Portfolio Optimisation with a Value at Risk Constraint in the Presence of Unhedgeable Risks

M. Janssen
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引用次数: 3

Abstract

This paper addresses the type of portfolio optimisation problem that most European insurance companies will face after the introduction of Solvency II (the new regulatory framework in Europe to be introduced in 2013). Solvency II will limit the total Value at Risk of an insurance company. In this paper therefore we derive the optimal portfolio of hedgeable risks when also unhedgeable risks are present and the sum of both risks is constrained by a Value at Risk constraint. This paper extends the current literature on portfolio optimisation by including both a Value at Risk constraint and unhedgeable risks where in the current literature maximally only one of these two is included. To obtain flexibility with respect to assumptions regarding the probability functions of both the hedgeable and unhedgeable risks, the state price density and the utility function used, the problem is optimised numerically. An example shows the importance of a correct specification of the characteristics of the hedgeable risk. The results also show that the optimal portfolio is much less skewed than the optimal portfolio that is obtained when only hedgeable risks are present.
存在不可对冲风险时具有风险约束值的投资组合优化
本文解决了大多数欧洲保险公司在引入偿付能力II(欧洲将于2013年引入的新监管框架)后将面临的投资组合优化问题。偿付能力II将限制保险公司的总风险价值。因此,本文导出了当存在不可对冲风险且两种风险之和受风险值约束时,可对冲风险的最优组合。本文通过包括风险值约束和不可对冲风险来扩展当前关于投资组合优化的文献,其中在当前文献中最大限度地只包括这两者中的一个。为了获得关于可对冲和不可对冲风险的概率函数、状态价格密度和所使用的效用函数的假设的灵活性,对问题进行了数值优化。一个例子说明了正确说明可对冲风险特征的重要性。结果还表明,与仅存在可对冲风险时获得的最优投资组合相比,最优投资组合的倾斜程度要小得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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