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Managing the Insolvency Risk of Insurance Companies, Softcover reprint of the original 1st ed. 1991 Proceedings of the Second International Conference on Insurance Solvency Huebner International Series on Risk, Insurance and Economic Security Series, Vol. 12

Langue : Anglais

Coordonnateurs : Cummins J. David, Derrig Richard A.

Couverture de l’ouvrage Managing the Insolvency Risk of Insurance Companies
Two different applications have been considered, automobile claims from Massachusetts and health expenses from the Netherlands. We have fit 11 different distributions to these data. The distributions are conveniently nested within a single four parameter distribution, the generalized beta of the second type. This relationship facilitates analysis and comparisons. In both cases the GB2 provided the best fit and the Burr 3 is the best three parameter model. In the case of automobile claims, the flexibility of the GB2 provides a statistically siE;nificant improvement in fit over all other models. In the case of Dutch health expenses the improvement of the GB2 relative to several alternatives was not statistically significant. * The author appreciates the research assistance of Mark Bean, Young Yong Kim and Steve White. The data used were provided by Richard Derrig of The Massachusetts Automobile Rating and Accident Prevention Bureau and by Bob Van der Laan and The Silver Cross Foundation for the medical insurance claim data. 2~ REFERENCES Arnold, B. C. 1983. Pareto Distributions. Bartonsville: International Cooperative Publishing House. Cummins, J. D. and L. R. Freifelder. 1978. A comparative analysis of alternative maximum probable yearly aggregate loss estimators. Journal of Risk and Insurance 45:27-52. *Cummins, J. D., G. Dionne, and L. Maistre. 1987. Application of the GB2 family of distributions in collective risk theory. University of Pennsylvania: Mimeographed manuscript. Hogg, R. V. and S. A. Klugman. 1983. On the estimation of long tailed skewed distributions with actuarial applications.
I Operational Models of Risk Assessment.- 1 An Analysis of Underwriting Cycles and their Effects on Insurance Solvency.- 2 A Management Model of a General Insurance Company Using Simulation Techniques.- 3 Classifying Financial Distress in the Life Insurance Industry.- 4 Variability of Pension Contributions and Fund Levels with Random Rates of Return.- 5 The Value of Ceded Reinsurance.- 6 Effect of Serially Autocorrelated Profit Margins on the Solvency of Insurers: The Case with Constant Target Margins Set by the Capital Asset Pricing Model.- 7 Some Statistical Distributions for Insured Damages.- II Financial Models for Risk Assessment.- 8 A Synthesis of Property-Liability Insurance Pricing Techniques.- 9 Determining the Proper Interest Rate for Loss Reserve Discounting.- 10 Safety Loadings for Loss Reserves.- 11 Rational Insurance Purchasing: Consideration of Contract Non-Performance.- 12 Capital Structure and Fair Profits in Property-Liability Insurance.

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