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Optimal investment allocation in a Jump Diffusion Risk Model with bond and stock investments.

机译:带有债券和股票投资的跳跃扩散风险模型中的最优投资分配。

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摘要

This article pertains to the optimal asset allocation of surplus from an insurance company model. The insurance company is represented by a compound Poisson risk process which is perturbed by diffusion and has investments. The investments are in both risky and risk-free types of assets similar to stocks/real estate and bonds. The insurance company can borrow at a constant interest rate in the event of a negative surplus.;Numerical simulations were done on the Pure Diffusion Model, Pure Diffusion Model with borrowing and the Jump Diffusion Risk Model. An exact solution to the Pure Diffusion Model was found and used to check the numerical accuracy of the simulations. Also, an inequality was found for the Pure Diffusion Model. The simulations showed an anomaly at certain interest rates. The Pure Diffusion Models were used to estimate the Jump Diffusion Risk Model with borrowing. Numerical analysis appeared to show that an optimal asset allocation range can be estimated for certain parameters and compared with insurance data. Using a conservative method to minimize the probability of ruin, a reasonable optimal asset allocation range for a typical insurance company was about 4.5 to 8.2 percent invested in risky stock/real estate assets.;Additional simulations were performed to determine a potential relationship between the parameters that yielded "good" models. The results showed a relationship of 0.45 mu = sigma2 between the stock drift and volatility parameters. Finally, the asymptotic form of the ruin probability was shown to be a power function.
机译:本文涉及保险公司模型中盈余的最优资产配置。保险公司以复合的Poisson风险过程为代表,该过程受扩散干扰并具有投资。这些投资属于与股票/房地产和债券类似的有风险和无风险资产。在出现负盈余的情况下,保险公司可以以恒定利率借款。对纯扩散模型,带借款的纯扩散模型和跳跃扩散风险模型进行了数值模拟。找到了纯扩散模型的精确解,并将其用于检查模拟的数值准确性。此外,发现了纯扩散模型的不等式。模拟显示在某些利率下存在异常。使用纯扩散模型估算借贷的跳跃扩散风险模型。数值分析表明,可以为某些参数估算最佳资产分配范围,并与保险数据进行比较。使用保守方法将破产的可能性降到最低,典型保险公司的合理最佳资产配置范围约为风险股票/房地产资产投资的4.5%至8.2%。;进行了附加仿真,以确定参数之间的潜在关系。产生了“好”模型。结果表明,股票漂移和波动率参数之间的关系为0.45μ= sigma2。最后,证明了破产概率的渐近形式是幂函数。

著录项

  • 作者

    Laubis, Blane.;

  • 作者单位

    George Mason University.;

  • 授予单位 George Mason University.;
  • 学科 Mathematics.;Economics Finance.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;财政、金融;
  • 关键词

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