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Optimization Problem of Insurance Investment Based on Spectral Risk Measure and RAROC Criterion

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  • Xia Zhao
  • Hongyan Ji
  • Yu Shi

Abstract

This paper introduces spectral risk measure (SRM) into optimization problem of insurance investment. Spectral risk measure could describe the degree of risk aversion, so the underlying strategy might take the investor's risk attitude into account. We establish an optimization model aiming at maximizing risk-adjusted return of capital (RAROC) involved with spectral risk measure. The theoretical result is derived and empirical study is displayed under different risk measures and different confidence levels comparatively. The result shows that risk attitude has a significant impact on investment strategy. With the increase of risk aversion factor, the investment ratio of risk asset correspondingly reduces. When the aversive level increases to a certain extent, the impact on investment strategies disappears because of the marginal effect of risk aversion. In the case of VaR and CVaR without regard for risk aversion, the investment ratio of risk asset is increasing significantly.

Suggested Citation

  • Xia Zhao & Hongyan Ji & Yu Shi, 2018. "Optimization Problem of Insurance Investment Based on Spectral Risk Measure and RAROC Criterion," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-7, October.
    • Handle: RePEc:hin:jnlmpe:9838437
    DOI: 10.1155/2018/9838437
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