期刊文献+

基于确定缴费型养老金最优投资的随机微分博弈 被引量:4

Stochastic Differential Games for Defined Contribution Pension with Optimal Investment
下载PDF
导出
摘要 研究2种情况下养老金的随机微分博弈:第一种情况是基于效用的随机微分博弈,第二种情况是基于均值-方差准则的随机微分博弈.对于第一种情况在指数效用和幂效用下,应用线性-二次控制理论得到最优投资、市场策略和值函数的显示解.对于第二种情况,通过把原先的基于均值-方差准则的随机微分博弈转化为无限制情况,应用线性-二次控制理论得到无限制情况下最优投资、市场策略和有效边界的显示解;进而得到原基于均值-方差准则的随机微分博弈的最优投资、市场策略和有效边界的显示解.通过研究,可以指导养老金计划者在金融市场出现最坏时进行合理投资使自身的财富最大化;也可以指导养老金计划者在金融市场出现最坏时进行合理投资,使自身获得一定的财富,而面临的风险最小. This paper researches two cases stochastic differential game for pension: the first is stochastic differential game based on the utility,the second case is stochastic differential game based on the mean-variance criteria. In the first case under the exponential utility and power utility,by applying linear-guadratic control theory,the explicit expressions of optimal investment strategies and optimal market strategies as well as of the value function are obtained. For the second case,by changing the original stochastic differential game based on the mean-variance criteria into unrestricted cases,applying linear-quadratic control theory,the explicit expressions of optimal investment strategies and optimal market strategies as well as of efficient frontier are obtained; finally get optimal investment strategies and optimal market strategies as well as of efficient frontier for the original stochastic differential game. When the market is worst,this research could be used to guide investor of pension to select the appropriate investment strategy for maximization his wealth and minimum the risk.
作者 杨鹏
出处 《四川师范大学学报(自然科学版)》 CAS 北大核心 2015年第2期194-200,共7页 Journal of Sichuan Normal University(Natural Science)
基金 国家自然科学基金(11271375)资助项目
关键词 均值-方差准则 随机微分博弈 线性-二次控制 指数效用 幂效用 mean-variance criterion stochastic differential games linear-quadratic control exponential utility power utility
  • 相关文献

参考文献15

  • 1Gao J. Optimal portfolios for DC pension plans under CEV model[ J ]. Insurance Math Economics ,2009,44 (2) :479 -490.
  • 2林祥,杨益非.Heston随机方差模型下确定缴费型养老金的最优投资[J].应用数学,2010,23(2):413-418. 被引量:24
  • 3张初兵,荣喜民.均值-方差模型下DC型养老金的随机最优控制[J].系统工程理论与实践,2012,32(6):1314-1323. 被引量:22
  • 4Isaacs R. Differential Games [ M ]. New York : John Wiley & Sons, 1965.
  • 5Mataramvura S, Oksendal B. Risk minimizing portfolios and HJBI equations for stochastic differential games[ J]. International J Probability and Stochastic Processes,2008,4:317 - 337.
  • 6Siu T K. A game theoretic approach to option valuation under Markovian regime - switching models[ J]. Insurance:Math Econom- ics,2008,42(3) :1146 - 1158.
  • 7Browne S. Stochastic differential portfolio games[ J ] J Appl Probability ,2000,37 (1) :126 -147.
  • 8杨鹏,林祥.随机微分博弈下的资产负债管理[J].中山大学学报(自然科学版),2013,52(6):30-33. 被引量:13
  • 9Markowitz H M. Portfolio section[J]. J Finance, 1952,7( 1 ) :77 -91.
  • 10Li D, W L N. Optimal dynamic portfolio selection, muhi -period mean -variance formulation [ J ]. Math Finance ,2000,10 (3) : 387 - 406.

二级参考文献78

共引文献56

同被引文献38

  • 1傅曼丽,屠梅曾,董荣杰.Vasicek状态空间模型与上交所国债利率期限结构实证[J].系统工程理论方法应用,2005,14(5):458-461. 被引量:14
  • 2Oksendal B. Stochastic Differential Equations:an Introduction with Applications[ M]. 5th ed. Berlin:Springer- Verlag, 1998.
  • 3Mao X. Stochastic Differential Equations and Applications[ M]. Chichester:Horwood, 1997.
  • 4Sobczyk K. Stochastic Differential Equations with Application to Physics and Engineering[ M]. Dordrecht:Kluwer Academic, 1991.
  • 5Hobson D, Rogers L. Complete models with stochastic volatility[ J]. Math Finance,1998,8.27 -48.
  • 6It6 K. On stochastic differential equations[ J]. Mem Am Math Soc, 1951,4:91 -118.
  • 7Kloeden P E, Platen E. Numerical Solution of Stochastic Differential Equations[ M ]. Berlin:Springer- Verlag, 1992.
  • 8Maruyama G. Continuous Markov processes and stochastic equations [ J]. Rend Circ Mat Palermo, 1955,4:48 - 90.
  • 9Milstein G N. Approximate integration of stochastic differential equations [ J ]. Theory Prob Appl, 1974,19 (3) :557 - 562.
  • 10Rumelin W. Numerical treatment of stochastic differential equations[ J]. SIAM J Numer Anal, 1982,19(3 ) :604 -613.

引证文献4

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部