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基于VaR和CVaR下优化模型及其在保险资金组合投资中的应用
引用本文:钟纯,吴雪,陈文财.基于VaR和CVaR下优化模型及其在保险资金组合投资中的应用[J].南昌大学学报(工科版),2011(4):398-402,408.
作者姓名:钟纯  吴雪  陈文财
作者单位:南昌大学数学系,江西南昌330031
基金项目:江西省自然科学基金资助项目(2007JZS2124)
摘    要:在保险资金投资收益率服从正态分布假设的前提下,以保险资金投资组合CVaR最小为目标函数,以保险资金投资组合的VaR约束和保监会相关的法律法规约束为条件,建立了考虑承保风险和交易费用的保险资金投资VaR—CVaR模型,并运用几何方法对模型进行求解,得到了模型的有效边界及其最优解。

关 键 词:保险资金  风险价值  条件风险价值  投资组合  最优解

Optimizing Model Based on VaR and CVaR and Its Application in Portfolios of Insurance Funds
ZHONG Chun,WU Xue,CHEN Wen-cai.Optimizing Model Based on VaR and CVaR and Its Application in Portfolios of Insurance Funds[J].Journal of Nanchang University(Engineering & Technology Edition),2011(4):398-402,408.
Authors:ZHONG Chun  WU Xue  CHEN Wen-cai
Affiliation:( Department of Mathematics, Nanchang University, Nanchang 330031, China)
Abstract:Under the assumption that the return of the portfolios of insurance funds is normal distributed, and using minimum conditional value-at-risk(CVaR) of insurance funds investment portfolio as a object function, taking value-at-risk ( VaR), relevant laws and relugations of the CIRC as the constrains, a new optimal model ( i. e. VaR- CVaR model) was developed, which involving both the underwriting risk and the transaction costs. By using the geo- metric method, the effective frontier of our model was obtained.
Keywords:insurance funds  value-at-risk  conditional value-at-risk  portfolio  optimal solution
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