Underwriting profit margin of P/L insurance in the fuzzy-ICAPM

The ICAPM is used to study the underwriting profit margin of the P/L insurance company, including the insurances of automobile damage, automobile liability and fire, in which the parameters are the symmetric or non-symmetric triangular fuzzy numbers. From the ten-year data of a company in Taiwan we determine the lower and upper limits associated with the various α-level of the fuzzy numbers. Our results show that the best-fitting parameters of the model from our data are the asymmetric triangular fuzzy numbers. The skew factors in each insurance are determined, which could be used to perform the forecasting of the underwriting profit margin. Our results show that the systematic risk in the fuzzy environment (with best-fitting value of skew factor) becomes larger than that in the crisp environment. However, the insurance underwriting leverage and insurance financial leverage in the fuzzy environment are smaller than those in the crisp environment. Copyright Springer Science + Business Media, LLC 2006Underwriting profit margin, Insurance capital asset pricing model, Fuzzy set theory,

Insurance Fraud: Issues and Challenges

This article is devoted to the phenomenon of insurance fraud. We start by surveying the various forms of insurance fraud as well as its extent and cost. We proceed to analyse the problem as the product of motivation and opportunity, and address the complexities of fraud control. Finally, we provide a high-level overview of current anti-fraud activity. The Geneva Papers on Risk and Insurance (2004) 29, 313–333. doi:10.1111/j.1468-0440.2004.00290.x