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題名:Pension Fund Management Using the Markov Chain Approximation
書刊名:Asia Pacific Management Review
作者:Chang, Shih-chiehTu, Chang-yeTsai, Chenghsien
出版日期:2005
卷期:10:4
頁次:頁259-266
主題關鍵詞:Stochastic controlMarkov chain approximationPension fund management
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:22
Funding policy and portfolio selection are two crucial issues in pension fund management. Merton (1969, 1971) initially explores these problems in a continuous time framework by constructing the Hamilton-Jacobi-Bellman (HJB) equations. This type of approach becomes complicated when control constraints are incorporate under an incomplete market. In this paper, we suggest using the Markov chain approximation methods proposed by Kushner and Dupuis (1992) to obtain the optimal solutions numerically. Monitoring mechanism linking plausible scenarios and numerical solutions are employed to scrutinize the contributions and asset allocations for defined benefit pension schemes. In the numerical illustration, we estimate the optimal strategies within a simplified two-asset opportunity set. The results show that the plan turnovers, the initial fund levels, and the time horizon heavily influence the optimal strategies.
期刊論文
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研究報告
1.Kushner, Harold J.(1997)。Existence of Optimal Controls for Variance Control。0。  new window
2.Kushner, Harold J.(1998)。Numerical Methods for Variance Control, with Applications to Optimization in Finance。0。  new window
圖書
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4.Kushner, Harold Joseph、Dupuis, Paul(1992)。Numerical Methods for Stochastic Control Problems in Continuous Time。Numerical Methods for Stochastic Control Problems in Continuous Time。New York, NY。  new window
 
 
 
 
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