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Predicting Insurance Insolvency Using Generalized Qualitative Response Models

  • James B. McDonald
Part of the Huebner International Series on Risk, Insurance and Economic Security book series (HSRI, volume 16)

Abstract

The general problem of corporate or business failure is very important and can generate significant losses to creditors and stockholders. Models of predicting business failure have been studied by numerous authors including Aharony (1980), Altman (1968), Beaver (1967), Dambolena and Khoury (1980), Deakin (1972), and Zavgren (1983). The problem of predicting insolvency of insurance companies has become an important issue for the National Association of Insurance Commissioners as well as state and federal legislators. More than 130 property and casualty insurance companies have failed during the last ten years. Daenzer (1984) indicates that the total statutory underwriting loss for the period 1979 to 1983 is $33.7 billion. In an interesting article entitled “Is ‘A-Plus’ Really a Passing Grade?” Denenberg (1967) examined Best’s ratings for size and financial strength for the six years preceding insolvency and found that the ratings were useful in predicting solvency status. These ratings attempt to summarize many factors, such as quality of underwriting, management, adequacy of reserves, investment quality and a financial rating. This has provided a useful, but not a perfect, guideline of an insurance companies financial health.

Keywords

Logit Model Probit Model Financial Distress Financial Ratio Account Research 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1993

Authors and Affiliations

  • James B. McDonald

There are no affiliations available

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