10-01

Flooding is the most common and costly natural disaster around the world, causing the loss of human life and billions in economic and insured losses each year. In 2016, pluvial and fluvial floods caused an estimated 5.69 billion USD in losses worldwide with the most severe events occurring in Germany, France, China, and the United States. While catastrophe modeling has begun to help bridge the knowledge gap about the risk of fluvial flooding, understanding the extent of a flood - pluvial and fluvial - in near real-time allows insurance companies around the world to quantify the loss of property that their clients face during a flooding event and proactively respond. To develop this real-time, global analysis of flooded areas and the associated losses, a new methodology utilizing optical multi-spectral imagery from DigitalGlobe (DGI) WorldView satellite suite is proposed for the extraction of pluvial and fluvial flood extents. This methodology involves identifying flooded areas visible to the sensor, filling in the gaps left by the built environment (i.e. buildings, trees) with a nearest neighbor calculation, and comparing the footprint against an Industry Exposure Database (IE) to calculate a loss estimate. Full-automation of the methodology allows production of flood extents and associated losses anywhere around the world as required. The methodology has been tested and proven effective for the 2016 flood in Louisiana, USA.

Claims settlement in insurance contracts from a consumer protection perspective in Cameroon

Directory of Open Access Journals (Sweden)

Comfort Fuah Kwanga

2017-10-01

Full Text Available Everyone in the society is faced with the possibility of one or more hazards that are part of life will sooner or later befall him and may occasion some loss. This misfortune is uncertain as to the time and period when it will occur and this amongst others include: fire outbreak, accident, and even death. This necessitates the need for people to go for insurance policies which suit their various needs in order to permit compensation in case of loss. Most consumers of insurance products are “short changed” in the process because very few take the trouble to read through their insurance policies in order to ascertain and understand the terms and conditions. The result is that most often when a claim arises and it is discovered that the loss is not covered by the terms of the insurance contract, there is the tendency of blaming the insurance companies. This paper posits that: there are of course some “bad eggs” in the industry who manipulate consumers. However, the paper holds that this unpleasant quagmire is often due to lack of understanding of the terms of insurance contracts in general and consumer apathy in particular. The essence of this study is to re-iterate the need to communicate the rules of the insurance game, thereby minimizing some of the misunderstanding and problems faced by consumers.

From Risk to Opportunity. How Insurers Can Proactively and Profitably Manage Climate Change

International Nuclear Information System (INIS)

Mills, E.; Lecomte, E.

2006-08-01

Last year's USD 45 billion of insured losses from Hurricane Katrina was only the latest reminder of why investors and consumers are concerned about the impacts of climate change on the insurance industry. Twelve months after the devastating storm hit New Orleans, insurers and their shareholders are still feeling the ripples. Record insured losses, rating downgrades, coverage pullbacks and class-action lawsuits are just a few of the reverberations that have been felt across the industry. Meanwhile, consumers are feeling the combined sting of price shocks and reduced availability. So serious is the issue that 20 leading investors, representing over $800 billion in assets, called on the nation's largest insurance companies to disclose their financial exposure from climate change and steps they are taking to reduce those financial impacts. But, while most of the attention is focused on the growing risks, climate change also creates vast business opportunities to be part of the solution to global warming. Just as the industry has historically asserted its leadership to minimize risks from building fires and earthquakes, insurers have a huge opportunity today to develop creative loss-prevention products and services that will reduce climate-related losses for consumers, governments and insurers, while trimming the emissions causing global warming. This report focuses on the encouraging progress made by insurers to develop these new products and services. It identifies more than 190 concrete examples available, or soon-to-be-available, from dozens of insurance providers in 16 countries. In addition to benefiting insurers' core business and investment activities, these programs afford insurers the opportunity to differentiate their products from their competitors, while also enhancing their reputation with customers who are increasingly looking for all sectors of the industry to come forward with effective responses to the threats caused by climate change. More than half

On the economic risk capital of portfolio insurance

Directory of Open Access Journals (Sweden)

Werner Hürlimann

2004-09-01

Full Text Available A formula for the conditional value-at-risk of classical portfolio insurance is derived and shown to be constant for sufficiently small loss probabilities. As illustrations, we discuss portfolio insurance for an equity market index using empirical data, and analyze the more general multivariate situation of a portfolio of risky assets.

How useful are Swiss flood insurance data for flood vulnerability assessments?

Science.gov (United States)

Röthlisberger, Veronika; Bernet, Daniel; Zischg, Andreas; Keiler, Margreth

2015-04-01

The databases of Swiss flood insurance companies build a valuable but to date rarely used source of information on physical flood vulnerability. Detailed insights into the Swiss flood insurance system are crucial for using the full potential of the different databases for research on flood vulnerability. Insurance against floods in Switzerland is a federal system, the modalities are manly regulated on cantonal level. However there are some common principles that apply throughout Switzerland. First of all coverage against floods (and other particular natural hazards) is an integral part of every fire insurance policy for buildings or contents. This coupling of insurance as well as the statutory obligation to insure buildings in most of the cantons and movables in some of the cantons lead to a very high penetration. Second, in case of damage, the reinstatement costs (value as new) are compensated and third there are no (or little) deductible and co-pay. High penetration and the fact that the compensations represent a large share of the direct, tangible losses of the individual policy holders make the databases of the flood insurance companies a comprehensive and therefore valuable data source for flood vulnerability research. Insurance companies not only store electronically data about losses (typically date, amount of claims payment, cause of damage, identity of the insured object or policyholder) but also about insured objects. For insured objects the (insured) value and the details on the policy and its holder are the main feature to record. On buildings the insurance companies usually computerize additional information such as location, volume, year of construction or purpose of use. For the 19 (of total 26) cantons with a cantonal monopoly insurer the data of these insurance establishments have the additional value to represent (almost) the entire building stock of the respective canton. Spatial referenced insurance data can be used for many aspects of

Biodiversity, productivity, and the spatial insurance hypothesis revisited

Science.gov (United States)

Shanafelt, David W.; Dieckmann, Ulf; Jonas, Matthias; Franklin, Oskar; Loreau, Michel; Perrings, Charles

2015-01-01

Accelerating rates of biodiversity loss have led ecologists to explore the effects of species richness on ecosystem functioning and the flow of ecosystem services. One explanation of the relationship between biodiversity and ecosystem functioning lies in the spatial insurance hypothesis, which centers on the idea that productivity and stability increase with biodiversity in a temporally varying, spatially heterogeneous environment. However, there has been little work on the impact of dispersal where environmental risks are more or less spatially correlated, or where dispersal rates are variable. In this paper, we extend the original Loreau model to consider stochastic temporal variation in resource availability, which we refer to as “environmental risk,” and heterogeneity in species dispersal rates. We find that asynchronies across communities and species provide community-level stabilizing effects on productivity, despite varying levels of species richness. Although intermediate dispersal rates play a role in mitigating risk, they are less effective in insuring productivity against global (metacommunity-level) than local (individual community-level) risks. These results are particularly interesting given the emergence of global sources of risk such as climate change or the closer integration of world markets. Our results offer deeper insights into the Loreau model and new perspectives on the effectiveness of spatial insurance in the face of environmental risks. PMID:26100182

46 CFR 309.204 - Proof of loss.

Science.gov (United States)

2010-10-01

... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION EMERGENCY OPERATIONS VALUES FOR WAR RISK INSURANCE Stores and... submitted by the owner to the Chief, Division of Insurance, Maritime Administration, Washington, DC 20590... owner and the Chief, Division of Insurance, Maritime Administration, have agreed, in advance of the loss...

Perceived Relationships among Components of Insurance Service for Users of Complementary Health Insurance Service

OpenAIRE

Urban Sebjan

2013-01-01

This article explores the relationship between the components of the services provided by complementary voluntary health insurance (CVHI), to which users ascribe different levels of importance. Research model that consists of four constructs (importance of quality service, additional coverage, price discounts of CVHI and insurance company reputation) and an indicator of the importance of insurance premium of CVHI was tested with structural equation modelling (SEM) on the sample of 300 Sloveni...

From Cyclone Tracks to the Costs of European Winter Storms: A Probabilistic Loss Assessment Model

Science.gov (United States)

Orwig, K.; Renggli, D.; Corti, T.; Reese, S.; Wueest, M.; Viktor, E.; Zimmerli, P.

2014-12-01

European winter storms cause billions of dollars of insured losses every year. Therefore, it is essential to understand potential impacts of future events, and the role reinsurance can play to mitigate the losses. The authors will present an overview on natural catastrophe risk assessment modeling in the reinsurance industry, and the development of a new innovative approach for modeling the risk associated with European winter storms.The new innovative approach includes the development of physically meaningful probabilistic (i.e. simulated) events for European winter storm loss assessment. The meteorological hazard component of the new model is based on cyclone and windstorm tracks identified in the 20thCentury Reanalysis data. The knowledge of the evolution of winter storms both in time and space allows the physically meaningful perturbation of historical event properties (e.g. track, intensity, etc.). The perturbation includes a random element but also takes the local climatology and the evolution of the historical event into account.The low-resolution wind footprints taken from the 20thCentury Reanalysis are processed by a statistical-dynamical downscaling to generate high-resolution footprints for both the simulated and historical events. Downscaling transfer functions are generated using ENSEMBLES regional climate model data. The result is a set of reliable probabilistic events representing thousands of years. The event set is then combined with country and site-specific vulnerability functions and detailed market- or client-specific information to compute annual expected losses.

Pricing behaviour of nonprofit insurers in a weakly competitive social health insurance market.

Science.gov (United States)

Douven, Rudy C H M; Schut, Frederik T

2011-03-01

In this paper we examine the pricing behaviour of nonprofit health insurers in the Dutch social health insurance market. Since for-profit insurers were not allowed in this market, potential spillover effects from the presence of for-profit insurers on the behaviour of nonprofit insurers were absent. Using a panel data set for all health insurers operating in the Dutch social health insurance market over the period 1996-2004, we estimate a premium model to determine which factors explain the price setting behaviour of nonprofit health insurers. We find that financial stability rather than profit maximisation offers the best explanation for health plan pricing behaviour. In the presence of weak price competition, health insurers did not set premiums to maximize profits. Nevertheless, our findings suggest that regulations on financial reserves are needed to restrict premiums. Copyright © 2011 Elsevier B.V. All rights reserved.

THE IMPACT OF COOPERATION BETWEEN INSURERS AND BANKS ON THE DEVELOPMENT OF THE INSURANCE SYSTEM

Directory of Open Access Journals (Sweden)

Nataliya Prikazyuk

2017-11-01

Full Text Available The article highlights how the cooperation of insurance companies and banks affects the insurance system. Defined the concept of bancassurance, provided a brief description of the main bancassurance models in the context of their impact on the insurance system. Defined the main benefits and risks that accompany cooperation of insurance companies and banks within different models of association. It is noted that despite the generally accepted benefits of cooperation between insurers and banks, financial intermediaries’ unions often carry significant risks. Benefits from the cooperation of insurance companies and banks are disclosed with operational, marketing and financial aspects. The purpose of the article is to study the forms of cooperation between financial intermediaries and their impact on the insurance system. Methodology. The study is based on theoretical methods to study this problem. The theoretical and methodological basis of the study is works of scientists on the models of cooperation between insurers and banks. The dialectical method of cognition as well as such methods as logical generalization, structural and systematic analysis are used to study the methodological foundations of banks’ impact on the insurance companies and insurance system. Results. Banking activity has a significant impact on the insurance system. This impact is noticeable at the micro-level: insurers and banks can be clients of each other as well as they can sign cooperation agreements. A significant positive impact of the bancassurance on the activities of both financial institutions within the synergy that appears during their cooperation is highlighted in the article. Respectively, the insurance company and the bank are experiencing the benefits of cooperation along with savings on fixed, variable costs and obtaining additional profits; simplifying and optimization of the process of collecting and processing information; savings on advertising and

"Aging Out" of Dependent Coverage and the Effects on US Labor Market and Health Insurance Choices.

Science.gov (United States)

Dahlen, Heather M

2015-11-01

I examined how labor market and health insurance outcomes were affected by the loss of dependent coverage eligibility under the Patient Protection and Affordable Care Act (ACA). I used National Health Interview Survey (NHIS) data and regression discontinuity models to measure the percentage-point change in labor market and health insurance outcomes at age 26 years. My sample was restricted to unmarried individuals aged 24 to 28 years and to a period of time before the ACA's individual mandate (2011-2013). I ran models separately for men and women to determine if there were differences based on gender. Aging out of this provision increased employment among men, employer-sponsored health insurance offers for women, and reports that health insurance coverage was worse than it was 1 year previously (overall and for young women). Uninsured rates did not increase at age 26 years, but there was an increase in the purchase of non-group health coverage, indicating interest in remaining insured after age 26 years. Many young adults will turn to state and federal health insurance marketplaces for information about health coverage. Because young adults (aged 18-29 years) regularly use social media sites, these sites could be used to advertise insurance to individuals reaching their 26th birthdays.

An application of Mean Escape Time and metapopulation on forestry catastrophe insurance

Science.gov (United States)

Li, Jiangcheng; Zhang, Chunmin; Liu, Jifa; Li, Zhen; Yang, Xuan

2018-04-01

A forestry catastrophe insurance model due to forestry pest infestations and disease epidemics is developed by employing metapopulation dynamics and statistics properties of Mean Escape Time (MET). The probability of outbreak of forestry catastrophe loss and the catastrophe loss payment time with MET are respectively investigated. Forestry loss data in China is used for model simulation. Experimental results are concluded as: (1) The model with analytical results is shown to be a better fit; (2) Within the condition of big area of patches and structure of patches, high system factor, low extinction rate, high multiplicative noises, and additive noises with a high cross-correlated strength range, an outbreak of forestry catastrophe loss or catastrophe loss payment due to forestry pest infestations and disease epidemics could occur; (3) An optimal catastrophe loss payment time MET due to forestry pest infestations and disease epidemics can be identified by taking proper value of multiplicative noises and limits the additive noises on a low range of value, and cross-correlated strength at a high range of value.

Developing a Model of the Efficient Management of Reserve Capital of an Endowment Insurance Company in the Ukrainian Market

Directory of Open Access Journals (Sweden)

Kapustian Volodymir O.

2017-06-01

Full Text Available The article is concerned with developing a model of the effective management of reserve capital of an endowment insurance company or so-called endowment life insurance. Such companies are powerful actors at the international market, operate with considerable capital and are effective as active investors in different areas. The main features of functioning of endowment insurance companies, as well as the factors that guarantee the sustainable development of insurance companies in both the global and Ukrainian markets, were considered. The principles of management of financial resources of insurance companies were studied. An elaborated model of management of current and reserve capital has been provided, the mechanism for establishing and operating the insurance company’s current capital, taking into account the process of income of insurance premiums and the payment of dividends on poles, has been described. An analysis of the largest endowment insurance companies in the Ukrainian market was carried out. Based on the analysis, the recommended discount rate has been calculated for the model proposed in the article.

Modelling home equity conversion loans with life insurance models

Directory of Open Access Journals (Sweden)

Baškot Bojan

2013-01-01

Full Text Available Home equity represents a reserve that can be used for providing additional money for its owners during their retirement. Life insurance models can be successfully applied to model home equity conversion loans. The home equity conversion loan is a financial product that provides a certain flexibility by using home equity as a resource for a quality life during retirement. Home equity conversion loans do not have a predetermined maturity date, as do conventional loans. But, like every loan, it must be repaid. One potential advantage of using a home equity conversion loan during tough financial times instead of some types of need-based assistance is that eligibility is straightforward. Home equity conversion loans can be useful tools in the process of pension system reform.

Pricing the property claim service (PCS) catastrophe insurance options using gamma distribution

Science.gov (United States)

Noviyanti, Lienda; Soleh, Achmad Zanbar; Setyanto, Gatot R.

2017-03-01

The catastrophic events like earthquakes, hurricanes or flooding are characteristics for some areas, a properly calculated annual premium would be closely as high as the loss insured. From an actuarial perspective, such events constitute the risk that are not insurable. On the other hand people living in such areas need protection. In order to securitize the catastrophe risk, futures or options based on a loss index could be considered. Chicago Board of Trade launched a new class of catastrophe insurance options based on new indices provided by Property Claim Services (PCS). The PCS-option is based on the Property Claim Service Index (PCS-Index). The index are used to determine and payout in writing index-based insurance derivatives. The objective of this paper is to price PCS Catastrophe Insurance Option based on PCS Catastrophe index. Gamma Distribution is used to estimate PCS Catastrophe index distribution.

Dealing with drought in irrigated agriculture through insurance schemes: an application to an irrigation district in Southern Spain

Energy Technology Data Exchange (ETDEWEB)

Ruiz, M.; Bielza, J.; Garrido, A.; Iglesias, A.

2015-07-01

Hydrological drought is expected to have an increasing impact on both crop and fruit yields in arid and semi-arid regions. Some existing crop insurance schemes provide coverage against water deficits in rain-fed agriculture. The Prevented Planting Program in the USA covers against drought for irrigated agriculture. However, drought insurance for irrigated agriculture is still a challenge for companies and institutions because of the complexity of the design and implementation of this type of insurance. Few studies have attempted to evaluate the risk of loss due to irrigation water scarcity using both stand-alone production functions and crop simulation models. This paper’s contributions are that it evaluates the suitability of AquaCrop for calculating drought insurance premiums for irrigated agriculture and that it discusses contract conditions and insurance design for hydrological drought risk coverage as part of a traditional insurance product, with on-field loss assessment in combination with a trigger index. This method was applied to an irrigation district in southern Spain. Our insurance premium calculation showed that it is feasible to apply this method provided that its data requirements are met, such as a large enough set of reliable small-scale yield and irrigation time series data, especially soil data, to calibrate AquaCrop. The choice of a trigger index should not be underestimated because it proved to have a decisive influence on insurance premiums and indemnities. Our discussion of the contract conditions shows that hydrological drought insurance must comply with a series of constraints in order to avoid moral hazard and basis risk. (Author)

Dealing with drought in irrigated agriculture through insurance schemes: an application to an irrigation district in Southern Spain

Directory of Open Access Journals (Sweden)

Jorge Ruiz

2015-12-01

Full Text Available Hydrological drought is expected to have an increasing impact on both crop and fruit yields in arid and semi-arid regions. Some existing crop insurance schemes provide coverage against water deficits in rain-fed agriculture. The Prevented Planting Program in the USA covers against drought for irrigated agriculture. However, drought insurance for irrigated agriculture is still a challenge for companies and institutions because of the complexity of the design and implementation of this type of insurance. Few studies have attempted to evaluate the risk of loss due to irrigation water scarcity using both stand-alone production functions and crop simulation models. This paper’s contributions are that it evaluates the suitability of AquaCrop for calculating drought insurance premiums for irrigated agriculture and that it discusses contract conditions and insurance design for hydrological drought risk coverage as part of a traditional insurance product, with on-field loss assessment in combination with a trigger index. This method was applied to an irrigation district in southern Spain. Our insurance premium calculation showed that it is feasible to apply this method provided that its data requirements are met, such as a large enough set of reliable small-scale yield and irrigation time series data, especially soil data, to calibrate AquaCrop. The choice of a trigger index should not be underestimated because it proved to have a decisive influence on insurance premiums and indemnities. Our discussion of the contract conditions shows that hydrological drought insurance must comply with a series of constraints in order to avoid moral hazard and basis risk.

Evolution of global contribution in multi-level threshold public goods games with insurance compensation

Science.gov (United States)

Du, Jinming; Tang, Lixin

2018-01-01

Understanding voluntary contribution in threshold public goods games has important practical implications. To improve contributions and provision frequency, free-rider problem and assurance problem should be solved. Insurance could play a significant, but largely unrecognized, role in facilitating a contribution to provision of public goods through providing insurance compensation against the losses. In this paper, we study how insurance compensation mechanism affects individuals’ decision-making under risk environments. We propose a multi-level threshold public goods game model where two kinds of public goods games (local and global) are considered. Particularly, the global public goods game involves a threshold, which is related to the safety of all the players. We theoretically probe the evolution of contributions of different levels and free-riders, and focus on the influence of the insurance on the global contribution. We explore, in both the cases, the scenarios that only global contributors could buy insurance and all the players could. It is found that with greater insurance compensation, especially under high collective risks, players are more likely to contribute globally when only global contributors are insured. On the other hand, global contribution could be promoted if a premium discount is given to global contributors when everyone buys insurance.

Insurability of Cyber Risk: An Empirical Analysis

OpenAIRE

Biener, Christian; Eling, Martin; Wirfs, Jan Hendrik

2015-01-01

This paper discusses the adequacy of insurance for managing cyber risk. To this end, we extract 994 cases of cyber losses from an operational risk database and analyse their statistical properties. Based on the empirical results and recent literature, we investigate the insurability of cyber risk by systematically reviewing the set of criteria introduced by Berliner (1982). Our findings emphasise the distinct characteristics of cyber risks compared with other operational risks and bring to li...

Modeling the Malaysian motor insurance claim using artificial neural network and adaptive NeuroFuzzy inference system

Science.gov (United States)

Mohd Yunos, Zuriahati; Shamsuddin, Siti Mariyam; Ismail, Noriszura; Sallehuddin, Roselina

2013-04-01

Artificial neural network (ANN) with back propagation algorithm (BP) and ANFIS was chosen as an alternative technique in modeling motor insurance claims. In particular, an ANN and ANFIS technique is applied to model and forecast the Malaysian motor insurance data which is categorized into four claim types; third party property damage (TPPD), third party bodily injury (TPBI), own damage (OD) and theft. This study is to determine whether an ANN and ANFIS model is capable of accurately predicting motor insurance claim. There were changes made to the network structure as the number of input nodes, number of hidden nodes and pre-processing techniques are also examined and a cross-validation technique is used to improve the generalization ability of ANN and ANFIS models. Based on the empirical studies, the prediction performance of the ANN and ANFIS model is improved by using different number of input nodes and hidden nodes; and also various sizes of data. The experimental results reveal that the ANFIS model has outperformed the ANN model. Both models are capable of producing a reliable prediction for the Malaysian motor insurance claims and hence, the proposed method can be applied as an alternative to predict claim frequency and claim severity.

The impact of clustering of extreme European windstorm events on (re)insurance market portfolios

Science.gov (United States)

Mitchell-Wallace, Kirsten; Alvarez-Diaz, Teresa

2010-05-01

Traditionally the occurrence of windstorm loss events in Europe has been considered as independent. However, a number of significant losses close in space and time indicates that this assumption may need to be revised. Under particular atmospheric conditions multiple loss-causing cyclones can occur in succession, affecting similar geographic regions and, therefore, insurance markets. A notable example is of Lothar and Martin in France in December 1999. Although the existence of cyclone families is well-known by meteorologists, there has been limited research into occurrence of serial windstorms. However, climate modelling research is now providing the ability to explore the physical drivers of clustering, and to improve understanding of the hazard aspect of catastrophe modelling. While analytics tools, including catastrophe models, may incorporate assumptions regarding the influence of dependency through statistical means, the most recent research outputs provide a new strand of information with the potential to re-assess the probabilistic loss potential in light of clustering and to provide an additional view on probable maximum losses to windstorm-exposed portfolios across regions such as Northwest Europe. There is however, a need for the testing of these new techniques within operational (re)insurance applications, and this paper provide an overview of the most current clustering research, including the 2009 paper by Vitolo et. al., in relation to reinsurance risk modelling, and to assess the potential impact of such additional information on the overall risk assessment process. We examine the consequences of the serial clustering of extra-tropical cyclones demonstrated by Vitolo et al. (2009) from the perspective of a large European reinsurer, examining potential implications for: • Pricing • Accumulation And • Capital adequacy

Rating a Wildfire Mitigation Strategy with an Insurance Premium: A Boreal Forest Case Study

Directory of Open Access Journals (Sweden)

Georgina Rodriguez-Baca

2016-05-01

Full Text Available Risk analysis entails the systematic use of historical information to determine the frequency, magnitude and effects of unexpected events. Wildfire in boreal North America is a key driver of forest dynamics and may cause very significant economic losses. An actuarial approach to risk analysis based on cumulative probability distributions was developed to reduce the adverse effects of wildfire. To this effect, we developed spatially explicit landscape models to simulate the interactions between harvest, fire and forest succession over time in a boreal forest of eastern Canada. We estimated the amount of reduction of timber harvest necessary to build a buffer stock of sufficient size to cover fire losses and compared it to an insurance premium estimated in units of timber volume from the probability of occurrence and the amount of damage. Overall, the timber harvest reduction we applied was much more costly than the insurance premium even with a zero interest rate. This is due to the fact that the insurance premium is directly related to risk while the timber harvest reduction is not and, as a consequence, is much less efficient. These results, especially the comparison with a standard indicator such as an insurance premium, have useful implications at the time of choosing a mitigation strategy to protect timber supplies against risk without overly diminishing the provision of services from the forest. They are also promoting the use of insurance against disastrous events in forest management planning.

78 FR 38483 - Area Risk Protection Insurance Regulations and Area Risk Protection Insurance Crop Provisions

Science.gov (United States)

2013-06-26

... premium rates for ARPI that are sufficient to cover expected losses plus a reasonable reserve. The premium... that maximize net benefits (including potential economic, environmental, public health and safety... establish their insurance guarantees, and compute premium amounts. Whether a producer has 10 acres or 1000...

UK nuclear terrorism insurance arrangements: an overview

International Nuclear Information System (INIS)

Tetley, M. G.

2004-01-01

The risk of terrorism in the UK is not new, but since the New York World Trade Centre attacks in 2001, the potential scale of any terrorist attack has required a considerable reassessment. With UK foreign policy closely aligned to that of the USA, the UK security services now consider it is simply a matter of when and no longer if the UK is attacked. For insurers of any type this fact would cause concern; for insurers involved in high profile and potentially catastrophic loss targets such as nuclear power plants, any attack could have a severe impact on solvency and shareholder's funds. This paper's objective is to describe the terrorism insurance arrangements put in place in the U.K. both before and after the September 2001 attacks. These arrangements have been designed both to safeguard insurers' solvency and to ensure that the nuclear industry and general public can continue to be reassured by the availability of insurance should an attack ever occur.(author)

Catastrophe Insurance Modeled by Shot-Noise Processes

Directory of Open Access Journals (Sweden)

Thorsten Schmidt

2014-02-01

Full Text Available Shot-noise processes generalize compound Poisson processes in the following way: a jump (the shot is followed by a decline (noise. This constitutes a useful model for insurance claims in many circumstances; claims due to natural disasters or self-exciting processes exhibit similar features. We give a general account of shot-noise processes with time-inhomogeneous drivers inspired by recent results in credit risk. Moreover, we derive a number of useful results for modeling and pricing with shot-noise processes. Besides this, we obtain some highly tractable examples and constitute a useful modeling tool for dynamic claims processes. The results can in particular be used for pricing Catastrophe Bonds (CAT bonds, a traded risk-linked security. Additionally, current results regarding the estimation of shot-noise processes are reviewed.

Investigating the risk reduction potential of disaster insurance across Europe

NARCIS (Netherlands)

Surminski, Swenja; Hudson, Paul

2017-01-01

The notion that insurance can play a significant role in risk reduction has recently gained increasing attention in the wake of rising losses from natural disasters. While this notion is accepted in theory, we notice that, in practice, little is known about if and how insurance promotes efforts to

Competition between health maintenance organizations and nonintegrated health insurance companies in health insurance markets.

Science.gov (United States)

Baranes, Edmond; Bardey, David

2015-12-01

This article examines a model of competition between two types of health insurer: Health Maintenance Organizations (HMOs) and nonintegrated insurers. HMOs vertically integrate health care providers and pay them at a competitive price, while nonintegrated health insurers work as indemnity plans and pay the health care providers freely chosen by policyholders at a wholesale price. Such difference is referred to as an input price effect which, at first glance, favors HMOs. Moreover, we assume that policyholders place a positive value on the provider diversity supplied by their health insurance plan and that this value increases with the probability of disease. Due to the restricted choice of health care providers in HMOs a risk segmentation occurs: policyholders who choose nonintegrated health insurers are characterized by higher risk, which also tends to favor HMOs. Our equilibrium analysis reveals that the equilibrium allocation only depends on the number of HMOs in the case of exclusivity contracts between HMOs and providers. Surprisingly, our model shows that the interplay between risk segmentation and input price effects may generate ambiguous results. More precisely, we reveal that vertical integration in health insurance markets may decrease health insurers' premiums.

78 FR 12623 - Insurer Reporting Requirements

Science.gov (United States)

2013-02-25

... NHTSA's regulation requiring motor vehicle insurers to submit information on the number of thefts and recoveries of insured vehicles and actions taken by the insurer to deter or reduce motor vehicle theft. NHTSA..., which requires insurers to submit information about the make, model, and year of all vehicle thefts, the...

Age and choice in health insurance: evidence from a discrete choice experiment.

Science.gov (United States)

Becker, Karolin; Zweifel, Peter

2008-01-01

A uniform package of benefits and uniform cost sharing are elements of regulation inherent in most social health insurance systems. Both elements risk burdening the population with a welfare loss if preferences for risk and insurance attributes differ. This suggests the introduction of more choice in social health insurance packages may be advantageous; however, it is widely believed that this would not benefit the elderly.A representative telephone survey of 1000 people aged >24 years living in the German- and French-speaking parts of Switzerland was conducted. Participants were asked to compare the status quo (i.e. their current insurance contract) with ten hypothetical alternatives. In addition, participants were asked questions concerning utilization of healthcare services; overall satisfaction with the healthcare system, insurer and insurance policy; and a general preference for new elements in the insurance package. Socioeconomic variables surveyed were age, sex, total household income, education (seven categories ranging from primary school to university degree), place of residence, occupation, and marital status. To examine the relationship between age and willingness to pay (WTP) for additional options in Swiss social health insurance.A representative telephone survey of 1000 people aged >24 years living in the German- and French-speaking parts of Switzerland was conducted. Participants were asked to compare the status quo (i.e. their current insurance contract) with ten hypothetical alternatives. In addition, participants were asked questions concerning utilization of healthcare services; overall satisfaction with the healthcare system, insurer and insurance policy; and a general preference for new elements in the insurance package. Socioeconomic variables surveyed were age, sex, total household income, education (seven categories ranging from primary school to university degree), place of residence, occupation, and marital status. A discrete choice

A utility theory approach for insurance pricing

Directory of Open Access Journals (Sweden)

Mohsen Gharakhani

2015-11-01

Full Text Available Providing insurance contract with “deductible” is beneficial for both insurer and insured. In this paper, we provide a utility modeling approach to handle insurance pricing and evaluate the tradeoff between discount benefit and deductible level. We analyze four different pricing problems of no insurance, full insurance coverage, insurance with β% deductible and insurance with D-dollar deductible based on a given utility function. A numerical example is also used to illustrate some interesting results.

Public health insurance under a nonbenevolent state.

Science.gov (United States)

Lemieux, Pierre

2008-10-01

This paper explores the consequences of the oft ignored fact that public health insurance must actually be supplied by the state. Depending how the state is modeled, different health insurance outcomes are expected. The benevolent model of the state does not account for many actual features of public health insurance systems. One alternative is to use a standard public choice model, where state action is determined by interaction between self-interested actors. Another alternative--related to a strand in public choice theory--is to model the state as Leviathan. Interestingly, some proponents of public health insurance use an implicit Leviathan model, but not consistently. The Leviathan model of the state explains many features of public health insurance: its uncontrolled growth, its tendency toward monopoly, its capacity to buy trust and loyalty from the common people, its surveillance ability, its controlling nature, and even the persistence of its inefficiencies and waiting lines.

Improvement of life insurance-related accounting opera-tions within the New Economy

Directory of Open Access Journals (Sweden)

Marinică DOBRIN

2010-06-01

Full Text Available This paper outlines the life insurance-related accounting operations, in consideration to the harmonization of the Romanian legislation with the International Financial Reporting Standards. The main accounting operations specific to the life insurance sector include: accounting of revenues and expenses derived from life insurance operations (recording the premiums written, recording the payment of insurance premiums, termination of insurance policy, recording the compensation expenses, accounting of operations related to the setting up and using the technical reserves for life insurance (general principles, accounting of premium reserves, accounting of loss reserve, accounting of the reserve for benefits and discounts, accounting of mathematical reserve, accounting of other life insurance-related technical reserves.

Insuring Care: Paperwork, Insurance Rules, and Clinical Labor at a U.S. Transgender Clinic.

Science.gov (United States)

van Eijk, Marieke

2017-12-01

What is a clinician to do when people needing medical care do not have access to consistent or sufficient health insurance coverage and cannot pay for care privately? Analyzing ethnographically how clinicians at a university-based transgender clinic in the United States responded to this challenge, I examine the U.S. health insurance system, insurance paperwork, and administrative procedures that shape transgender care delivery. To buffer the impact of the system's failure to provide sufficient health insurance coverage for transgender care, clinicians blended administrative routines with psychological therapy, counseled people's minds and finances, and leveraged the prestige of their clinic in attempts to create space for gender nonconforming embodiments in gender conservative insurance policies. My analysis demonstrates that in a market-based health insurance system with multiple payers and gender binary insurance rules, health care may be unaffordable, or remain financially challenging, even for transgender people with health insurance. Moreover, insurance carriers' "reliance" on clinicians' insurance-related labor is problematic as it exacerbates existing insurance barriers to the accessibility and affordability of transgender care and obscures the workings of a financial payment model that prioritizes economic expediency over gender nonconforming health.

The difference between LSMC and replicating portfolio in insurance liability modeling.

Science.gov (United States)

Pelsser, Antoon; Schweizer, Janina

2016-01-01

Solvency II requires insurers to calculate the 1-year value at risk of their balance sheet. This involves the valuation of the balance sheet in 1 year's time. As for insurance liabilities, closed-form solutions to their value are generally not available, insurers turn to estimation procedures. While pure Monte Carlo simulation set-ups are theoretically sound, they are often infeasible in practice. Therefore, approximation methods are exploited. Among these, least squares Monte Carlo (LSMC) and portfolio replication are prominent and widely applied in practice. In this paper, we show that, while both are variants of regression-based Monte Carlo methods, they differ in one significant aspect. While the replicating portfolio approach only contains an approximation error, which converges to zero in the limit, in LSMC a projection error is additionally present, which cannot be eliminated. It is revealed that the replicating portfolio technique enjoys numerous advantages and is therefore an attractive model choice.

Analysis of Financial Ratio to Distinguish Indonesia Joint Venture General Insurance Company Performance using Discriminant Analysis

Directory of Open Access Journals (Sweden)

Subiakto Soekarno

2012-01-01

Full Text Available Insurance industry stands as a service business that plays a significant role in Indonesiaeconomical condition. The development of insurance industry in Indonesia, both of generalinsurance and life insurance, has increased very fast. The general insurance industry itselfdivided into two major players which are local private company and Joint Venture Company.Lately, the use of statistical techniques and financial ratios models to asses financial institutionsuch as insurance company have been used as one of the appropriate combination inpredicting the performance of an industry. This research aims to distinguish between JointVenture General Insurance Companies that have a good performance and those who are lessperforming well using Discriminant Analysis. Further, the findings led that DiscriminantAnalysis is able to distinguish Joint Venture General Insurance Companies that have a goodperformance and those who are not performing well. There are also six ratios which are RBC,Technical Reserve to Investment Ratio, Debt Ratio, Return on Equity, Loss Ratio, and ExpenseRatio that stand as the most influential ratios to distinguish the performance of joint venturegeneral insurance companies. In addition, the result suggest business people to be concernedtoward those six ratios, to increase their companies’ performance.Key words: general insurance, financial ratio, discriminant analysis

26 CFR 1.825-1 - Unused loss deduction; in general.

Science.gov (United States)

2010-04-01

... TAX (CONTINUED) INCOME TAXES Mutual Insurance Companies (other Than Life and Certain Marine Insurance Companies and Other Than Fire Or Flood Insurance Companies Which Operate on Basis of Perpetual Policies Or...) provides that the unused loss deduction of a mutual insurance company subject to the tax imposed by section...

26 CFR 1.825-2 - Unused loss carryovers and carrybacks.

Science.gov (United States)

2010-04-01

... TAX (CONTINUED) INCOME TAXES Mutual Insurance Companies (other Than Life and Certain Marine Insurance Companies and Other Than Fire Or Flood Insurance Companies Which Operate on Basis of Perpetual Policies Or... insurance company taxable under section 821(a) must first determine the part of any unused losses for any...

Probabilistic, meso-scale flood loss modelling

Science.gov (United States)

Kreibich, Heidi; Botto, Anna; Schröter, Kai; Merz, Bruno

2016-04-01

Flood risk analyses are an important basis for decisions on flood risk management and adaptation. However, such analyses are associated with significant uncertainty, even more if changes in risk due to global change are expected. Although uncertainty analysis and probabilistic approaches have received increased attention during the last years, they are still not standard practice for flood risk assessments and even more for flood loss modelling. State of the art in flood loss modelling is still the use of simple, deterministic approaches like stage-damage functions. Novel probabilistic, multi-variate flood loss models have been developed and validated on the micro-scale using a data-mining approach, namely bagging decision trees (Merz et al. 2013). In this presentation we demonstrate and evaluate the upscaling of the approach to the meso-scale, namely on the basis of land-use units. The model is applied in 19 municipalities which were affected during the 2002 flood by the River Mulde in Saxony, Germany (Botto et al. submitted). The application of bagging decision tree based loss models provide a probability distribution of estimated loss per municipality. Validation is undertaken on the one hand via a comparison with eight deterministic loss models including stage-damage functions as well as multi-variate models. On the other hand the results are compared with official loss data provided by the Saxon Relief Bank (SAB). The results show, that uncertainties of loss estimation remain high. Thus, the significant advantage of this probabilistic flood loss estimation approach is that it inherently provides quantitative information about the uncertainty of the prediction. References: Merz, B.; Kreibich, H.; Lall, U. (2013): Multi-variate flood damage assessment: a tree-based data-mining approach. NHESS, 13(1), 53-64. Botto A, Kreibich H, Merz B, Schröter K (submitted) Probabilistic, multi-variable flood loss modelling on the meso-scale with BT-FLEMO. Risk Analysis.

The transfer of a health insurance/managed care business.

Science.gov (United States)

Gavin, John N; Goodman, George; Goroff, David B

2007-01-01

The owners of a health insurance/managed care business may want to sell that business for a variety of reasons. Health care provider systems may want to exit that business due to operating losses, difficulty in complying with regulations, the inherent conflict in operating that business as part of a provider system, or the desire to focus on being a health care provider. Health insurers/HMOs may want to sell all or a portion of their business due to operating losses, difficulty in servicing a particular market, or a desire to focus on other markets. No matter what reason prompts a seller to undertake a sale, a sale of health insurance/managed care business can be a complicated transaction involving a multitude of issues. This article will focus first on the ways in which such a sale may be structured. The article will then discuss some transactional issues that may arise in the negotiations for the sale of a health insurance/managed care business. The article will then focus on some particular legal issues that arise in each sale-e.g., antitrust, HIPAA, regulatory approvals, and charitable issues. Finally, this article will provide an overview of tax structuring considerations.

“Aging Out” of Dependent Coverage and the Effects on US Labor Market and Health Insurance Choices

Science.gov (United States)

2015-01-01

Objectives. I examined how labor market and health insurance outcomes were affected by the loss of dependent coverage eligibility under the Patient Protection and Affordable Care Act (ACA). Methods. I used National Health Interview Survey (NHIS) data and regression discontinuity models to measure the percentage-point change in labor market and health insurance outcomes at age 26 years. My sample was restricted to unmarried individuals aged 24 to 28 years and to a period of time before the ACA’s individual mandate (2011–2013). I ran models separately for men and women to determine if there were differences based on gender. Results. Aging out of this provision increased employment among men, employer-sponsored health insurance offers for women, and reports that health insurance coverage was worse than it was 1 year previously (overall and for young women). Uninsured rates did not increase at age 26 years, but there was an increase in the purchase of non–group health coverage, indicating interest in remaining insured after age 26 years. Conclusions. Many young adults will turn to state and federal health insurance marketplaces for information about health coverage. Because young adults (aged 18–29 years) regularly use social media sites, these sites could be used to advertise insurance to individuals reaching their 26th birthdays. PMID:26447916

Approaching Environmental Cleanup Costs Liability Through Insurance Principles

National Research Council Canada - National Science Library

Corbin, Michael A

1994-01-01

.... Applying insurance industry principles to environmental cleanup costs liability will provide a firm foundation to reduce the risk of loss to the taxpayer, reduce cleanup costs, and stimulate private...

Optimal portfolio choice under loss aversion

NARCIS (Netherlands)

A.B. Berkelaar (Arjan); R.R.P. Kouwenberg (Roy)

2000-01-01

textabstractProspect theory and loss aversion play a dominant role in behavioral finance. In this paper we derive closed-form solutions for optimal portfolio choice under loss aversion. When confronted with gains a loss averse investor behaves similar to a portfolio insurer. When confronted with

Flood model for Brazil

Science.gov (United States)

Palán, Ladislav; Punčochář, Petr

2017-04-01

Looking on the impact of flooding from the World-wide perspective, in last 50 years flooding has caused over 460,000 fatalities and caused serious material damage. Combining economic loss from ten costliest flood events (from the same period) returns a loss (in the present value) exceeding 300bn USD. Locally, in Brazil, flood is the most damaging natural peril with alarming increase of events frequencies as 5 out of the 10 biggest flood losses ever recorded have occurred after 2009. The amount of economic and insured losses particularly caused by various flood types was the key driver of the local probabilistic flood model development. Considering the area of Brazil (being 5th biggest country in the World) and the scattered distribution of insured exposure, a domain covered by the model was limited to the entire state of Sao Paolo and 53 additional regions. The model quantifies losses on approx. 90 % of exposure (for regular property lines) of key insurers. Based on detailed exposure analysis, Impact Forecasting has developed this tool using long term local hydrological data series (Agencia Nacional de Aguas) from riverine gauge stations and digital elevation model (Instituto Brasileiro de Geografia e Estatística). To provide most accurate representation of local hydrological behaviour needed for the nature of probabilistic simulation, a hydrological data processing focused on frequency analyses of seasonal peak flows - done by fitting appropriate extreme value statistical distribution and stochastic event set generation consisting of synthetically derived flood events respecting realistic spatial and frequency patterns visible in entire period of hydrological observation. Data were tested for homogeneity, consistency and for any significant breakpoint occurrence in time series so the entire observation or only its subparts were used for further analysis. The realistic spatial patterns of stochastic events are reproduced through the innovative use of d-vine copula

Insurance of risks as the instrument of protection of investments into high-rise construction

Science.gov (United States)

Vasilyeva, Elena; Okrepilov, Vladimir

2018-03-01

Insurance now is one of the important sectors for both world, and national financial systems. The mechanism of insurance of risks plays an essential role in the process of construction of high-rise buildings and as well as other unique objects. The author argues that insurance is categorically necessary because of the following reasons: huge scale and complexity of high-rise projects and great expenses, the use of unsafe sites for construction, great possible losses in case of the project, important role for the city infrastructure, numerous organizations, involved into the process of construction and maintenance, multypurpose use of the building. The features of insurance in the field of high-rise construction is also considered in the article. The prerequisites, confirming the loss occurrence are named.

Understanding Reporting Delay in General Insurance

Directory of Open Access Journals (Sweden)

Richard J. Verrall

2016-07-01

Full Text Available The aim of this paper is to understand and to model claims arrival and reporting delay in general insurance. We calibrate two real individual claims data sets to the statistical model of Jewell and Norberg. One data set considers property insurance and the other one casualty insurance. For our analysis we slightly relax the model assumptions of Jewell allowing for non-stationarity so that the model is able to cope with trends and with seasonal patterns. The performance of our individual claims data prediction is compared to the prediction based on aggregate data using the Poisson chain-ladder method.

Historical extension of operational NDVI products for livestock insurance in Kenya

Science.gov (United States)

Vrieling, Anton; Meroni, Michele; Shee, Apurba; Mude, Andrew G.; Woodard, Joshua; de Bie, C. A. J. M. (Kees); Rembold, Felix

2014-05-01

Droughts induce livestock losses that severely affect Kenyan pastoralists. Recent index insurance schemes have the potential of being a viable tool for insuring pastoralists against drought-related risk. Such schemes require as input a forage scarcity (or drought) index that can be reliably updated in near real-time, and that strongly relates to livestock mortality. Generally, a long record (>25 years) of the index is needed to correctly estimate mortality risk and calculate the related insurance premium. Data from current operational satellites used for large-scale vegetation monitoring span over a maximum of 15 years, a time period that is considered insufficient for accurate premium computation. This study examines how operational NDVI datasets compare to, and could be combined with the non-operational recently constructed 30-year GIMMS AVHRR record (1981-2011) to provide a near-real time drought index with a long term archive for the arid lands of Kenya. We compared six freely available, near-real time NDVI products: five from MODIS and one from SPOT-VEGETATION. Prior to comparison, all datasets were averaged in time for the two vegetative seasons in Kenya, and aggregated spatially at the administrative division level at which the insurance is offered. The feasibility of extending the resulting aggregated drought indices back in time was assessed using jackknifed R2 statistics (leave-one-year-out) for the overlapping period 2002-2011. We found that division-specific models were more effective than a global model for linking the division-level temporal variability of the index between NDVI products. Based on our results, good scope exists for historically extending the aggregated drought index, thus providing a longer operational record for insurance purposes. We showed that this extension may have large effects on the calculated insurance premium. Finally, we discuss several possible improvements to the drought index.

Ways and means of insuring against nuclear risks

International Nuclear Information System (INIS)

Campbell Miles, A.

1975-01-01

Despite stringent safety requirements imposed upon nuclear installations, the need for adequate insurance cover is motivated by the consideration that a nuclear accident could lead to very grave consequences. To marshal the large insurance capacity required, national pools were formed in many countries, which may enter into arrangements with other similar national pools to increase their own capacity with a view to an appropriate spread of the risks involved. In the absence of a national nuclear pool, application for nuclear insurance would normally be made to the national insurance market association concerned. Virtually every type of nuclear risk is insurable; various forms of material damage and liability insurances are available. The financial liability of nuclear operators is established by national legislation on the basis of international conventions. Insurance coverage is linked to the operator's amount of liability established by law. A third party nuclear liability insurance policy usually consists of three parts: Part I covers the operator's liability under his domestic nuclear legislation; Part II provides non-nuclear power for accidents on the site up to a separate liability limit selected by the operator; and Part III provides cover for costs. Other types of insurance deal with damage to the site and the installation (material damage), consequential losses, contingent liabilities of suppliers of goods and services (products liability), nuclear material in transit and nuclear-propelled ships. (author)

Pricing Weather Index Insurance Based on Artificial Controlled Experiment - A Case Study of Cold Temperature for Early Rice in Jiangxi, China

Science.gov (United States)

SUN, Q.; Yang, Z.

2017-12-01

The growth of early rice is often threated by a phenomenon known as Grain Buds Cold, a period of anomalously cold temperature that occurs during the booting and flowering stage. Therefore, quantifying the impact of weather on crop yield is a core issue in design of weather index insurance. A high yield loss will lead to an increasing premium rate. In this paper, we explored a new way to investigate the relationship between yield loss rate and cold temperature durations. A two-year artificial controlled experiment was used to build logarithm and linear yield loss model. Moreover, an information diffusion model was applied to calculate the probability of different durations which lasting for 3-20 days. The results show that pure premium rates of logarithm yield loss model had better premium rates performance than that of linear yield loss model. The premium rates of Grain Buds Cold Weather Index Insurance fluctuated between 7.085% and 10.151% in Jiangxi Province. Compared with common statistical methods, the artificial controlled experiment provides an easier and more robust way to determine the relationship between yield and single meteorological factor. Meanwhile, this experiment would be very important for some regions where were lacking in historical yield data and climate data and could help farmers cope with extreme cold weather risks under varying weather conditions.

Measuring the effectiveness of earthquake forecasting in insurance strategies

Science.gov (United States)

Mignan, A.; Muir-Wood, R.

2009-04-01

Given the difficulty of judging whether the skill of a particular methodology of earthquake forecasts is offset by the inevitable false alarms and missed predictions, it is important to find a means to weigh the successes and failures according to a common currency. Rather than judge subjectively the relative costs and benefits of predictions, we develop a simple method to determine if the use of earthquake forecasts can increase the profitability of active financial risk management strategies employed in standard insurance procedures. Three types of risk management transactions are employed: (1) insurance underwriting, (2) reinsurance purchasing and (3) investment in CAT bonds. For each case premiums are collected based on modelled technical risk costs and losses are modelled for the portfolio in force at the time of the earthquake. A set of predetermined actions follow from the announcement of any change in earthquake hazard, so that, for each earthquake forecaster, the financial performance of an active risk management strategy can be compared with the equivalent passive strategy in which no notice is taken of earthquake forecasts. Overall performance can be tracked through time to determine which strategy gives the best long term financial performance. This will be determined by whether the skill in forecasting the location and timing of a significant earthquake (where loss is avoided) is outweighed by false predictions (when no premium is collected). This methodology is to be tested in California, where catastrophe modeling is reasonably mature and where a number of researchers issue earthquake forecasts.

Assessing the antecedents of customer loyalty on healthcare insurance products: Service quality; perceived value embedded model

Directory of Open Access Journals (Sweden)

Fadi Abdelmuniem Abdelfattah

2015-11-01

Full Text Available Purpose: This research aim to investigate the influence of service quality attributes towards customers’ loyalty on health insurance products. In addition, this research also tested the mediation role of perceived value in between service quality and customers’ loyalty on health insurance products. Design/methodology/approach: Based on the literature review, this research developed a conceptual model of customers loyalty embedded with service quality and perceived value. The study surveyed 342 healthcare insurance customers. Apart from assessing the reliability and validity of the constructs through confirmatory factor analysis, this research also used structural equation modelling (SEM approach to test the proposed hypothesis. Findings: The results from the inferential statistics revealed that the healthcare insurance customers are highly influenced by service quality followed by the perceived value in reaching their loyalty towards a particular health insurance service provider. Research limitations/implications: The sample for this study is based on health insurance customers only and it is suggested that future studies enlarge the scope to include others type of customers of different insurance products. Practical implications: In order to encourage the customers to more loyal towards their service providers, this research will add value for the mangers to understand the items of service quality and considering the perceived value of the target customers in order to optimize their loyalty. As whole, the outcome of this research will assist managers for better understanding of the customers’ loyalty antecedents under the perspective of healthcare insurance products. Originality/value: This paper has tried to provide a comprehensive understanding about customers’ loyalty under the perspective of service quality and perceived values context in the Malaysian health care insurance industry. Since there was a lack of such research in

Modern problems in insurance mathematics

CERN Document Server

Martin-Löf, Anders

2014-01-01

This book is a compilation of 21 papers presented at the International Cramér Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several large research communities in modern insurance mathematics and its applications. The main topics represented in the book are modern risk theory and its applications, stochastic modelling of insurance business, new mathematical problems in life and non-life insurance, and related topics in applied and financial mathematics. The book is an original and useful source of inspiration and essential reference for a broad spectrum of theoretical and applied researchers, research students and experts from the insurance business. In this way, Modern Problems in Insurance Mathematics will contribute to the development of research and academy–industry co-operation in the area of insurance mathematics and its applications.

Innovation in drought risk management: exploring the potential of weather index insurance

Science.gov (United States)

Iglesias, E.; Baez, K.

2012-04-01

Many family farming and indigenous communities depend on grazing livestock activities and are particularly prone to drought risks. Vulnerability to drought limits the ability of these households to exit poverty and in many cases leads to environmental degradation. It is well known that uninsured exposure exacerbates income inequality in farming systems and eventually results in welfare losses for rural families. The advantages of farmers who have access to financial tools have been widely acknowledged. However, high administrative costs of traditional insurance hinder small farmers' access to risk management tools. One of the main problems in insurance design relates to the lack of quality data to estimate the risk premium. In rural areas where there are no historical records of farm production data on adverse events such as drought. New technologies such as remote sensing help to overcome this problem and generate information from these areas that otherwise would be impossible or too expensive to obtain. In this paper, we use a satellite based vegetation index (NDVI) and develop a stochastic model to analyse the potential of index insurance to address the risk of drought in Chilean grazing lands. Our results suggest that contract design is a key issue to improve the correlation of the index with individual farm losses, thus reducing basis risk. In particular, we find that the definition of homogeneous areas and the selection of the triggering index threshold are critical issues and show the incidence of different contract designs on (i) the probability that the farmer experience losses but does not receive compensation (false negative) and (ii) the probability that the index triggers compensation but the farmer does not experience drought losses (false negative). Both aspects are key issues to offer the farmer an adequate protection against droughts and guarantee the affordability of the risk premium.

Climate change and the insurance industry. The cost of increased risk and the impetus for action

International Nuclear Information System (INIS)

Tucker, Michael

1997-01-01

A convincing economic argument for taking action to prevent or ameliorate climate change has not developed because of both uncertainty about the degree of change and its timing. Recent costly weather-related catastrophes with consequent negative impacts on the insurance industry has made the insurance industry a potential advocate for slowing what has been identified as a causal factor in climate change: emissions of greenhouse gases. However, rising costs of claims, without a longer-term trend of such catastrophic losses, will make it difficult to present a strong case for taking costly economic action. Using the Black Scholes Option Pricing Model, it is shown that increasing levels of climate variability as embedded in the anticipated variability of damage to insured assets will have an immediate economic cost that could serve to bolster the argument for more immediate action. That cost is shown to be economically justified higher insurance premiums

Chinese nuclear insurance and Chinese nuclear insurance pool

International Nuclear Information System (INIS)

Gong Zhiqi

2000-01-01

Chinese Nuclear Insurance Started with Daya Bay Nuclear Power Station, PICC issued the insurance policy. Nuclear insurance cooperation between Chinese and international pool's organizations was set up in 1989. In 1996, the Chinese Nuclear Insurance Pool was prepared. The Chinese Nuclear Insurance Pool was approved by The Chinese Insurance Regulatory Committee in May of 1999. The principal aim is to centralize maximum the insurance capacity for nuclear insurance from local individual insurers and to strengthen the reinsurance relations with international insurance pools so as to provide the high quality insurance service for Chinese nuclear industry. The Member Company of Chinese Nuclear Pool and its roles are introduced in this article

Mutuality and solidarity: assessing risks and sharing losses.

Science.gov (United States)

Wilkie, D

1997-01-01

Mutuality is the principle of private, commercial insurance; individuals enter the pool for sharing losses, and pay according to the best estimate of the risk they bring with them. Solidarity is the sharing of losses with payment according to some other scheme; this is the principle of state social insurance; essential features of solidarity are comprehensiveness and compulsion. Private insurance is subject to the uberrima fides principle, or utmost good faith; each side declares all it knows about the risk. The Disability Discrimination Act requires insurers to justify disability discrimination on the basis of relevant information, acturial, statistical or medical, on which it is reasonable to rely. It could be very damaging to private insurance to abandon uberrima fides. However, although some genetic information is clearly useful to underwriters, other information may be so general as to be of little use. The way in which mortality rates are assessed is also explained. PMID:9304668

The Effects of Health Shocks on Employment and Health Insurance: The Role of Employer-Provided Health Insurance

Science.gov (United States)

Bradley, Cathy J.; Neumark, David; Motika, Meryl

2012-01-01

Background Employment-contingent health insurance (ECHI) has been criticized for tying insurance to continued employment. Our research sheds light on two central issues regarding employment-contingent health insurance: whether such insurance “locks” people who experience a health shock into remaining at work; and whether it puts people at risk for insurance loss upon the onset of illness, because health shocks pose challenges to continued employment. Objective To determine how men’s dependence on their own employer for health insurance affects labor supply responses and health insurance coverage following a health shock. Data Sources We use the Health and Retirement Study (HRS) surveys from 1996 through 2008 to observe employment and health insurance status at interviews two years apart, and whether a health shock occurred in the intervening period between the interviews. Study Selection All employed married men with health insurance either through their own employer or their spouse’s employer, interviewed in at least two consecutive HRS waves with non-missing data on employment, insurance, health, demographic, and other variables, and under age 64 at the second interview. We limited the sample to men who were initially healthy. Data Extraction Our analytical sample consisted of 1,582 men of whom 1,379 had ECHI at the first interview, while 203 were covered by their spouse’s employer. Hospitalization affected 209 men with ECHI and 36 men with spouse insurance. A new disease diagnosis was reported by 103 men with ECHI and 22 men with other insurance. There were 171 men with ECHI and 25 men with spouse employer insurance who had a self-reported health decline. Data Synthesis Labor supply response differences associated with ECHI – with men with health shocks and ECHI more likely to continue working – appear to be driven by specific types of health shocks associated with future higher health care costs but not with immediate increases in morbidity that

Comparing flood loss models of different complexity

Science.gov (United States)

Schröter, Kai; Kreibich, Heidi; Vogel, Kristin; Riggelsen, Carsten; Scherbaum, Frank; Merz, Bruno

2013-04-01

Any deliberation on flood risk requires the consideration of potential flood losses. In particular, reliable flood loss models are needed to evaluate cost-effectiveness of mitigation measures, to assess vulnerability, for comparative risk analysis and financial appraisal during and after floods. In recent years, considerable improvements have been made both concerning the data basis and the methodological approaches used for the development of flood loss models. Despite of that, flood loss models remain an important source of uncertainty. Likewise the temporal and spatial transferability of flood loss models is still limited. This contribution investigates the predictive capability of different flood loss models in a split sample cross regional validation approach. For this purpose, flood loss models of different complexity, i.e. based on different numbers of explaining variables, are learned from a set of damage records that was obtained from a survey after the Elbe flood in 2002. The validation of model predictions is carried out for different flood events in the Elbe and Danube river basins in 2002, 2005 and 2006 for which damage records are available from surveys after the flood events. The models investigated are a stage-damage model, the rule based model FLEMOps+r as well as novel model approaches which are derived using data mining techniques of regression trees and Bayesian networks. The Bayesian network approach to flood loss modelling provides attractive additional information concerning the probability distribution of both model predictions and explaining variables.

Insurance concerns relative to onsite storage of low level radioactive waste

International Nuclear Information System (INIS)

Fox, P.R.

1995-01-01

ANI and MAELU are voluntary associations made up of approximately 80 stock ampersand 98 mutual insurance companies who insure nuclear risks on a syndicate or pooling basis. The purpose of the pools is to provide for the insurance needs of the nuclear industry in the United States as mandated by the Congress and the NRC. ANI and MAELU provide two types of insurance policies: (1) liability policies - In general, nuclear liability policies provide protection for third party bodily injury and off-site property damage resulting from the nuclear hazard. (2) property policies - The property policies insure against radioactive contamination as the primary peril, but also provide coverage of many conventional property insurance perils. These range from boiler and machinery type losses to fire, extended coverage and vandalism to earthquake and flood coverage

Corporate insurance and debt capacity: Empirical evidence from Italy

Directory of Open Access Journals (Sweden)

Fabrizio Santoboni

2012-11-01

Full Text Available In banks/enterprises relationships a key role is played by Basel II Framework, which accurately correlates banks’ capital requirement to risks, by stimulating a more precise creditworthiness assessment. As known, the containment of risks inherent in bank financing can be carried out ex ante, through an adequate screening, which allows the proper assessment of enterprises’ economic and financial situation and a sound composition of the total loan portfolio, and ex post, through guarantees, which allow benefiting from a loss reduction only after insolvency has occurred. From this perspective, Basel II Framework brings important changes, since life insurance and surety policy are “eligible” guarantees for Credit Risk Mitigation. Nevertheless, banks could offer a better pricing to borrowers not because they are less risky, but because the whole operation would need a lower capital requirement. Therefore, corporate risks reduction – which would allow, in the absence of credit rationing, a more profitable debt capacity – is necessarily achieved through an appropriate “umbrella insurance”, able to cope with both direct and indirect loss. This work aims at investigating the existence of a “virtuous” relationship among corporate insurance purchases, credit risk and debt capacity. Such aim has been pursued through different steps: review of literature, to identify the reasons of corporate demand for insurance; analysis of Italian enterprises’ corporate insurance purchases; drafting of a questionnaire, to submit to a sample of the main insurance companies working in Italy, intended to identify what kind of role they play in the relation with enterprises and which insurance products they offer; drafting of a questionnaire, to submit to a sample of the main banks working in Italy, intended to investigate whether and how the possession of corporate insurance is taken into consideration in the determination of enterprises�

On 1-convexity and nucleolus of co-insurance games

NARCIS (Netherlands)

Driessen, Theo; Fragnelli, Vito; Katsev, Ilya V.; Khmelnitskaya, Anna Borisovna

2011-01-01

The insurance situation in which an enormous risk is insured by a number of insurance companies is modeled through a cooperative TU game, the so-called co-insurance game, first introduced in Fragnelli and Marina (2004). In this paper we present certain conditions on the parameters of the model that

Premium Pricing of Liability Insurance Using Random Sum Model

OpenAIRE

Kartikasari, Mujiati Dwi

2017-01-01

Premium pricing is one of important activities in insurance. Nonlife insurance premium is calculated from expected value of historical data claims. The historical data claims are collected so that it forms a sum of independent random number which is called random sum. In premium pricing using random sum, claim frequency distribution and claim severity distribution are combined. The combination of these distributions is called compound distribution. By using liability claim insurance data, we ...

A structural econometric model of family valuation and choice of employer-sponsored health insurance in the United States.

Science.gov (United States)

Vanness, David J

2003-09-01

This paper estimates a fully structural unitary household model of employment and health insurance decisions for dual wage-earner families with children in the United States, using data from the 1987 National Medical Expenditure Survey. Families choose hours of work and the breakdown of compensation between cash wages and health insurance benefits for each wage earner in order to maximize expected utility under uncertain need for medical care. Heterogeneous demand for the employer-sponsored health insurance is thus generated directly from variations in health status and earning potential. The paper concludes by discussing the benefits of using structural models for simulating welfare effects of insurance reform relative to the costly assumptions that must be imposed for identification. Copyright 2003 John Wiley & Sons, Ltd.

Exposure as Duration and Distance in Telematics Motor Insurance Using Generalized Additive Models

Directory of Open Access Journals (Sweden)

Jean-Philippe Boucher

2017-09-01

Full Text Available In Pay-As-You-Drive (PAYD automobile insurance, the premium is fixed based on the distance traveled, while in usage-based insurance (UBI the driving patterns of the policyholder are also considered. In those schemes, drivers who drive more pay a higher premium compared to those with the same characteristics who drive only occasionally, because the former are more exposed to the risk of accident. In this paper, we analyze the simultaneous effect of the distance traveled and exposure time on the risk of accident by using Generalized Additive Models (GAM. We carry out an empirical application and show that the expected number of claims (1 stabilizes once a certain number of accumulated distance-driven is reached and (2 it is not proportional to the duration of the contract, which is in contradiction to insurance practice. Finally, we propose to use a rating system that takes into account simultaneously exposure time and distance traveled in the premium calculation. We think that this is the trend the automobile insurance market is going to follow with the eruption of telematics data.

Unemployment Insurance and Inequality

DEFF Research Database (Denmark)

Larsen, Birthe; Waisman, Gisela

This paper examines the impact of higher unemployment insurance on the fraction of the work force paying into an unemployment insurance fond, wage differences and therefore inquality and education letting worker initial wealth being important for the decisions and implied values. As usually higher...... educated workers receive a lower fraction of their wages as unemployment insurance, we consider how the impact on labour market performance and wage differences and thereby inequality differ dependent on whether educated or uneducated workers receive higher benefits. The model can help shed light...... on the the puzzle why only some workers, for given educational level, pay into an unemployment insurance fond, the lower wealth mobility than income mobility as well as the relative compressed wage structure in countries with generous social assistance as well as unemployment insurance for low income workers...

Modelling and Forecasting of Rice Yield in support of Crop Insurance

Science.gov (United States)

Weerts, A.; van Verseveld, W.; Trambauer, P.; de Vries, S.; Conijn, S.; van Valkengoed, E.; Hoekman, D.; Hengsdijk, H.; Schrevel, A.

2016-12-01

The Government of Indonesia has embarked on a policy to bring crop insurance to all of Indonesia's farmers. To support the Indonesian government, the G4INDO project (www.g4indo.org) is developing/constructing an integrated platform for judging and handling insurance claims. The platform consists of bringing together remote sensed data (both visible and radar) and hydrologic and crop modelling and forecasting to improve predictions in one forecasting platform (i.e. Delft-FEWS, Werner et al., 2013). The hydrological model and crop model (LINTUL) are coupled on time stepping basis in the OpenStreams framework (see https://github.com/openstreams/wflow) and deployed in a Delft-FEWS forecasting platform to support seasonal forecasting of water availability and crop yield. First we will show the general idea about the project, the integrated platform (including Sentinel 1 & 2 data) followed by first (reforecast) results of the coupled models for predicting water availability and crop yield in the Brantas catchment in Java, Indonesia. Werner, M., Schellekens, J., Gijsbers, P., Van Dijk, M., Van den Akker, O. and Heynert K, 2013. The Delft-FEWS flow forecasting system, Environmental Modelling & Software; 40:65-77. DOI: 10.1016/j.envsoft.2012.07.010 .

Duty to provide pre-contractual information of crop insurance

Directory of Open Access Journals (Sweden)

Ivančević Katarina

2016-01-01

Full Text Available Crop insurance is one of the most important types of agricultural insurance. From the aspect of insurance technique, this insurance is very challenging and requires careful drafting of insurance terms and tariffs. This type of insurance can provide security to farmers in case of financial losses caused by numerous risks which they are exposed to. Insufficient knowledge of the opportunities that the insurance provides is caused in part by inaccurate and vague explanations that have been offered by insurers in negotiation stage to interested farmers. In this regard, an important novelty in Serbian law is the obligation of contractual information which was introduced by the new Insurance Law (IL. In this way, additional protection to users of the service of insurance in relation to the provisions of the obligation law is provided. The goal of this obligation is to allow a negotiator to gain a clear idea of the essential elements of the insurance contract, to consider the proposed coverage and make a reasonable decision whether to accept the conclusion of the insurance contract or not, i.e. under what conditions it should be concluded. Sanctions for failure in the obligation to inform act preventively and repressively on insurers. The aim of this study is analyse the legal and factual position of the service beneficiaries in terms of obligation of economically and experientially superior contractor of lawful and full information of a policyholder prior to the conclusion of an insurance contract in a very specific branch of insurance, such as crop insurance. The application of inductive-deductive and comparative-legal research method, points to certain doctrinal and normative solutions from other legal systems, legal provisions applicable in the law of the Republic of Serbia are critically set out, as well as the daily practice of insurance companies.

Micro-level stochastic loss reserving

NARCIS (Netherlands)

Antonio, K.; Plat, R.

2010-01-01

To meet future liabilities general insurance companies will set-up reserves. Predicting future cash-flows is essential in this process. Actuarial loss reserving methods will help them to do this in a sound way. The last decennium a vast literature about stochastic loss reserving for the general

The design of long term care insurance contracts.

Science.gov (United States)

Cremer, Helmuth; Lozachmeur, Jean-Marie; Pestieau, Pierre

2016-12-01

This paper studies the design of long term care (LTC) insurance contracts in the presence of ex post moral hazard. While this problem bears some similarity with the study of health insurance (Blomqvist, 1997) the significance of informal LTC affects the problem in several crucial ways. It introduces the potential crowding out of informal care by market care financed through insurance coverage. Furthermore, the information structure becomes more intricate. Informal care is not publicly observable and, unlike the insurer, caregivers know the true needs of their relatives. We determine the optimal second-best contract and show that the optimal reimbursement rate can be written as an A-B-C expression à la Diamond (1998). These terms respectively reflect the efficiency loss as measured by the inverse of the demand elasticity, the distribution of needs and the preferences for risk sharing. Interestingly, informal care directly affects only the first term. More precisely the first term decreases with the presence and significance of informal care. Roughly speaking this means that an efficient LTC insurance contract should offer lower (marginal) reimbursement rates than its counterpart in a health insurance context. Copyright © 2016 Elsevier B.V. All rights reserved.

26 CFR 1.823-6 - Determination of statutory underwriting income or loss.

Science.gov (United States)

2010-04-01

... TREASURY (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES Mutual Insurance Companies (other Than Life and Certain Marine Insurance Companies and Other Than Fire Or Flood Insurance Companies Which Operate on Basis... statutory underwriting income or loss for the taxable year, a mutual insurance company subject to the tax...

Impacts of the regulatory model for market risk capital: application in a special savings company, an insurance company, and a pension fund

Directory of Open Access Journals (Sweden)

Betty Lilian Chan

Full Text Available ABSTRACT In line with the regulation brought in by Solvency II, the Superintendence of Private Insurance (Susep introduced the market risk capital requirement at the end of 2015, with 50% of the minimum capital for this type of risk being required by December 31st 2016 and 100% the following year. This regulatory model consists of calculating parametric value at risk with a 99% confidence level and a three month time horizon, using the net exposure of expected cash flows from assets and liabilities and a covariance matrix updated with market data up to July 2014. One limitation of this regulatory approach is that the updating of the covariance matrix depends on prior approval by the National Council of Private Insurance, which can limit the frequency the covariance matrix is updated and the model’s adherence to the current market reality. As this matrix considers the period before the presidential election, the country’s loss of investment grade status, and the impeachment process, which all contributed to an increase in market volatility, this paper analyses the impacts of applying the regulatory model, considering the market volatility updated to December 31st 2015, for a special savings company (sociedade de capitalização, an insurance company, and an pension fund. Furthermore, the paper discusses the practical implications of the new market risk requirement for managing the investments of the entities supervised by Susep, listing the various assumptions that can be used in the regulated entities’ Asset and Liability Management decision models and possible trade-offs to be addressed in this process.

Development of the Health Insurance Literacy Measure (HILM): Conceptualizing and Measuring Consumer Ability to Choose and Use Private Health Insurance

Science.gov (United States)

Paez, Kathryn A.; Mallery, Coretta J.; Noel, HarmoniJoie; Pugliese, Christopher; McSorley, Veronica E.; Lucado, Jennifer L.; Ganachari, Deepa

2014-01-01

Understanding health insurance is central to affording and accessing health care in the United States. Efforts to support consumers in making wise purchasing decisions and using health insurance to their advantage would benefit from the development of a valid and reliable measure to assess health insurance literacy. This article reports on the development of the Health Insurance Literacy Measure (HILM), a self-assessment measure of consumers' ability to select and use private health insurance. The authors developed a conceptual model of health insurance literacy based on formative research and stakeholder guidance. Survey items were drafted using the conceptual model as a guide then tested in two rounds of cognitive interviews. After a field test with 828 respondents, exploratory factor analysis revealed two HILM scales, choosing health insurance and using health insurance, each of which is divided into a confidence subscale and likelihood of behavior subscale. Correlations between the HILM scales and an objective measure of health insurance knowledge and skills were positive and statistically significant which supports the validity of the measure. PMID:25315595

Modeling & Analysisng of Economic Behaviour of Insurance Acceptance of Wheat crop by using of Thinking System Approach

Directory of Open Access Journals (Sweden)

hamid balali

2014-10-01

Full Text Available Unsustainability and precarious conditions of agricultural production have caused this sector be associated with risk . Crops insurance is efficient tool for controlling and reducing production and market risk and stabilizing farmers' income. In this study, the thinking system approach by using of I Think software is used for analyzing and modeling of the effects of different alternatives of policies on wheat insurance acceptance. The results show that the decision making process of insurance acceptance is function of some variables including of probability of brooz khesarat, amount of brooz khesarat, share of farmer’s insurance payment, gross return of fermers and maximum tahood of bimegar payments. Also, by increasing of the probability of brooz khesarat the number of insurance acceptance will increaseal production have caused this sector be associated with risk . Crops insurance is efficient tool for controlling and reducing production and market risk and stabilizing farmers' income. In .

Availability and Affordability of Insurance Under Climate Change. A Growing Challenge for the U.S

International Nuclear Information System (INIS)

Mills, E.; Roth, R.J. Jr; Lecomte, E.

2005-01-01

The paper explores the insurability of risks from climate change, and ways in which insurance affordability and availability could be adversely impacted in the U.S. i n the coming years. It includes examples where affordability and availability of insurance are already at risk from rising weather-related losses and how future financial exposure for insurers, governments, businesses and consumers could worsen if current climate and business trends continue

Competitive Cyber-Insurance and Internet Security

Science.gov (United States)

Shetty, Nikhil; Schwartz, Galina; Felegyhazi, Mark; Walrand, Jean

This paper investigates how competitive cyber-insurers affect network security and welfare of the networked society. In our model, a user's probability to incur damage (from being attacked) depends on both his security and the network security, with the latter taken by individual users as given. First, we consider cyberinsurers who cannot observe (and thus, affect) individual user security. This asymmetric information causes moral hazard. Then, for most parameters, no equilibrium exists: the insurance market is missing. Even if an equilibrium exists, the insurance contract covers only a minor fraction of the damage; network security worsens relative to the no-insurance equilibrium. Second, we consider insurers with perfect information about their users' security. Here, user security is perfectly enforceable (zero cost); each insurance contract stipulates the required user security. The unique equilibrium contract covers the entire user damage. Still, for most parameters, network security worsens relative to the no-insurance equilibrium. Although cyber-insurance improves user welfare, in general, competitive cyber-insurers fail to improve network security.

Role of American Nuclear Insurers in reducing occupational radiation exposure

International Nuclear Information System (INIS)

Forbes, J.L.

1980-01-01

Since 1957 the nuclear insurance pools have provided liability and property insurance for the nation's nuclear power generating stations as mandated by the Price-Anderson Act. Although the insurance was originally structured to give financial protection to the insured in the event of a major accident, the potential for third-party claims arising from routine occupational exposure is becoming a more realistic pathway for a loss to the pools. In order to give maximum protection to the pools' assets, the Liability Engineering Department of American Nuclear Insurers (ANI) performs periodic inspections of the power plants. By concentrating on programs and management areas, ANI inspections complement regulatory inspections so that all major areas of common interest are reviewed. This paper presents the nature, results, and findings of those periodic inspections particularly in the general area of plant radiation protection

77 FR 50671 - Withdrawal of Proposed Rule on Insurer Reporting Requirements; List of Insurers Required To File...

Science.gov (United States)

2012-08-22

... reports on their motor vehicle theft loss experiences. An insurer included in any of the appendices that...: Congress enacted the Motor Vehicle Theft Law Enforcement Act of 1984 (Pub. L. 98-547). This legislation... report includes information about thefts and recoveries of motor vehicles, the rating rules used by the...

Insurance cost of Swedish nuclear power plants

International Nuclear Information System (INIS)

Kaellstrand, Aasa.

1992-01-01

What happens if a reactor accident occurs? Can victims of a nuclear accident be compensated for losses? The rights of a victim of a nuclear accident to be compensated for losses are governed by international conventions. These conventions make the licensee of a nuclear plant strictly liable. However, the maximum amount of compensation is limited. In Sweden the total liability of the plant-owner is maximized to 1.2 million Swedish Crowns, that is 0.02 oere/kWh. After the accidents of Harrisburg (1979) and Chernobyl (1986), it has become clear that the amounts of the various conventions are not at all sufficient to cover the damages caused by such an accident. In spite of these facts, there are a large number of reliable sources, who think that the insurance costs are negligible in the cost of production. A cost-benefit analysis based on a study performed by Ottinger et al. in 'Environmental costs of electricity' is therefore adopted to derive the costs of the external effects of nuclear plant operation and from releases to the environment during operation. The environmental externality costs of Swedish nuclear power plant operations are in this report estimated to 18.3 oere/kWh. This figure can be compared to the insurance cost, which for the present is 0.02 oere/kWh. The 'real' insurance cost including the external effects is calculated to approximately 1.12 billion Swedish Crowns] That is 900 times larger than the insurance premium, which the licensee of a nuclear plant faces] (au)

Solar technology and the insurance industry: Issues and applications

Energy Technology Data Exchange (ETDEWEB)

Deering, A.; Thornton, J. P.

1999-07-01

Today's insurance industry strongly emphasizes developing cost-effective hazard mitigation programs, increasing and retaining commercial and residential customers through better service, educating customers on their exposure and vulnerabilities to natural disasters, collaborating with government agencies and emergency management organizations, and exploring the use of new technologies to reduce the financial impact of disasters. Solar technology can be used in underwriting, claims, catastrophe response, loss control, and risk management. This report will address the above issues, with an emphasis on pre-disaster planning and mitigation alternatives. It will also discuss how energy efficiency and renewable technologies can contribute to reducing insurance losses and offer suggestions on how to collaborate with the utility industry and how to develop educational programs for business and consumers.

Quantification of agricultural drought occurrence as an estimate for insurance programs

Science.gov (United States)

Bannayan, M.; Hoogenboom, G.

2015-11-01

Temporal irregularities of rainfall and drought have major impacts on rainfed cropping systems. The main goal of this study was to develop an approach for realizing drought occurrence based on local winter wheat yield loss and rainfall. The domain study included 11 counties in the state of Washington that actively grow rainfed winter wheat and an uncertainty rainfall evaluation model using daily rainfall values from 1985 to 2007. An application was developed that calculates a rainfall index for insurance that was then used to determine the drought intensity for each study year and for each study site. Evaluation of the drought intensity showed that both the 1999-2000 and 2000-2001 growing seasons were stressful years for most of the study locations, while the 2005-2006 and the 2006-2007 growing seasons experienced the lowest drought intensity for all locations. Our results are consistent with local extension reports of drought occurrences. Quantification of drought intensity based on this application could provide a convenient index for insurance companies for determining the effect of rainfall and drought on crop yield loss under the varying weather conditions of semi-arid regions.

FraudBuster: Reducing Fraud in an Auto Insurance Market.

Science.gov (United States)

Nagrecha, Saurabh; Johnson, Reid A; Chawla, Nitesh V

2018-03-01

Nonstandard insurers suffer from a peculiar variant of fraud wherein an overwhelming majority of claims have the semblance of fraud. We show that state-of-the-art fraud detection performs poorly when deployed at underwriting. Our proposed framework "FraudBuster" represents a new paradigm in predicting segments of fraud at underwriting in an interpretable and regulation compliant manner. We show that the most actionable and generalizable profile of fraud is represented by market segments with high confidence of fraud and high loss ratio. We show how these segments can be reported in terms of their constituent policy traits, expected loss ratios, support, and confidence of fraud. Overall, our predictive models successfully identify fraud with an area under the precision-recall curve of 0.63 and an f-1 score of 0.769.

Performance measurement and insurance liabilities

NARCIS (Netherlands)

Plantinga, A; Huijgen, C

2001-01-01

In this article, the authors develop an attribution framework for evaluating the investment performance of institutional investors such as insurance companies. The model is useful in identifying the investment skills of insurance companies. This is accomplished by developing a dual benchmark for the

A probabilistic strategy for parametric catastrophe insurance

Science.gov (United States)

Figueiredo, Rui; Martina, Mario; Stephenson, David; Youngman, Benjamin

2017-04-01

Economic losses due to natural hazards have shown an upward trend since 1980, which is expected to continue. Recent years have seen a growing worldwide commitment towards the reduction of disaster losses. This requires effective management of disaster risk at all levels, a part of which involves reducing financial vulnerability to disasters ex-ante, ensuring that necessary resources will be available following such events. One way to achieve this is through risk transfer instruments. These can be based on different types of triggers, which determine the conditions under which payouts are made after an event. This study focuses on parametric triggers, where payouts are determined by the occurrence of an event exceeding specified physical parameters at a given location, or at multiple locations, or over a region. This type of product offers a number of important advantages, and its adoption is increasing. The main drawback of parametric triggers is their susceptibility to basis risk, which arises when there is a mismatch between triggered payouts and the occurrence of loss events. This is unavoidable in said programmes, as their calibration is based on models containing a number of different sources of uncertainty. Thus, a deterministic definition of the loss event triggering parameters appears flawed. However, often for simplicity, this is the way in which most parametric models tend to be developed. This study therefore presents an innovative probabilistic strategy for parametric catastrophe insurance. It is advantageous as it recognizes uncertainties and minimizes basis risk while maintaining a simple and transparent procedure. A logistic regression model is constructed here to represent the occurrence of loss events based on certain loss index variables, obtained through the transformation of input environmental variables. Flood-related losses due to rainfall are studied. The resulting model is able, for any given day, to issue probabilities of occurrence of loss

7 CFR 760.812 - Production losses; participant responsibility.

Science.gov (United States)

2010-01-01

... 7 Agriculture 7 2010-01-01 2010-01-01 false Production losses; participant responsibility. 760.812....812 Production losses; participant responsibility. (a) Where available and determined accurate by FSA, RMA loss records will be used for insured crops. (b) If RMA loss records are not available, or if the...

Estimating dual deposit insurance premium rates and forecasting non-performing loans: Two new models

OpenAIRE

Yoshino, Naoyuki; Taghizadeh-Hesary, Farhad; Nili, Farhad

2015-01-01

Risky banks that endanger the stability of the financial system should pay higher deposit insurance premiums than healthy banks and other financial institutions that have shown good financial performance. It is necessary, therefore, to have at least a dual fair premium rate system. In this paper, we develop a model for calculating dual fair premium rates. Our definition of a fair premium rate in this paper is a rate that could cover the operational expenditures of the deposit insuring organiz...

COMPARATIVE STUDY ON MAIN SOLVENCY ASSESSMENT MODELS FOR INSURANCE FIELD

Directory of Open Access Journals (Sweden)

Daniela Nicoleta SAHLIAN

2015-07-01

Full Text Available During the recent financial crisis of insurance domain, there were imposed new aspects that have to be taken into account concerning the risks management and surveillance activity. The insurance societies could develop internal models in order to determine the minimum capital requirement imposed by the new regulations that are to be adopted on 1 January 2016. In this respect, the purpose of this research paper is to offer a real presentation and comparing with the main solvency regulation systems used worldwide, the accent being on their common characteristics and current tendencies. Thereby, we would like to offer a better understanding of the similarities and differences between the existent solvency regimes in order to develop the best regime of solvency for Romania within the Solvency II project. The study will show that there are clear differences between the existent Solvency I regime and the new approaches based on risk and will also point out the fact that even the key principles supporting the new solvency regimes are convergent, there are a lot of approaches for the application of these principles. In this context, the question we would try to find the answer is "how could the global solvency models be useful for the financial surveillance authority of Romania for the implementation of general model and for the development of internal solvency models according to the requirements of Solvency II" and "which would be the requirements for the implementation of this type of approach?". This thing makes the analysis of solvency models an interesting exercise.

The insurance of climatic risks

International Nuclear Information System (INIS)

Pauthier, Alice

2015-06-01

The United Nations Environment Programme assesses that the cost of adaptation to climate change could reach 150 billions dollars per year by 2025-2030 and 500 billions dollars by 2050. This raises the issues of financing of adaptation measures, and of compensations in case of natural disaster, and insurance companies here seem to have a major role to play. However, the modification of the climatic risk puts the viability of conventional insurance mechanisms into question again. While discussing these issues, the author outlines that a sustainable insurance against these evolving risks may threaten insurance companies to go to bankrupt, but also all their policyholders who are, for most of them, unable to cope by themselves with the consequences of an extreme climatic event. The author also discusses related aspects such as risk modelling, risk mutualization, a securing of insurance companies based on the financial market, the implementation of public-private partnership, and ways to insure climate anomalies. She also comments the commitment of the insurance sector in adaptation and mitigation policies

Survey of social health insurance structure in selected countries; providing framework for basic health insurance in Iran.

Science.gov (United States)

Mohammadi, Effat; Raissi, Ahmad Reza; Barooni, Mohsen; Ferdoosi, Massoud; Nuhi, Mojtaba

2014-01-01

Health system reforms are the most strategic issue that has been seriously considered in healthcare systems in order to reduce costs and increase efficiency and effectiveness. The costs of health system finance in our country, lack of universal coverage in health insurance, and related issues necessitate reforms in our health system financing. The aim of this research was to prepare a structure of framework for social health insurance in Iran and conducting a comparative study in selected countries with social health insurance. This comparative descriptive study was conducted in three phases. The first phase of the study examined the structure of health social insurance in four countries - Germany, South Korea, Egypt, and Australia. The second phase was to develop an initial model, which was designed to determine the shared and distinguishing points of the investigated structures, for health insurance in Iran. The third phase was to validate the final research model. The developed model by the Delphi method was given to 20 professionals in financing of the health system, health economics and management of healthcare services. Their comments were collected in two stages and its validity was confirmed. The study of the structure of health insurance in the selected countries shows that health social insurance in different countries have different structures. Based on the findings of the present study, the current situation of the health system, and the conducted surveys, the following framework is suitable for the health social insurance system in Iran. The Health Social Insurance Organization has a unique service by having five funds of governmental employees, companies and NGOs, self-insured, villagers, and others, which serves as a nongovernmental organization under the supervision of public law and by decision- and policy-making of the Health Insurance Supreme Council. Membership in this organization is based on the nationality or residence, which the insured by

Stochastic Cooperative Games in Insurance and Reinsurance

NARCIS (Netherlands)

Suijs, J.P.M.; De Waegenaere, A.M.B.; Borm, P.E.M.

1996-01-01

This paper shows how problems in `non life'-insurance and `non life'-reinsurance can be modelled simultaneously as cooperative games with stochastic payoffs.Pareto optimal allocations of the risks faced by the insurers and the insureds are determined.It is shown that the core of the corresponding

Global Hail Model

Science.gov (United States)

Werner, A.; Sanderson, M.; Hand, W.; Blyth, A.; Groenemeijer, P.; Kunz, M.; Puskeiler, M.; Saville, G.; Michel, G.

2012-04-01

Hail risk models are rare for the insurance industry. This is opposed to the fact that average annual hail losses can be large and hail dominates losses for many motor portfolios worldwide. Insufficient observational data, high spatio-temporal variability and data inhomogenity have hindered creation of credible models so far. In January 2012, a selected group of hail experts met at Willis in London in order to discuss ways to model hail risk at various scales. Discussions aimed at improving our understanding of hail occurrence and severity, and covered recent progress in the understanding of microphysical processes and climatological behaviour and hail vulnerability. The final outcome of the meeting was the formation of a global hail risk model initiative and the launch of a realistic global hail model in order to assess hail loss occurrence and severities for the globe. The following projects will be tackled: Microphysics of Hail and hail severity measures: Understand the physical drivers of hail and hailstone size development in different regions on the globe. Proposed factors include updraft and supercooled liquid water content in the troposphere. What are the thresholds drivers of hail formation around the globe? Hail Climatology: Consider ways to build a realistic global climatological set of hail events based on physical parameters including spatial variations in total availability of moisture, aerosols, among others, and using neural networks. Vulnerability, Exposure, and financial model: Use historical losses and event footprints available in the insurance market to approximate fragility distributions and damage potential for various hail sizes for property, motor, and agricultural business. Propagate uncertainty distributions and consider effects of policy conditions along with aggregating and disaggregating exposure and losses. This presentation provides an overview of ideas and tasks that lead towards a comprehensive global understanding of hail risk for

24 CFR 266.602 - Mortgage insurance premium: Insured advances.

Science.gov (United States)

2010-04-01

... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Mortgage insurance premium: Insured... Contract Rights and Obligations Mortgage Insurance Premiums § 266.602 Mortgage insurance premium: Insured.... On each anniversary of the initial closing, the HFA shall pay an interim mortgage insurance premium...

Business Cycle Dependent Unemployment Insurance

DEFF Research Database (Denmark)

Andersen, Torben M.; Svarer, Michael

The consequences of business cycle contingencies in unemployment insurance systems are considered in a search-matching model allowing for shifts between "good" and "bad" states of nature. We show that not only is there an insurance argument for such contingencies, but there may also be an incentive...

Are tax subsidies for private medical insurance self-financing? Evidence from a microsimulation model.

Science.gov (United States)

López Nicolás, Angel; Vera-Hernández, Marcos

2008-09-01

This paper develops an empirical strategy to estimate whether subsidies to private medical insurance are self-financing in countries where public and private insurance coexist and the latter covers the same treatments as the former. We construct a simulation routine based on a micro-econometric discrete choice model that allows us to evaluate the impact of premium changes on the utilization of outpatient and inpatient health care services. As an application, we estimate the budgetary effects of scrapping a subsidy from the purchase of individual private policies, using micro-data from Catalonia. Our results suggest that the subsidy is not self-financing. This result is driven by the fact that private medical insurance holders make concurrent use of public and private services, and by the price inelasticity of the demand for private policies.

Medical Progress and Supplementary Private Health Insurance

OpenAIRE

Reiner Leidl

2003-01-01

In many welfare states, tightening financial constraints suggest excluding some medical services, including new ones, from social security coverage. This may create opportunities for private health insurance. This study analyses the performance of supplementary private health insurance (SPHI) in markets for excluded services in terms of population covered, risk selection and insurer profits. Using a utility-based simulation model, the insurance market is described as a composite of sub-market...

An Application of EVT, GPD and POT Methods in the Albanian Insurance Market

Directory of Open Access Journals (Sweden)

Enkeleda Shehi

2015-03-01

Full Text Available Despite its relatively fast development, the insurance sector in Albania suffers from laco of experience, and lack of a database with historical records to make risk assessments feasible and to enable risk calculation. Consequently the newly established companies that operate in the insurance market in Albania cope with difficulties to make accurate calculations of reinsurance premium, i.e. the premium paid by a ceding company to an reinsurer in exchange of the liability assumed by the reinsurer. Given the situation, this research paper aims to provide an alternative way to make pure premium estimations. We have taken in consideration a dataset of fire insurance and other perils' claims, which have taken place in the Albanian insurance market during 2007 t 2014 period. Prices have been inflated to take into account the inflation of the period. There are n=401 fire insurance and other peril losses, the largest of them is Euro 1.203.798, the average is 20.156 Euro and the standard deviation is s= 83.037 Euro. The skewness coefficient of 9,94, indicates that the right tail is heavy, with considerable scope for llarge losses.

SPATIO-TEMPORAL MODELING OF AGRICULTURAL YIELD DATA WITH AN APPLICATION TO PRICING CROP INSURANCE CONTRACTS

Science.gov (United States)

Ozaki, Vitor A.; Ghosh, Sujit K.; Goodwin, Barry K.; Shirota, Ricardo

2009-01-01

This article presents a statistical model of agricultural yield data based on a set of hierarchical Bayesian models that allows joint modeling of temporal and spatial autocorrelation. This method captures a comprehensive range of the various uncertainties involved in predicting crop insurance premium rates as opposed to the more traditional ad hoc, two-stage methods that are typically based on independent estimation and prediction. A panel data set of county-average yield data was analyzed for 290 counties in the State of Paraná (Brazil) for the period of 1990 through 2002. Posterior predictive criteria are used to evaluate different model specifications. This article provides substantial improvements in the statistical and actuarial methods often applied to the calculation of insurance premium rates. These improvements are especially relevant to situations where data are limited. PMID:19890450

C.A.R. insurance and its significance in the construction of power plants

International Nuclear Information System (INIS)

Friedrich, J.

1975-01-01

The construction of a power lant entails a multitude of risks for the operator and for all parties participating in the construction. The progress of construction technology, reduced manufacturing times and new construction materials and methods result in greater risks. As a property insurance, C.A.R. insurance covers unforeseen destruction of or damage to the construction works from commencement of construction until handling over. It is thereby irrelevant whether such loss or damage falls to the burden of the principal or the contractors and craftsmen. In the event of loss or damage occurring, the search for those responsible is thus eliminated. Rectification of the loss or damage and continuation of the work is not delayed. (orig.) [de

How to reduce your fire insurance rates

Science.gov (United States)

Dubain, M.

1971-01-01

Construction procedures and utilization of materials to reduce the cost of insuring large buildings against losses from fire are discussed. Examples of good and bad techniques in building construction and fire safety management are provided. The inadequacies of building codes and the hazards resulting from improper construction are examined.

Health insurance and use of medical services by men infected with HIV.

Science.gov (United States)

Katz, M H; Chang, S W; Buchbinder, S P; Hessol, N A; O'Malley, P; Doll, L S

1995-01-01

Among 178 HIV-infected men from the San Francisco City Clinic Cohort (SFCCC), we examined the association between health insurance and use of outpatient services and treatment. For men with private insurance, we also assessed the frequency of avoiding the use of health insurance. Men without private insurance reported fewer outpatient visits than men with fee-for-service or managed-care plans. Use of zidovudine for eligible men was similar for those with fee-for-service plans (74%), managed-care plans (77%), or no insurance (61%). Use of Pneumocytstis carinii pneumonia prophylaxis was similar for those with fee-for-service (93%) and managed-care plans (83%) but lower for those with no insurance (63%). Of 149 men with private insurance, 31 (21%) reported that they had avoided using their health insurance for medical expenses in the previous year. In multivariate analysis, the independent predictors of avoiding the use of insurance were working for a small company and living outside the San Francisco Bay Area. Having private insurance resulted in higher use of outpatient services, but the type of private insurance did not appear to affect the use of service or treatment. Fears of loss of coverage and confidentiality may negate some benefits of health insurance for HIV-infected persons.

AN ANALYSIS ON THE DECISION MODEL OF SMART PLUS INSURANCE PRODUCT PURCHASE

Directory of Open Access Journals (Sweden)

Fitry Primadona

2016-09-01

Full Text Available The purposes of this study were 1 to analyze the decision model of Smart Plus insurance product purchase and 2 to determine the criteria, sub-criteria, and alternative priorities in Smart Plus purchase decision model. The methods utilized in the study included a survey and interview (in-depth interview by using an AHP analysis (Analytical Hierarchy Process and processing software of "Expert Choice". The result of the first analysis indicated the four marketing mixes that had been performed (Price, Product, Process, and Place; while the second one showed that the purchase of Smart Plus product is based on the factors with the level of interest as follow: benefit (36.3%, premium (35.7%, membership process (14.6%, and provider (13.4%. The result of the second analysis revealed the important sub-criteria including premium offer, additional benefits, membership card, and temporary certificate from the medical specialist.Keywords: AHP, life insurance, marketing mix, purchase decision

A Maximum Entropy Approach to Loss Distribution Analysis

Directory of Open Access Journals (Sweden)

Marco Bee

2013-03-01

Full Text Available In this paper we propose an approach to the estimation and simulation of loss distributions based on Maximum Entropy (ME, a non-parametric technique that maximizes the Shannon entropy of the data under moment constraints. Special cases of the ME density correspond to standard distributions; therefore, this methodology is very general as it nests most classical parametric approaches. Sampling the ME distribution is essential in many contexts, such as loss models constructed via compound distributions. Given the difficulties in carrying out exact simulation,we propose an innovative algorithm, obtained by means of an extension of Adaptive Importance Sampling (AIS, for the approximate simulation of the ME distribution. Several numerical experiments confirm that the AIS-based simulation technique works well, and an application to insurance data gives further insights in the usefulness of the method for modelling, estimating and simulating loss distributions.

SIMULATION OF THE INSURANCE COMPANY’S MARKETING STRATEGY

Directory of Open Access Journals (Sweden)

О. Klepikova

2013-05-01

Full Text Available The article is devoted the development of marketing strategy of the insurance company with using of mathematical modeling of structures. The algorithm was developed for calculating the coefficient of “probability of insurance policy acquisition” which accumulates the influence of factors related to the feature of providing insurance services and financial activities of the insurance company.

An Auditory Model with Hearing Loss

DEFF Research Database (Denmark)

Nielsen, Lars Bramsløw

An auditory model based on the psychophysics of hearing has been developed and tested. The model simulates the normal ear or an impaired ear with a given hearing loss. Based on reviews of the current literature, the frequency selectivity and loudness growth as functions of threshold and stimulus...... level have been found and implemented in the model. The auditory model was verified against selected results from the literature, and it was confirmed that the normal spread of masking and loudness growth could be simulated in the model. The effects of hearing loss on these parameters was also...... in qualitative agreement with recent findings. The temporal properties of the ear have currently not been included in the model. As an example of a real-world application of the model, loudness spectrograms for a speech utterance were presented. By introducing hearing loss, the speech sounds became less audible...

PARAMETRIC DISTRIBUTION FAMILIES USEFUL FOR MODELLING NON - LIFE INSURANCE PAYMENTS DATA. TAIL BEHAVIOUR

Directory of Open Access Journals (Sweden)

Sandra Teodorescu

2013-11-01

Full Text Available The present paper describes a series of parametric distributions used for modeling non-life insurance payments data.Of those listed, special attention is paid to the transformed Beta distribution family.This distribution as well as those which are obtained from it(special cases of four-parameter transformed Beta distribution are used in the modeling of high costs, or even extreme ones.In the literature it follows the tail behaviour of distributions depending on the parameters, because the insurance payments data are tipically highly positively skewed and distributed with large upper tails.In the paper is described the tail behavior of the distribution in the left and right side respectively, and deduced from it, a general case.There are also some graphs of probability density function for one of the transformed Beta family members, which comes to reinforce the comments made.

CATASTROPHIC EVENTS MODELING

Directory of Open Access Journals (Sweden)

Ciumas Cristina

2013-07-01

Full Text Available This paper presents the emergence and evolution of catastrophe models (cat models. Starting with the present context of extreme weather events and features of catastrophic risk (cat risk we’ll make a chronological illustration from a theoretical point of view of the main steps taken for building such models. In this way the importance of interdisciplinary can be observed. The first cat model considered contains three modules. For each of these indentified modules: hazard, vulnerability and financial losses a detailed overview and also an exemplification of a potential case of an earthquake that measures more than 7 on Richter scale occurring nowadays in Bucharest will be provided. The key areas exposed to earthquake in Romania will be identified. Then, based on past catastrophe data and taking into account present conditions of housing stock, insurance coverage and the population of Bucharest the impact will be quantified by determining potential losses. In order to accomplish this work we consider a scenario with data representing average values for: dwelling’s surface, location, finishing works. On each step we’ll make a reference to the earthquake on March 4 1977 to see what would happen today if a similar event occurred. The value of Bucharest housing stock will be determined taking firstly the market value, then the replacement value and ultimately the real value to quantify potential damages. Through this approach we can find the insurance coverage of potential losses and also the uncovered gap. A solution that may be taken into account by public authorities, for example by Bucharest City Hall will be offered: in case such an event occurs the impossibility of paying compensations to insured people, rebuilding infrastructure and public buildings and helping the suffering persons should be avoided. An actively public-private partnership should be created between government authorities, the Natural Disaster Insurance Pool, private

On a Stochastic Model in Insurance

Indian Academy of Sciences (India)

day is considered a part of applied probability theory, and a major portion ... claims that arrive in an insurance business, and decide ... Study of probability of ruin and obtaining ...... An important development of late is to consider claim sizes that ...

Health Insurance and Risk of Divorce: Does Having Your Own Insurance Matter?

Science.gov (United States)

Sohn, Heeju

2016-01-01

Most American adults under 65 obtain health insurance through their employers or their spouses’ employers. The absence of a universal healthcare system in the United States puts Americans at considerable risk for losing their coverage when transitioning out of jobs or marriages. Scholars have found evidence of reduced job mobility among individuals who are dependent on their employers for healthcare coverage. This paper finds similar relationships between insurance and divorce. I apply the hazard model to married individuals in the longitudinal Survey of Income Program Participation (N=17,388) and find lower divorce rates among people who are insured through their partners’ plans without alternative sources of their own. Furthermore, I find gender differences in the relationship between healthcare coverage and divorce rates: insurance dependent women have lower rates of divorce than men in similar situations. These findings draw attention to the importance of considering family processes when debating and evaluating health policies. PMID:26949269

Abundance in Capital: Global Risk Sharing and Insurance in a Changing Financial Environment

Science.gov (United States)

Michel, Gero; Schaper, Christopher

2014-05-01

Insurance has played a viable role in the hedging of homeowners and commercial risks around the world. Countries that have significant penetration in insurance have in addition performed better after large regional or over-regional catastrophic losses. Insurance has hence increased the resilience of western societies. This is opposed to emerging or developing markets with low insurance penetration which have suffered significant drawbacks in their development after large catastrophic events. Examples include the recent Typhoon(s) in the Philippines and the 2010 Haiti earthquake. This presentation will provide insights into the opportunities, views and risk management features a global reinsurance company must assume in order to hedge and mitigate risk across the world. During the past year, an unprecedented amount of new capital has been entering the insurance market, looking for profitable investments outside the much wider capital market. Catastrophe insurance is seen as a valuable alternative to investing in assets that that have shown low returns and high correlation in the recent financial meltdown. The new capital is mostly deployed - or competing with already deployed capital - in the US where insurance penetration is already high. This is opposed to more than half of the world including all developing and most emerging countries which have low insurance penetration and often lack infrastructure hindering new capital to be deployed effectively. What is needed to overcome this obvious deficiency in capital supply and demand? One reason why it is difficult to deploy capital in developing countries is the lack of available exposure information and catastrophe models. This presentation sheds light on the potential science needs of our market and gives an overview of what is being done at Montpelier, a global reinsurance company, to understand catastrophe risk around the globe.

24 CFR 207.252a - Premiums-operating loss loans.

Science.gov (United States)

2010-04-01

... Premiums—operating loss loans. (a) The mortgagee, upon the insurance endorsement of the increase loan credit instrument covering the operating loss loan, shall pay to the Commissioner a first mortgage...

Insuring against Health Shocks: Health Insurance and Household Choices

OpenAIRE

Liu, Kai

2015-01-01

This paper provides empirical evidence on the role of public health insurance in mitigating adverse outcomes associated with health shocks. Exploiting the rollout of a universal health insurance program in rural China, I find that total household income and consumption are fully insured against health shocks even without access to health insurance. Household labor supply is an important insurance mechanism against health shocks. Access to health insurance helps households to maintain investme...

On 1-convexity and nucleolus of co-insurance games

NARCIS (Netherlands)

Driessen, Theo; Fragnelli, Vito; Katsev, Ilya V.; Khmelnitskaya, Anna Borisovna

The situation, in which an enormous risk is insured by a number of insurance companies, is modeled through a cooperative TU game, the so-called co-insurance game, first introduced in Fragnelli and Marina (2004). In this paper we show that a co-insurance game possesses several interesting properties

Market Discipline and Deposit Insurance

OpenAIRE

Peresetsky, Anatoly

2008-01-01

The paper examines Russian banks’ household deposit interest rates for the transition period of setting up the deposit insurance system. Monthly observations of Russian banks’ interest rates and balance sheets are used in a fixed effects panel data model. It is shown market discipline has been significantly diminished after switching to the deposit insurance.

Estimation of a hedonic pricing model for Medigap insurance.

Science.gov (United States)

Robst, John

2006-12-01

This paper uses a unique database to examine premiums paid by beneficiaries for Medigap supplemental coverage. Average premiums charged by insurers are reported, as well as premiums by enrollee age and gender, and additional policy characteristics. Marginal prices for Medigap benefits are estimated using hedonic price regressions. In addition, the paper considers how additional policy characteristics and geographic differences in the use and cost of medical care affect premiums. A comprehensive database on premiums paid by beneficiaries for newly issued Medigap policies in the year 2000 along with state-level characteristics. Hedonic pricing equations are used to estimate implicit prices for Medigap benefits. The Centers for Medicare & Medicaid Services contracted for the creation of a detailed database on Medigap premiums. Data were collected in three stages. First, letters were sent directly to insurers requesting premium data. Second, letters were directly to state insurance commissioner's offices requesting premium data. Last, each state insurance commissioner's office was visited to collect missing data. With the exceptions of the part B deductible and drug benefit, Medigap supplemental insurance is priced consistent with the actuarial value of benefits offered under the standardized plans. Premiums vary substantially based on rating method, whether the policy is guaranteed issue, Medigap Select, or explicitly for smokers. Premiums increase with enrollee age, but do not vary between men and women. The relationship between premiums and enrollee age varies across rating methods. Attained-age policies show the strongest relationship between age and premiums, while community-rated premiums, by definition, do not vary with age. Medigap supplemental insurance premiums are higher in states with poorer health, greater utilization, and greater managed care penetration. Despite the high cost, Medigap plans are generally priced in accordance with the actuarial value of

Estimation of a Hedonic Pricing Model for Medigap Insurance

Science.gov (United States)

Robst, John

2006-01-01

Objective This paper uses a unique database to examine premiums paid by beneficiaries for Medigap supplemental coverage. Average premiums charged by insurers are reported, as well as premiums by enrollee age and gender, and additional policy characteristics. Marginal prices for Medigap benefits are estimated using hedonic price regressions. In addition, the paper considers how additional policy characteristics and geographic differences in the use and cost of medical care affect premiums. Data Sources/Study Setting A comprehensive database on premiums paid by beneficiaries for newly issued Medigap policies in the year 2000 along with state-level characteristics. Study Design Hedonic pricing equations are used to estimate implicit prices for Medigap benefits. Data Collection/Extraction Methods The Centers for Medicare & Medicaid Services contracted for the creation of a detailed database on Medigap premiums. Data were collected in three stages. First, letters were sent directly to insurers requesting premium data. Second, letters were directly to state insurance commissioner's offices requesting premium data. Last, each state insurance commissioner's office was visited to collect missing data. Principal Findings With the exceptions of the part B deductible and drug benefit, Medigap supplemental insurance is priced consistent with the actuarial value of benefits offered under the standardized plans. Premiums vary substantially based on rating method, whether the policy is guaranteed issue, Medigap Select, or explicitly for smokers. Premiums increase with enrollee age, but do not vary between men and women. The relationship between premiums and enrollee age varies across rating methods. Attained-age policies show the strongest relationship between age and premiums, while community-rated premiums, by definition, do not vary with age. Medigap supplemental insurance premiums are higher in states with poorer health, greater utilization, and greater managed care

The prerequisites of development of voluntary insurance in the Altai territory

Directory of Open Access Journals (Sweden)

Natalya Borisovna Grishenko

2014-06-01

Full Text Available Questions of the insurance market development concern one of the priorities as increase the efficiency of the financial resources use of all subjects of economy. It gives the possibility to save the budgetary funds at the covering of losses from catastrophic situations, compensate the industrial and other risks to the corporations, as well as increase the responsibility of the citizens. This article is devoted to the search of the directions of voluntary insurance development in the Russian Federation and the Altai territory. On the basis of the study of the major factors having impact on processes of insurance, it is offered to define the most significant of them for the future forecasting. This study allows to reveal the different macro- and microeconomic factors, which may become growth points for the insurance market. The particular attention paid to the specifics of the insurance development at a particular region

Understanding Insurance Salesperson Internet Information Management Intentions: A Test of Competing Models

OpenAIRE

Kevin Celuch; Steven A. Taylor; Stephen Goodwin

2004-01-01

The present research compares two attitudinal models adapted from the Theory of Reasoned Action (TORA), which includes attitude and subjective norm components, and the Theory of Planned Behavior (TOPB), which includes TORA facets and also examines a decomposed perceived behavioral control construct that consists of self-efficacy and perceived control. Data from over 700 salespersons of a medium sized, national insurance/financial services company are used to explore the models using structura...

Model parameter uncertainty analysis for annual field-scale P loss model

Science.gov (United States)

Phosphorous (P) loss models are important tools for developing and evaluating conservation practices aimed at reducing P losses from agricultural fields. All P loss models, however, have an inherent amount of uncertainty associated with them. In this study, we conducted an uncertainty analysis with ...

Health insurance in South Africa: an empirical analysis of trends in risk-pooling and efficiency following deregulation.

Science.gov (United States)

Söderlund, N; Hansl, B

2000-12-01

This paper reports an empirical investigation into the pattern of private health insurance coverage in South Africa before and after deregulation of the health insurance industry. More specifically, we sought to measure trends in risk-pooling over the period 1985-95, and to assess the impact of risk pooling on the costs of health insurance cover over this period. South African mutual health insurers (Medical Schemes) have existed for over 100 years, and have been regulated under a specific Act since 1967. Up until 1989, health insurers were required by law to community rate their premiums, and were not allowed to exclude high-risk enrolees from cover. In 1989 these regulations were removed, effectively allowing health insurers to risk-rate the cover which they provided, and exclude 'medically uninsurables'. Data were obtained from the office of the health insurance regulator (the Registrar of Medical Schemes) for the period 1985-95, and consisted of the statutory returns from all registered medical schemes for each year during the study period. Multiple regression methods were used to assess the determinants of changes in the risk pools of insurers, and their costs. Both cross-sectional and longitudinal models were estimated. Unadjusted data suggest changes in risk-pooling since the deregulation period after 1985. Health insurers with open enrolment had worse than average risk profiles in the 1980s, but this reversed by the early 1990s, leaving them with significantly better risk profiles by 1995. Worsening risk profiles were associated with decreasing fund size, higher loss-ratios and past premium increases. Most models showed that risk rating of premiums was consistently associated with higher premiums, after adjustment for risk, quality, scale and other environmental differences between insurers. Likely explanations include the additional costs required for marketing and underwriting risk-rated policies, insufficient incentives to use cost-control techniques

Insuring against health shocks: Health insurance and household choices.

Science.gov (United States)

Liu, Kai

2016-03-01

This paper provides empirical evidence on the role of public health insurance in mitigating adverse outcomes associated with health shocks. Exploiting the rollout of a universal health insurance program in rural China, I find that total household income and consumption are fully insured against health shocks even without access to health insurance. Household labor supply is an important insurance mechanism against health shocks. Access to health insurance helps households to maintain investment in children's human capital during negative health shocks, which suggests that one benefit of health insurance could arise from reducing the use of costly smoothing mechanisms. Copyright © 2016 Elsevier B.V. All rights reserved.

Financial risk protection from social health insurance.

Science.gov (United States)

Barnes, Kayleigh; Mukherji, Arnab; Mullen, Patrick; Sood, Neeraj

2017-09-01

This paper estimates the impact of social health insurance on financial risk by utilizing data from a natural experiment created by the phased roll-out of a social health insurance program for the poor in India. We estimate the distributional impact of insurance on of out-of-pocket costs and incorporate these results with a stylized expected utility model to compute associated welfare effects. We adjust the standard model, accounting for conditions of developing countries by incorporating consumption floors, informal borrowing, and asset selling which allow us to separate the value of financial risk reduction from consumption smoothing and asset protection. Results show that insurance reduces out-of-pocket costs, particularly in higher quantiles of the distribution. We find reductions in the frequency and amount of money borrowed for health reasons. Finally, we find that the value of financial risk reduction outweighs total per household costs of the insurance program by two to five times. Copyright © 2017. Published by Elsevier B.V.

Incentive-compatible guaranteed renewable health insurance premiums.

Science.gov (United States)

Herring, Bradley; Pauly, Mark V

2006-05-01

Theoretical models of guaranteed renewable insurance display front-loaded premium schedules. Such schedules both cover lifetime total claims of low-risk and high-risk individuals and provide an incentive for those who remain low-risk to continue to purchase the policy. Questions have been raised of whether actual individual insurance markets in the US approximate the behavior predicted by these models, both because young consumers may not be able to "afford" front-loading and because insurers may behave strategically in ways that erode the value of protection against risk reclassification. In this paper, the optimal competitive age-based premium schedule for a benchmark guaranteed renewable health insurance policy is estimated using medical expenditure data. Several factors are shown to reduce the amount of front-loading necessary. Indeed, the resulting optimal premium path increases with age. Actual premium paths exhibited by purchasers of individual insurance are close to the optimal renewable schedule we estimate. Finally, consumer utility associated with the feature is examined.

The Big Five Health Insurers' Membership And Revenue Trends: Implications For Public Policy.

Science.gov (United States)

Schoen, Cathy; Collins, Sara R

2017-12-01

The five largest US commercial health insurance companies together enroll 125 million members, or 43 percent of the country's insured population. Over the past decade these insurers have become increasingly dependent for growth and profitability on public programs, according to an analysis of corporate reports. In 2016 Medicare and Medicaid accounted for nearly 60 percent of the companies' health care revenues and 20 percent of their comprehensive plan membership. Although headlines have focused on losses in the state Marketplaces created by the Affordable Care Act (ACA), the Marketplaces represent only a small fraction of insurers' members. Overall, the five largest insurers have remained profitable since passage of the ACA as a result of profits in other market segments. Notably, companies with significant Medicare or Medicaid enrollment have continued to insure beneficiaries in states where the insurers do not participate in Marketplaces. Given the insurers' dependence on public programs, there is potential to improve access if federal or state governments, or both, required insurers that participate in Medicare or Medicaid to also participate in the Marketplaces in the same geographic area. Such requirements could ensure more viable and less volatile insurance, benefiting people insured within each market as well as those who cycle on and off public and private insurance.

Dynamic pricing of general insurance in a competitive market

OpenAIRE

Emms, P.

2006-01-01

A model for general insurance pricing is developed which represents a stochastic generalisation of the discrete model proposed by Taylor (1986). This model determines the insurance premium based both on the breakeven premium and the competing premiums offered by the rest of the insurance market. The optimal premium is determined using stochastic optimal control theory for two objective functions in order to examine how the optimal premium strategy changes with the insurer’s objective. Each of...

Powerful agent of change? The global insurance industry as a driver for greenhouse mitigation and adaptation

International Nuclear Information System (INIS)

Phelan, Liam; Taplin, Ros

2007-01-01

Full text: This paper explores the potential for the gloPal insurance industry to play a powerful and constructive role towards significant reductions in greenhouse gas emissions as well as in climate change adaptation. Climate change presents a formidable public policy challenge (IPCC 2001) and one to which sections of the insurance industry have been responsive (Mills 2005). The industry can be expected to play a further constructive role for three reasons: the industry has core capacities in risk management and loss prevention; the industry is the world's largest with annual income in the order of US$3.4 trillion derived from premiums and US$1 trillion derived from investments; and anthropogenic climate change is constricting limits to insurability, with implications for the ongoing functioning of the insurance sector (Mills and Lecomte 2006). Insurance understood as a social institution is both a crucial component of contemporary socio-economic systems and a powerful agent of socio-economic change (Pfeffer and Klock 1974, Denenberg et al. 1964). The ability to transfer risk historically has played a major facilitative role in economic and social development at the broadest scales of human socio-economic systems (Supple 1984; Clark 1999). Governments historically and currently explicitly harness the potential of insurance in support of specific public policy outcomes. The creation of the modern welfare state is a public policy objective on a grand scale achieved in part through application of insurance, in the form of universal health care and pensions (Lengwiler2003). The insurance industry itself also initiates significant socioeconomic change in three ways: direct engagement, for example by establishing the first fire brigades (Kline 1964a); loss prevention research, for example by conducting and financing research into building and vehicle safety (Mills and Lecomte 2006; Kline 1964b); and engaging in lobbying for implementation of safety standards (Kline

Optimal reinsurance with one insurer and multiple reinsurers

NARCIS (Netherlands)

Boonen, T.; Tan, K.S.; Zhuang, S.C.

2015-01-01

In this paper, we consider a one-period optimal reinsurance design model with n reinsurers and an insurer. For very general preferences of the insurer, we obtain that there exists a very intuitive pricing formula for all reinsurers that use a distortion premium principle. The insurer determines its

Early Experience of Financial Performance and Solvency of Medicaid-Focused Insurers Under ACA Expansion.

Science.gov (United States)

McCue, Michael J

2017-12-01

To allow for greater coverage of the uninsured, the Affordable Care Act expanded Medicaid coverage in 2014. Accessing financial data of state health insurers from the National Association of Insurance Commissioners, this data trend study compares the financial performance and solvency of Medicaid-focused health insurers prior to and after the first year expansion of Medicaid coverage. After the first year of Medicaid expansion, there was a significant increase in operating profit margin ratio for Medicaid-focused health insurers within expansion states. Lower medical loss ratio as well as no change in administrative costs contributed to this profitable position. The risk-based capital ratio for solvency increased significantly for health insurers in nonexpansion states while there was no change in this ratio for health insurers in expansion states. Conversely, the other important solvency ratio of cash flow margin increased significantly for health insurers in expansion states but not for insurers in nonexpansion states.

Exploring health insurance services in Sudan from the perspectives of insurers.

Science.gov (United States)

Salim, Anas Mustafa Ahmed; Hamed, Fatima Hashim Mahmoud

2018-01-01

It has been 20 years since the introduction of health insurance in Sudan. This study was the first one that explored health insurance services in Sudan from the perspectives of the insurers. This was a qualitative, exploratory, interview study. The sampling frame was the list of Social Health Insurance and Private Health Insurance institutions in Sudan. Participants were selected from the four Social Health Insurance institutions and from five Private Health Insurance companies. The study was conducted in January and February 2017. In-depth individual interviews were conducted with a convenient sample of key executives from the different health insurers. Ideas and themes were identified and analysed using thematic analysis. The result showed that universal coverage was not achieved despite long time presence of Social Health Insurance and Private Health Insurance in Sudan. All participants described their services as comprehensive. All participants have good perception of the quality of the services they provide, although none of them investigated customer satisfaction. The main challenges facing Social Health Insurance are achieving universal coverage, ensuring sustainability and recruitment of the informal sector and self-employed population. Consumers' affordability of the premiums is the main obstacle for Private Health Insurance, while rising healthcare cost due to economic inflation is a challenge facing both Social Health Insurance and Private Health Insurance. In spite of the presence of Social Health Insurance and Private Health Insurance in Sudan, the country is still far from achieving universal coverage. Moreover, the sustainability of health insurance is questionable. The main reasons include low governmental financial resources and lack of affordability by beneficiaries especially for Private Health Insurance. This necessitates finding solutions to improve them or trying other types of health insurance. The quality of services provided by Social

Risk segmentation in Chilean social health insurance.

Science.gov (United States)

Hidalgo, Hector; Chipulu, Maxwell; Ojiako, Udechukwu

2013-01-01

The objective of this study is to identify how risk and social variables are likely to be impacted by an increase in private sector participation in health insurance provision. The study focuses on the Chilean health insurance industry, traditionally dominated by the public sector. Predictive risk modelling is conducted using a database containing over 250,000 health insurance policy records provided by the Superintendence of Health of Chile. Although perceived with suspicion in some circles, risk segmentation serves as a rational approach to risk management from a resource perspective. The variables that have considerable impact on insurance claims include the number of dependents, gender, wages and the duration a claimant has been a customer. As shown in the case study, to ensure that social benefits are realised, increased private sector participation in health insurance must be augmented by regulatory oversight and vigilance. As it is clear that a "community-rated" health insurance provision philosophy impacts on insurance firm's ability to charge "market" prices for insurance provision, the authors explore whether risk segmentation is a feasible means of predicting insurance claim behaviour in Chile's private health insurance industry.

26 CFR 1.803-1 - Life insurance reserves.

Science.gov (United States)

2010-04-01

... reserves” is defined in section 803(b). Generally, such reserves, as in the case of level premium life... covered by the premiums are not included in life insurance reserves. Unpaid loss reserves for... do they include the net value of risks reinsured in other solvent companies; liability for premiums...

24 CFR 266.600 - Mortgage insurance premium: Insurance upon completion.

Science.gov (United States)

2010-04-01

... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Mortgage insurance premium... MULTIFAMILY PROJECT LOANS Contract Rights and Obligations Mortgage Insurance Premiums § 266.600 Mortgage insurance premium: Insurance upon completion. (a) Initial premium. For projects insured upon completion, on...

Climate Change Impacts on pricing Long-Term Flood Insurance: A Comprehensive Study for the Netherlands

NARCIS (Netherlands)

Aerts, J.C.J.H.; Botzen, W.J.W.

2011-01-01

Recently long-term flood insurance contracts with a duration of 5, 10 or 15 years have been proposed as a solution for covering flood risk and mitigating increasing flood losses. Establishing a long-term relation between the policyholder and the insurer can provide better incentives to reduce risk

Deflation Risk and Implications for Life Insurers

Directory of Open Access Journals (Sweden)

Jean-François Bégin

2016-12-01

Full Text Available Life insurers are exposed to deflation risk: falling prices could lead to insufficient investment returns, and inflation-indexed protections could make insurers vulnerable to deflation. In this spirit, this paper proposes a market-based methodology for measuring deflation risk based on a discrete framework: the latter accounts for the real interest rate, the inflation index level, its conditional variance, and the expected inflation rate. US inflation data are then used to estimate the model and show the importance of deflation risk. Specifically, the distribution of a fictitious life insurer’s future payments is investigated. We find that the proposed inflation model yields higher risk measures than the ones obtained using competing models, stressing the need for dynamic and market-consistent inflation modelling in the life insurance industry.

Vector Control Using Series Iron Loss Model of Induction, Motors and Power Loss Minimization

OpenAIRE

Kheldoun Aissa; Khodja Djalal Eddine

2009-01-01

The iron loss is a source of detuning in vector controlled induction motor drives if the classical rotor vector controller is used for decoupling. In fact, the field orientation will not be satisfied and the output torque will not truck the reference torque mostly used by Loss Model Controllers (LMCs). In addition, this component of loss, among others, may be excessive if the vector controlled induction motor is driving light loads. In this paper, the series iron loss model ...

Estimating extreme losses for the Florida Public Hurricane Model—part II

Science.gov (United States)

Gulati, Sneh; George, Florence; Hamid, Shahid

2018-02-01

Rising global temperatures are leading to an increase in the number of extreme events and losses (http://www.epa.gov/climatechange/science/indicators/). Accurate estimation of these extreme losses with the intention of protecting themselves against them is critical to insurance companies. In a previous paper, Gulati et al. (2014) discussed probable maximum loss (PML) estimation for the Florida Public Hurricane Loss Model (FPHLM) using parametric and nonparametric methods. In this paper, we investigate the use of semi-parametric methods to do the same. Detailed analysis of the data shows that the annual losses from FPHLM do not tend to be very heavy tailed, and therefore, neither the popular Hill's method nor the moment's estimator work well. However, Pickand's estimator with threshold around the 84th percentile provides a good fit for the extreme quantiles for the losses.

Studies on a Double Poisson-Geometric Insurance Risk Model with Interference

Directory of Open Access Journals (Sweden)

Yujuan Huang

2013-01-01

Full Text Available This paper mainly studies a generalized double Poisson-Geometric insurance risk model. By martingale and stopping time approach, we obtain adjustment coefficient equation, the Lundberg inequality, and the formula for the ruin probability. Also the Laplace transformation of the time when the surplus reaches a given level for the first time is discussed, and the expectation and its variance are obtained. Finally, we give the numerical examples.

76 FR 77442 - Mutual Insurance Holding Company Treated as Insurance Company

Science.gov (United States)

2011-12-13

... insurance industry traces its roots back to England, where, in 1696, the first mutual fire insurer was... FEDERAL DEPOSIT INSURANCE CORPORATION 12 CFR Part 380 RIN 3064-AD89 Mutual Insurance Holding Company Treated as Insurance Company AGENCY: Federal Deposit Insurance Corporation (FDIC). ACTION: Notice...

The assessment of solvency and determination of limits for risk acceptance in insurance companies

Directory of Open Access Journals (Sweden)

Drljača Dejan

2017-01-01

Full Text Available The subject of this paper is the presentation of key requirements for Solvency II project, the methodology for testing of capital adequacy and methods for identification, definition and establishment of risk limits, as a limit for acceptance, bearing and control of exposure to certain risks in insurance companies. The aim of the paper is to show that the capital adequacy is the key factor for insurers' safety, i.e. guarantee of capability of an insurer to settle any future liabilities and leverage for strengthening of insurer's market position. Business operations of insurance companies are exposed to a significant number of risks that differ by their nature, character and influence, due to which adequacy of calculated technical reserves does not provide a satisfactory level of safety in case of more significant impairments of assets and funds of insurers, as well as in case of significant deviations between amounts of settled claims and actuarially expected amounts of liabilities based on claims. Stress testing of capital adequacy will show that losses due to impairment of risky securities, difficult collection of low liquid, i.e. securities that are difficult to market, inability to collect receivables from reinsurers, as well as losses due to inadequately calculated reserved claims, must be covered by a solvent capital. The paper is structured so as to provide a review of rules, elements and principles that are the foundation of solvency requirements in insurance companies, methodologies of calculation of guarantee reserve, technical basis for stress testing which assesses capital adequacy of insurers, as well as methods for establishment of limits of exposure to certain risks.

Should the joint provision of credit insurance with unsecured lending be prohibited? An examination of the UK payment protection insurance market

OpenAIRE

John Ashton; Robert S. Hudson

2011-01-01

This study examines whether the recent UK regulatory decision to introduce a blanket ban on the joint provision of consumer lending and credit insurance was justified. This case has wide regulatory implications following international concerns that the sale of credit insurance has been detrimental to customers due to overpriced credit insurance and a possible cross subsidy from credit insurance to unsecured lending. To explore this issue a theoretical model is developed considering why a cros...

The prerequisites of development of voluntary insurance in the Altai territory

OpenAIRE

Natalya Borisovna Grishenko; Natalya Olegovna Derkach

2014-01-01

Questions of the insurance market development concern one of the priorities as increase the efficiency of the financial resources use of all subjects of economy. It gives the possibility to save the budgetary funds at the covering of losses from catastrophic situations, compensate the industrial and other risks to the corporations, as well as increase the responsibility of the citizens. This article is devoted to the search of the directions of voluntary insurance development in the ...

Benefit distribution of social health insurance: evidence from china's urban resident basic medical insurance.

Science.gov (United States)

Pan, Jay; Tian, Sen; Zhou, Qin; Han, Wei

2016-09-01

Equity is one of the essential objectives of the social health insurance. This article evaluates the benefit distribution of the China's Urban Residents' Basic Medical Insurance (URBMI), covering 300 million urban populations. Using the URBMI Household Survey data fielded between 2007 and 2011, we estimate the benefit distribution by the two-part model, and find that the URBMI beneficiaries from lower income groups benefited less than that of higher income groups. In other words, government subsidy that was supposed to promote the universal coverage of health care flew more to the rich. Our study provides new evidence on China's health insurance system reform, and it bears meaningful policy implication for other developing countries facing similar challenges on the way to universal coverage of health insurance. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Health Insurance, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics

Science.gov (United States)

Yang, Zhou; Gilleskie, Donna B.; Norton, Edward C.

2009-01-01

Prescription drug coverage creates a change in medical care consumption, beyond standard moral hazard, arising both from the differential cost-sharing and the relative effectiveness of different types of care. We model the dynamic supplemental health insurance decisions of Medicare beneficiaries, their medical care demand, and subsequent health…

Non-Life Insurance Pricing: Multi Agents Model

OpenAIRE

Amir H. Darooneh

2004-01-01

We use the maximum entropy principle for pricing the non-life insurance and recover the B\\"{u}hlmann results for the economic premium principle. The concept of economic equilibrium is revised in this respect.

Earthquake insurance pricing: a risk-based approach.

Science.gov (United States)

Lin, Jeng-Hsiang

2018-04-01

Flat earthquake premiums are 'uniformly' set for a variety of buildings in many countries, neglecting the fact that the risk of damage to buildings by earthquakes is based on a wide range of factors. How these factors influence the insurance premiums is worth being studied further. Proposed herein is a risk-based approach to estimate the earthquake insurance rates of buildings. Examples of application of the approach to buildings located in Taipei city of Taiwan were examined. Then, the earthquake insurance rates for the buildings investigated were calculated and tabulated. To fulfil insurance rating, the buildings were classified into 15 model building types according to their construction materials and building height. Seismic design levels were also considered in insurance rating in response to the effect of seismic zone and construction years of buildings. This paper may be of interest to insurers, actuaries, and private and public sectors of insurance. © 2018 The Author(s). Disasters © Overseas Development Institute, 2018.

Estimation of insurance premiums for coverage against natural disaster risk: an application of Bayesian Inference

Directory of Open Access Journals (Sweden)

Y. Paudel

2013-03-01

Full Text Available This study applies Bayesian Inference to estimate flood risk for 53 dyke ring areas in the Netherlands, and focuses particularly on the data scarcity and extreme behaviour of catastrophe risk. The probability density curves of flood damage are estimated through Monte Carlo simulations. Based on these results, flood insurance premiums are estimated using two different practical methods that each account in different ways for an insurer's risk aversion and the dispersion rate of loss data. This study is of practical relevance because insurers have been considering the introduction of flood insurance in the Netherlands, which is currently not generally available.

Estimation of insurance premiums for coverage against natural disaster risk: an application of Bayesian Inference

Science.gov (United States)

Paudel, Y.; Botzen, W. J. W.; Aerts, J. C. J. H.

2013-03-01

This study applies Bayesian Inference to estimate flood risk for 53 dyke ring areas in the Netherlands, and focuses particularly on the data scarcity and extreme behaviour of catastrophe risk. The probability density curves of flood damage are estimated through Monte Carlo simulations. Based on these results, flood insurance premiums are estimated using two different practical methods that each account in different ways for an insurer's risk aversion and the dispersion rate of loss data. This study is of practical relevance because insurers have been considering the introduction of flood insurance in the Netherlands, which is currently not generally available.

THE RISK OF TRANSFER OF GENES IN THE INSURANCE PROTECTION OF AGRICULTURAL PRODUCERS

Directory of Open Access Journals (Sweden)

Henrikh Hudz

2017-09-01

Full Text Available The paper deals with the risk of transfer of genes, its impact, and possible consequences for agricultural producers; the possibility of creating an insurance service, to address this risk. The purpose of the paper is to disclose the results of a study of the risk of transfer of genes in agriculture when organizing insurance coverage. The tasks of this paper are: to clarify the essence of genetic engineering as an object of providing insurance services; to define the concept of risk of transfer of genes, its specific features, impact, and possible consequences for agricultural producers; carry out a description of the possibility of creating an insurance service about the risk of transfer of genes. The object of the study is the risk of transfer of genes in insurance protection. The subject of the study is theoretical and methodological approaches to optimizing the risk of transfer of genes in insurance protection. Methodology. This work requires attracting a large number of scientists from different fields. Legal Aspects covered in the EU Regulation Terms №1829/2003 and 1830/2003 of the European Parliament and Council. A considerable attention to the legislative regulation of genetic engineering and risks in the use of genetic modification is given to the Cartagena Protocol on Biosafety. It should be noted that at present, economic literature and especially publications related to agricultural insurance protection do not pay attention to the risks associated with the transfer of transgenic organisms and the possibility of taking this risk to insurance. The work uses the experience of the US Department of Agriculture and the European Center for Insurance Legislation. The results of the study showed that the introduction of the insurance mechanism has the main difference in the fact that this operation takes into account as a person who suffered a loss, could get more profit than the fact of causing damage to another farmer. In this regard, the

An Optimal Investment Strategy and Multiperiod Deposit Insurance Pricing Model for Commercial Banks

Directory of Open Access Journals (Sweden)

Grant E. Muller

2018-01-01

Full Text Available We employ the method of stochastic optimal control to derive the optimal investment strategy for maximizing an expected exponential utility of a commercial bank’s capital at some future date T>0. In addition, we derive a multiperiod deposit insurance (DI pricing model that incorporates the explicit solution of the optimal control problem and an asset value reset rule comparable to the typical practice of insolvency resolution by insuring agencies. By way of numerical simulations, we study the effects of changes in the DI coverage horizon, the risk associated with the asset portfolio of the bank, and the bank’s initial leverage level (deposit-to-asset ratio on the DI premium while the optimal investment strategy is followed.

76 FR 64174 - Public Input on the Report to Congress on How To Modernize and Improve the System of Insurance...

Science.gov (United States)

2011-10-17

... submit views on: 1. Systemic risk regulation with respect to insurance; 2. Capital standards and the... risk; 3. Consumer protection for insurance products and practices, including gaps in State regulation... general creditor claims; iii. In the case of life insurance companies, on the loss of the special status...

Deposit Insurance Coverage, Credibility of Non-insurance, and Banking Crises

DEFF Research Database (Denmark)

Angkinand, Apanard; Wihlborg, Clas

2005-01-01

level require analyses of institutional factors affecting the credibility of non-insurance. In particular, the implementation of effective distress resolution procedures for banks would allow governments to reduce explicit deposit insurance coverage and, thereby, to strengthen market discipline......The ambiguity in existing empirical work with respect to effects of deposit insurance schemes on banks' risk-taking can be resolved if it is recognized that absence of deposit insurance is rarely credible and that the credibility of non-insurance can be enhanced by explicit deposit insurance...... schemes. We show that under reasonable conditions for effects on risk-taking of creditor protection in banking, and for effects on credibility of non-insurance of explicit coverage of deposit insurance schemes, there exists a partial level of coverage that maximizes market discipline and minimizes moral...

Economic reforms and health insurance in China.

Science.gov (United States)

Du, Juan

2009-08-01

During the 1990s, Chinese state-owned enterprises (SOEs) and collective enterprises continually decreased coverage of public health insurance to their employees. This paper investigates this changing pattern of health insurance coverage in China using panel data from the China Nutrition and Health Survey (1991-2000). It is the first attempt in this literature that tries to identify precisely the effects of specific policies and reforms on health insurance coverage in the transitional period of China. The fixed effects linear model clustering at the province level is used for estimation, and results are compared to alternative models, including pooled OLS, random effects GLS model and fixed effects logit model. Strong empirical evidence is found that unemployment as a side effect of the Open Door Policy, and the deregulation of SOE and collective enterprises were the main causes for the decreasing trend. For example, urban areas that were highly affected by the Open Door Policy were associated with 17 percentage points decrease in the insurance coverage. Moreover, I found evidence that the gaps between SOE and non-SOE employees, collective and non-collective employees, urban and rural employees have considerably decreased during the ten years.

Nuclear insurance

International Nuclear Information System (INIS)

Anon.

1992-01-01

The yearbook contains among others the figures of the nuclear insurance line. According to these these the DKVG (German nuclear power plant insurance association) has 102 member insurance companies all registered in the Federal Republic of Germany. By using reinsurance capacities of the other pools at present property insurance amounts to 1.5 billion DM and liability insurance to 200 million DM. In 1991 the damage charges on account of DKV amounted to 3.1 (1990 : 4.3) million DM. From these 0.6 million DM are apportioned to payments and 2.5 million DM to reserves. One large damage would cost a maximum gross sum of 2.2 billion DM property and liability insurance; on account of DKVG 750 million DM. (orig./HSCH) [de

CIVIL LIABILITY OF DOCTORS AND THEIR INSURANCE (MALPRACTICE

Directory of Open Access Journals (Sweden)

Gârbo Viorica Irina

2013-07-01

Full Text Available Malpractice insurance of medical staff is probably the oldest professional liability insurance underwritten in the insurance market in Romania. The aim of our research is to theoretically examine in a qualitative inquiry the usefulness of insurance completion by the practitioners from the Romanian health system at both state and private, in order to improve a best practice medical insurance. The medical profession is practiced in Romania under the Code of Medical Ethics 30 March 2012 prepared in code that complies with international standards contained in the Geneva Declaration of 1948, as amended by the World Medical Association and the International Code of Medical Ethics. The forms of medical liability are: disciplinary, administrative, civil and criminal and only the civil liability can be taken into insurance because only it meets the conditions of insurability. Once we explain in general and the insurance liability in particular we show articles of the Romanian Civil Code which establishes the obligation the one that caused an injury to a third person for the repair or indemnify and conditions provided by the Civil Code as an act to be considered liability. Then we refer to situations where the patient may be damaged through the fault of the doctor or the doctor unit operates. The object of malpractice insurance is loss of money that the insured would have to pay a patient whom he caused injury as a result of acts or deeds of negligence committed to, during and in relation to professional activity. Risks taken in the insurance are personal injury, illness or death of the patient and / or moral damages. Regarding the excluded risks we have presented an overview of the more common contracts underwritten by Romanian insurance companies. We show the way of underwriting, the insured sums of the standard insurance and the additional one which subscribes moral damages, to companies in Romania agreed by bodies which organize and supervise the

Analysis of the life insurance market in the Republic of Macedonia

Directory of Open Access Journals (Sweden)

Andreeski Cvetko

2012-01-01

Full Text Available Life insurance in the Republic of Macedonia has a short history, if we do not count the experience of ZOIL Makedonija before the independence of Republic of Macedonia. The recent history of life insurance covers the last seven years and the segment of life insurance comprises about 6% of the total insurance market in the Republic of Macedonia. In this paper we analyse the development of life insurance in the Republic of Macedonia in recent history, taking the gross premiums of two of the best companies that are working in the segment of life insurance. Besides analysing the influence of the basic determinants of the development of life insurance (GDP, monetary stability, social insurance, etc. we analyse the model of time series, with the purpose of making a model and forecasting future values of the series.

The insurance and risk management industries: new players in the delivery of energy-efficient and renewable energy products and services

International Nuclear Information System (INIS)

Mills, Evan

2003-01-01

The insurance and risk management industries are typically considered to have little interest in energy issues, other than those associated with large energy supply systems. The historical involvement of these industries in the development and deployment of familiar loss-prevention technologies such as automobile air bags, fire prevention/suppression systems, and anti-theft devices, evidences a tradition of mediating and facilitating the use of technology to improve safety and otherwise reduce the likelihood of losses. Through an examination of the connection between risk management and energy technology, we have identified nearly 80 examples of energy-efficient and renewable energy technologies that offer loss-prevention benefits (such as improved fire safety). This article presents the business case for insurer involvement in the sustainable energy sector and documents early case studies of insurer efforts along these lines. We have mapped these opportunities onto the appropriate market segments (life, health, property, liability, business interruption, etc.). We review steps taken by 53 forward-looking insurers and reinsurers, 5 brokers, 7 insurance organizations, and 13 non-insurance organizations. We group the approaches into the categories of: information, education, and demonstration; financial incentives; specialized policies and insurance products; direct investment; customer services and inspections; codes, standards, and policies; research and development; in-house energy management; and an emerging concept informally known as 'carbon insurance'. While most companies have made only a modest effort to position themselves in the 'green' marketplace, a few have comprehensive environmental programs that include energy efficiency and renewable energy activities

Social Health Insurance-Based Simultaneous Screening for 154 Mutations in 19 Deafness Genes Efficiently Identified Causative Mutations in Japanese Hearing Loss Patients.

Directory of Open Access Journals (Sweden)

Kentaro Mori

Full Text Available Sensorineural hearing loss is one of the most common neurosensory disorders in humans. The incidence of SNHL is estimated to be 1 in 500-1000 newborns. In more than half of these patients, the hearing loss is associated with genetic causes. In Japan, genetic testing for the patients with SNHL using the Invader assay to screen for 46 mutations in 13 deafness genes was approved by the Ministry of Health, Labour and Welfare for inclusion in social health insurance coverage in 2012. Furthermore, from August 2015, this genetic testing has been expanded to screen for 154 mutations in 19 deafness genes using targeted genomic enrichment with massively parallel DNA sequencing combined with the Invader assay and TaqMan genotyping. For this study we analyzed 717 unrelated Japanese hearing loss patients. The total allele frequency of 154 mutations in 19 deafness genes was 32.64% (468/1434 and the total numbers of cases associated with at least one mutation was 44.07% (316/717. Among these, we were able to diagnose 212 (30% patients, indicating that the present screening could efficiently identify causative mutations in hearing loss patients. It is noteworthy that 27 patients (3.8% had coexistent multiple mutations in different genes. Five of these 27 patients (0.7%, 5/717 overall were diagnosed with genetic hearing loss affected by concomitant with responsible mutations in more than two different genes. For patients identified with multiple mutations in different genes, it is necessary to consider that several genes might have an impact on their phenotypes.

Asymmetric Information in Iranian’s Health Insurance Market: Testing of Adverse Selection and Moral Hazard

Science.gov (United States)

Lotfi, Farhad; Gorji, Hassan Abolghasem; Mahdavi, Ghadir; Hadian, Mohammad

2015-01-01

Background: Asymmetric information is one of the most important issues in insurance market which occurred due to inherent characteristics of one of the agents involved in insurance contracts; hence its management requires designing appropriate policies. This phenomenon can lead to the failure of insurance market via its two consequences, namely, adverse selection and moral hazard. Objective: This study was aimed to evaluate the status of asymmetric information in Iran’s health insurance market with respect to the demand for outpatient services. Materials/sPatients and Methods: This research is a cross sectional study conducted on households living in Iran. The data of the research was extracted from the information on household’s budget survey collected by the Statistical Center of Iran in 2012. In this study, the Generalized Method of Moment model was used and the status of adverse selection and moral hazard was evaluated through calculating the latent health status of individuals in each insurance category. To analyze the data, Excel, Eviews and stata11 software were used. Results: The estimation of parameters of the utility function of the demand for outpatient services (visit, medicine, and Para-clinical services) showed that households were more risk averse in the use of outpatient care than other goods and services. After estimating the health status of households based on their health insurance categories, the results showed that rural-insured people had the best health status and people with supplementary insurance had the worst health status. In addition, the comparison of the conditional distribution of latent health status approved the phenomenon of adverse selection in all insurance groups, with the exception of rural insurance. Moreover, calculation of the elasticity of medical expenses to reimbursement rate confirmed the existence of moral hazard phenomenon. Conclusions: Due to the existence of the phenomena of adverse selection and moral hazard

Model parameter uncertainty analysis for an annual field-scale phosphorus loss model

Science.gov (United States)

Phosphorous (P) loss models are important tools for developing and evaluating conservation practices aimed at reducing P losses from agricultural fields. All P loss models, however, have an inherent amount of uncertainty associated with them. In this study, we conducted an uncertainty analysis with ...

Impact of Primary Language and Insurance on Pediatric Hearing Health Care in a Multidisciplinary Clinic.

Science.gov (United States)

Su, Brooke M; Park, Jason S; Chan, Dylan K

2017-10-01

Objective This study aims to describe the effects of primary language and insurance status on care utilization among deaf or hard-of-hearing children under active otolaryngologic and audiologic care. Study Design Cross-sectional analysis. Setting Multidisciplinary hearing loss clinic at a tertiary center. Subjects and Methods Demographics, hearing loss data, and validated survey responses were collected from 206 patients aged 0 to 19 years. Two-sided t tests and χ 2 tests were used to obtain descriptive statistics and hypothesis testing. Results Of the sample, 52.4% spoke primarily English at home. Non-English-speaking children and families were less likely to receive psychiatric counseling (12.2% vs 35.2% in the English group, P children were less likely to know the type or degree of their child's hearing loss (56.9% vs 75.4%, P = .022), and these children were older on presentation to the clinic (8.5 vs 6.5 years of age, P = .01) compared to privately insured children. Publicly insured children were less likely to receive cochlear implants ( P = .046) and reported increased difficulty obtaining hearing aids ( P = .047). While all patients reported impairment in hearing-related quality of life, publicly insured children aged 2 to 7 years were more likely to perform below minimum thresholds on measures of auditory/oral functioning. Conclusion Even when under active care, deaf or hard-of-hearing children from families who do not speak English at home or with public insurance face more difficulty obtaining educational services, cochlear implants, and hearing aids. These findings represent significant disparities in access to necessary interventions.

Natural disasters and the challenge of extreme events: risk management from an insurance perspective