Loss risk through fraud in car insurance

Our objective is to analyse fraud as an operational risk for the insurance company. We study the effect of a fraud detection policy on the insurer's results account, quantifying the loss risk from the perspective of claims auditing. From the point of view of operational risk, the study aims to analyse the effect of failing to detect fraudulent claims after investigation. We have chosen VAR as the risk measure with a non-parametric estimation of the loss risk involved in the detection or non-detection of fraudulent claims. The most relevant conclusion is that auditing claims reduces loss risk in the insurance company.

Mixture of bivariate Poisson regression models with an application to insurance

In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. In the present paper, we revisit this model in order to consider alternatives. We propose a 2-finite mixture of bivariate Poisson regression models to demonstrate that the overdispersion in the data requires more structure if it is to be taken into account, and that a simple zero-inflated bivariate Poisson model does not suffice. At the same time, we show that a finite mixture of bivariate Poisson regression models embraces zero-inflated bivariate Poisson regression models as a special case. Additionally, we describe a model in which the mixing proportions are dependent on covariates when modelling the way in which each individual belongs to a separate cluster. Finally, an EM algorithm is provided in order to ensure the models’ ease-of-fit. These models are applied to the same automobile insurance claims data set as used in Bermúdez [2009] and it is shown that the modelling of the data set can be improved considerably.

Statistical methods for insurance fraud detection

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Health care rights and NHS rationing: turning theory into practice

How should we understand the nature of patients’ right in public health care systems? Are health care rights different to rights under a private contract for car insurance? This article distinguishes between public and private rights and the relevance of community interests and notions of social solidarity. It discusses the distinction between political and civil rights, and social and economic rights and the inherently political and redistributive nature of the latter. Nevertheless, social and economic rights certainly give rise to “rights” enforceable by the courts. In the UK (as in many other jurisdictions), the courts have favoured a “procedural” approach to the question, in which the courts closely scrutinise decisions and demand high standards of rationality from decision-makers. However, although this is the general rule, the article also discusses a number of exceptional cases where “substantive” remedies are available which guarantee patients access to the care they need.

Insurance Fraud Alert, 2011

Do not let anyone use your personal information from your car or health insurance policy to file a fraudulent insurance claim of any kind.

Development and legal aspects of general insurance in the Caribbean with special reference to the OECS countries

Examina y analiza los principales asuntos legales relacionados al desarrollo y operación de las compañías de seguros generales en el Caribe, con especial referencia a los países de la Organización de Estados del Caribe Oriental.

Captive insurance companies in the Caribbean: an analysis

Includes bibliography

Pricing farm-level agricultural insurance: a Bayesian approach

This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This methodology considers the temporal effect, the spatial dependence and spatio-temporal models. One of the major advantages of this framework is that an estimate of the premium rate is obtained directly from the posterior distribution. These methods were applied to a farm-level data set of soybean in the State of the Parana (Brazil), for the period between 1994 and 2003. The model selection was based on a posterior predictive criterion. This study improves considerably the estimation of the fair premium rates considering the small number of observations.

Bayesian ratemaking procedure of crop insurance contracts with skewed distribution

Over the years, crop insurance programs became the focus of agricultural policy in the USA, Spain, Mexico, and more recently in Brazil. Given the increasing interest in insurance, accurate calculation of the premium rate is of great importance. We address the crop-yield distribution issue and its implications in pricing an insurance contract considering the dynamic structure of the data and incorporating the spatial correlation in the Hierarchical Bayesian framework. Results show that empirical (insurers) rates are higher in low risk areas and lower in high risk areas. Such methodological improvement is primarily important in situations of limited data.

Spatio-temporal modeling of agricultural yield data with an application to pricing crop insurance contracts

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 Parana (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.

Parametric and nonparametric statistical modelling of crop yield: implications for pricing crop insurance contracts

This article considers alternative methods to calculate the fair premium rate of crop insurance contracts based on county yields. The premium rate was calculated using parametric and nonparametric approaches to estimate the conditional agricultural yield density. These methods were applied to a data set of county yield provided by the Statistical and Geography Brazilian Institute (IBGE), for the period of 1990 through 2002, for soybean, corn and wheat, in the State of Paran. In this article, we propose methodological alternatives to pricing crop insurance contracts resulting in more accurate premium rates in a situation of limited data.

Demonstrators and Semper press car during Moratorium in Brisbane 1970

Demonstrators in Brisbane, Australia with banners and flags during Moratorium march 1970. Semper press car (Volkswagon Kombi) can be seen. Protestors are outside the Presbyterian Church of Queensland (now Uniting Church) in Ann Street, Brisbane. In the background, scaffolding can be seen at the construction site of the Crest Hotel. Semper Floreat is the student newspaper of the University of Queensland.