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Full-Text Articles in Insurance
Modeling Insurance Loss Data: The Log-Eig Distribution, Uditha Balasooriya, Chan Kee Low, Adrian Y.W. Wong
Modeling Insurance Loss Data: The Log-Eig Distribution, Uditha Balasooriya, Chan Kee Low, Adrian Y.W. Wong
Journal of Actuarial Practice (1993-2006)
The log-EIG distribution was recently introduced to the probability literature. It has positive support and a moderately long tail, and is closer to the lognormal than to the gamma or Weibull distributions. Our simulations show that data generated from a log-EIG distribution cannot be adequately described by lognormal, gamma, or Weibull distributions. The log-EIG distribution is a worthwhile candidate for modeling insurance claims (loss) data or lifetime data. Examples of fitting the log-EIG to published insurance claims data are given.
Modeling Size-Of-Loss Distributions For Exact Data In Winbugs, David P.M. Scollnik
Modeling Size-Of-Loss Distributions For Exact Data In Winbugs, David P.M. Scollnik
Journal of Actuarial Practice (1993-2006)
This paper discusses how the statistical software WinBUGS can be used to implement a Bayesian analysis of several popular severity models applied to exact size-of-Ioss data. The particular models targeted are the gamma, inverse gamma, loggamma, lognormal, (two-parameter) Pareto, inverse (two-parameter) Pareto, Weibull, and inverse Weibull distributions. It is possible to implement additional size-of-Ioss models (including those for truncated data) using methods analogous to those described herein.
Analyzing Management Fees Of Pension Funds: A Case Study Of Mexico, Tapen Sinha
Analyzing Management Fees Of Pension Funds: A Case Study Of Mexico, Tapen Sinha
Journal of Actuarial Practice (1993-2006)
Though the rates of return for public pension funds have been high over the past two decades, one critical aspect of the financing of this type of fund is often overlooked: high management fees. As a result, the rates of return for workers who have invested in these funds have not necessarily been high. Management fees charged on pension funds in Mexico result in a leakage of funds in the order of 20-30% of the fund. That is, the amount at retirement would have been 20-30% higher had there been no fees. A model is developed that includes all the …
Measuring And Managing Catastrophe Risk, Ronald T. Kozlowski, Stuart B. Mathewson
Measuring And Managing Catastrophe Risk, Ronald T. Kozlowski, Stuart B. Mathewson
Journal of Actuarial Practice (1993-2006)
We introduce some of the basic principles behind property catastrophe modeling via simulations. The output of such simulations can be explored via modernized pin maps and loss likelihood curves. We also briefly discuss some of the uses of catastrophe modeling in addition to traditional probable maximum loss estimation. Comments are made on the use of modeling by reinsurers. We hope that this article stimulates discussions on new approaches to catastrophe modeling.
A Pension Plan Incorporating Both Defined Benefit And Defined Contribution Principles, Zaki M. Khorasanee
A Pension Plan Incorporating Both Defined Benefit And Defined Contribution Principles, Zaki M. Khorasanee
Journal of Actuarial Practice (1993-2006)
We propose a defined contribution pension plan with an explicitly defined benefit formula. Such a plan is expected to pay more stable and predictable benefits over time than one based on the money purchase principle. The properties of the plan are investigated through simulation. Methods for distributing surpluses and eliminating deficiencies that involve adjusting the rate of benefit accrual (rather than varying the rate of contribution) are discussed. The behavior of the plan under a scenario of persistently unfavorable investment experience is Simulated, and methods for satisfactorily dealing with such a scenario are considered. The plan actuary is expected to …
The Process Of Pension Forecasting, Michael Sze
The Process Of Pension Forecasting, Michael Sze
Journal of Actuarial Practice (1993-2006)
This paper explains the process of pension forecasting. It discusses the common purposes and uses of pension forecasts, the major steps involved, and the principal limitations of these forecasts. Some insights into each stage of the forecasting process are provided. Among the stages discussed are: the background research to be performed; the selection of scenario assumptions; shortcuts used in the actual performance of the forecast; review of the forecast results; and communication of the forecast findings.