Department of Finance
Journal of Actuarial Practice (1993–2006)
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Date of this Version
1997
Document Type
Article
Citation
Journal of Actuarial Practice 5 (1997), pp. 49-77
Abstract
Monte Carlo simulation is used to develop a flexible framework to measure the profitability, risk, and competitiveness of any insurance product. A genetic algorithm is then used to seek the optimum asset allocations that form the profitability-risk-competitiveness frontier and to examine the profitability, risk, and competitiveness trade-off's. We also show how to select the appropriate asset allocation and crediting strategy in order to position the product at the DeSired location on the profitability-risk-competitiveness spectrum.
Included in
Accounting Commons, Business Administration, Management, and Operations Commons, Corporate Finance Commons, Finance and Financial Management Commons, Insurance Commons, Management Sciences and Quantitative Methods Commons
Comments
Copyright 1997 Absalom Press