基于CRRA效用准则的资产负债管理

中国管理科学 ›› 2014, Vol. 22 ›› Issue (10): 1-8.

• 论文 • 下一篇

基于CRRA效用准则的资产负债管理

曾燕¹, 李仲飞², 朱书尚², 伍慧玲³

1. 中山大学岭南(大学)学院, 广东广州 510275;
2. 中山大学管理学院, 广东广州 510275;
3. 中央财经大学中国精算研究院, 北京 100081

收稿日期:2013-04-19 修回日期:2014-01-26 出版日期:2014-10-20 发布日期:2014-10-20
作者简介:曾燕（1984-），男（汉族），江西吉安人，中山大学岭南学院副教授，博士，博士后，研究方向：投资决策、保险精算、金融风险管理.
基金资助:
国家自然科学基金重点项目（71231008）；国家自然科学基金青年项目（71201173，11301562）；教育部人文社会科学研究青年基金项目（12YJCZH267，12YJCZH219）；广东省自然科学资助项目（S2013010011959）；中央高校基本科研业务费专项资金资助项目（13wkpy28）

Asset-liability Management based on CRRA Utility Criterion

ZENG Yan¹, LI Zhong-fei², ZHU Shu-shang², WU Hui-ling³

1. Lingnan (University) College, Sun Yat-sen University, Guangzhou 510275, China;
2. Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275, China;
3. China Institute for Actuarial Science, Central University of Finance and Economics, Beijing 100081, China

Received:2013-04-19 Revised:2014-01-26 Online:2014-10-20 Published:2014-10-20

摘要/Abstract

摘要： 本文在连续时间不完备市场框架下，考虑了投资者终端时刻资产负债比率的期望效用最大化问题。假设金融市场由1个无风险资产与多个风险资产构成，其中风险资产的价格过程由几何布朗运动刻画；投资者在整个投资时间水平内面临一个由几何布朗运动刻画的外生负债。利用随机动态规划方法，给出了相应的HJB方程与验证定理，并得到了最优投资策略与最优值函数的解析表达式。进一步，通过敏感性分析与数值算例发现：（1）外生负债的预期增长率与当前时刻的资产负债比率对最优投资策略没有影响；（2）在不考虑外生负债时，在最优策略下，投资到风险资产上的资金比例随着风险资产波动率或相对风险厌恶系数的增大而减小，而在考虑外生负债时，并非如此，只有满足一定条件时最优投资策略才是风险资产波动率或相对风险厌恶系数的减函数；（3）不考虑外生负债时，最优值函数是投资时间水平与风险资产预期收益率的增函数，风险资产波动率的减函数，但在考虑外生负债时该结论只在各参数满足一定关系时才成立，否则结论相反。

关键词: CRRA效用, 资产负债率, 资产负债管理, Hamilton-Jacobi-Bellman方程, 最优策略

Abstract: An optimization problem of maximizing the expected utility from an investor's terminal ratio of asset to liability is studied in a continuous-time incomplete financial market. Suppose that the financial market consists of one risk-free asset and multiple risky assets, whose price processes are modeled by geometric Brownian motions, and that during the investment process, the investor is faced with an uncontrollable exogenous liability, which is also described by a geometric Brownian motion. Corresponding HJB equation and verification theorem are provided, and the closed-form expressions for the optimal investment strategy and optimal value function are derived by adopting the stochastic dynamic programming approach. Furthermore, by employing sensitivity analysis and numerical examples, it can be found that: (1) The optimal investment strategy is independent of the appreciate rate of the exogenous liability and the current ratio of asset and liability;(2) in the case without exogenous liability, the optimal proportions of investing on the risky assets decrease as the volatility of the risky assets or the relative risk aversion coefficient increases, but in the case with exogenous liability, this result only holds when the parameters satisfy some conditions;(3) in the case without exogenous liability, the optimal value function increases as the investment time horizon or the appreciate rate of the risky assets becomes larger, and decreases as the volatility of the risky assets becomes larger, but this result also only holds when the parameters satisfy some conditions.

Key words: CRRA utility, asset-liability ratio, asset-liability management, Hamilton-Jacobi-Bellman equation, optimal strategy

中图分类号:

F830.59

曾燕, 李仲飞, 朱书尚, 伍慧玲. 基于CRRA效用准则的资产负债管理[J]. 中国管理科学, 2014, 22(10): 1-8.

ZENG Yan, LI Zhong-fei, ZHU Shu-shang, WU Hui-ling. Asset-liability Management based on CRRA Utility Criterion[J]. Chinese Journal of Management Science, 2014, 22(10): 1-8.

参考文献

[1] Sharpe W F, Tinnt L G. Liabilities-A new approach[J]. Journal of Portfolio Management, 1990, 16(2): 5-10.

[2] Leippold M, Trojani F, Vanini P. A geometric approach to multiperiod mean variance optimization of assets and liabilities[J].Journal of Economics Dynamics and control, 2004, 28(6): 1079-1113.

[3] 金秀,黄小原.资产负债管理多阶段模型及应用[J].中国管理科学,2006,14(5): 38-44.

[4] Chiu M C, Li Duan. Asset and liability management under a continuous-time mean-variance optimization framework[J].Insurance: Mathematics and Economics, 2006, 39(3): 330-355.

[5] 房海滨,王春峰. 基于利率风险的保险公司资产负债管理研究[J]. 中国管理科学,2007, 15(2): 9-14.

[6] Yi Lan, Li Duan, Li Zhongfei. Multi-period portfolio selection for asset-liability management with uncertain investment horizon[J]. Journal of Industrial and Management Optimization, 2008, 4(3): 535-552.

[7] Xie Shuxiang, Li Zhongfei, Wang Shouyang. Continuous-time portfolio selection with liability: Mean-variance model and stochastic LQ approach[J]. Insurance: Mathematics and Economics, 2008, 42(3): 943-953.

[8] Chen Ping, Yang Hailiang, Yin G. Markowitz's mean-variance asset-liability management with regime switching: A continous-time model[J]. Insurance: Mathematics and Economics, 2008, 43(3): 456-465.

[9] Xie Shuxiang. Continuous-time mean-variance portfolio selection with liability and regime switching[J]. Insurance: Mathematics and Economics, 2009, 45(1): 148-155.

[10] Chiu M C, Li Duan. Asset-liability management under the safety-first principle[J]. Journal of Optimization Theory and Applications, 2009, 143(3): 455-478.

[11] Chen Ping, Yang Hailang. Markowitz's mean-variance asset-liability management with regime switching: A multi-period model[J].Applied Mathematical Finance, 2011, 18(1): 29-50.

[12] Zeng Yan, Li Zhongfei. Asset-liability management under benchmark and mean-variance criteria in a jump diffusion market[J].Journal of Systems Science and Complexity, 2011, 24(2): 317-327.

[13] Chen Ping. Asset-liability management under regime-switching models[D]. Hong Kong: University of Hong Kong, 2009.

[14] 常浩,荣喜民. 负债情形下效用投资组合选择的最优控制[J].应用概率统计, 2012, 28: 457-470.

[15] 常浩,荣喜民. HO-Lee利率模型下资产-负债管理的最优投资策略[J].应用概率统计,2012, 29: 337-346.

[16] Giamouridis D, Sakkas A, Tessaromatis N. Dynamic asset allocation with liabilities[J]. Working Paper, 2013.

[17] Fleming W H, Soner H M. Controlled Markov process and viscosity solutions[M]. 2nd ed. New York: Springer, 2006.

[18] Yong Jiongmin, Zhou Xunyu. Stochastic controls: Hamiltonian systems and HJB equations[M]. New York: Springer, 1999

基于CRRA效用准则的资产负债管理

Asset-liability Management based on CRRA Utility Criterion

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

Metrics

本文评价

推荐阅读 10

[1]	柏庆国, 徐贤浩. 碳限额与交易政策下易变质产品的最优库存策略[J]. 中国管理科学, 2017, 25(7): 28-37.
[2]	柏庆国, 徐贤浩. 带学习效应的双渠道供应链库存策略研究[J]. 中国管理科学, 2015, 23(2): 59-69.
[3]	冯宝军, 闫达文, 迟国泰. 基于非线性区间数风险控制的资产负债优化模型[J]. 中国管理科学, 2012, (1): 79-90.
[4]	房海滨, 王春峰. 基于利率风险的保险公司资产负债管理研究[J]. 中国管理科学, 2007, 15(2): 9-14.
[5]	金秀, 黄小原. 资产负债管理多阶段模型及应用[J]. 中国管理科学, 2006, (5): 38-44.
[6]	郭文旌, 顾荣宝. 含期权的最优投资消费决策[J]. 中国管理科学, 2005, (5): 23-28.
[7]	刘夏清, 李林, 杨招军. 指数效用下企业的风险投资策略[J]. 中国管理科学, 2003, (2): 66-69.