PORTFOLIO CHOICE VIA QUANTILES

被引:100
作者
He, Xue Dong [2 ]
Zhou, Xun Yu [1 ,3 ]
机构
[1] Univ Oxford, Inst Math, Oxford OX1 3LB, England
[2] Columbia Univ, New York, NY 10027 USA
[3] Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Shatin, Hong Kong, Peoples R China
关键词
portfolio choice; continuous time; quantile function; law invariant measure; utility maximization; Yaari's dual theory; goal-reaching; behavioral finance; probability distortion; mutual fund theorem; PROSPECT-THEORY; UTILITY-FUNCTIONS; EXPECTED UTILITY; RISK MEASURES; DUAL THEORY; SELECTION; COMONOTONICITY; OPTIMIZATION; PROBABILITY; INVESTMENT;
D O I
10.1111/j.1467-9965.2010.00432.x
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
A portfolio choice model in continuous time is formulated for both complete and incomplete markets, where the quantile function of the terminal cash flow, instead of the cash flow itself, is taken as the decision variable. This formulation covers a wide body of existing and new models with law-invariant preference measures, including expected utility maximization, mean-variance, goal reaching, Yaari's dual model, Lopes' SP/A model, behavioral model under prospect theory, as well as those explicitly involving VaR and CVaR in objectives and/or constraints. A solution scheme to this quantile model is proposed, and then demonstrated by solving analytically the goal-reaching model and Yaari's dual model. A general property derived for the quantile model is that the optimal terminal payment is anticomonotonic with the pricing kernel (or with the minimal pricing kernel in the case of an incomplete market if the investment opportunity set is deterministic). As a consequence, the mutual fund theorem still holds in a market where rational and irrational agents co-exist.
引用
收藏
页码:203 / 231
页数:29
相关论文
共 43 条
[1]  
[Anonymous], 2008, Stochastic Finance
[2]   Optimal portfolio choice under loss aversion [J].
Berkelaar, AB ;
Kouwenberg, R ;
Post, T .
REVIEW OF ECONOMICS AND STATISTICS, 2004, 86 (04) :973-987
[3]   Reaching goals by a deadline: Digital options and continuous-time active portfolio management [J].
Browne, S .
ADVANCES IN APPLIED PROBABILITY, 1999, 31 (02) :551-577
[4]   Risk-constrained dynamic active portfolio management [J].
Browne, S .
MANAGEMENT SCIENCE, 2000, 46 (09) :1188-1199
[5]   Law invariant concave utility functions and optimization problems with monotonicity and comonotonicity constraints [J].
Carlier, Guillaume ;
Dana, Rose -Anne .
STATISTICS & RISK MODELING, 2006, 24 (01) :127-152
[6]   New Measures for Performance Evaluation [J].
Cherny, Alexander ;
Madan, Dilip .
REVIEW OF FINANCIAL STUDIES, 2009, 22 (07) :2571-2606
[7]  
Cvitanic J., 1992, The Annals of Applied Probability, V2, P767, DOI 10.1214/aoap/1177005576
[8]   Portfolio Optimization with Mental Accounts [J].
Das, Sanjiv ;
Markowitz, Harry ;
Scheid, Jonathan ;
Statman, Meir .
JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 2010, 45 (02) :311-334
[9]   Risk measures and comonotonicity: A review [J].
Dhaene, J. ;
Vanduffel, S. ;
Goovaerts, M. J. ;
Kaas, R. ;
Tang, Q. ;
Vyncke, D. .
STOCHASTIC MODELS, 2006, 22 (04) :573-606
[10]   Comonotonic approximations for optimal portfolio selection problems [J].
Dhaene, J ;
Vanduffel, S ;
Goovaerts, MJ ;
Kaas, R ;
Vyncke, D .
JOURNAL OF RISK AND INSURANCE, 2005, 72 (02) :253-300