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Dynamic Portfolio Choice: A Simulation Approach

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Author Info
Michael W. Brandt (The Wharton School)
Amit Goyal (Anderson School of Management)
Pedro Santa-Clara (Anderson School of Management)
Abstract

We present a simulation-based method for solving realistic portfolio choice problems that potentially involve non-standard preferences and a large number of assets with arbitrary return distribution. Specifically, the return distribution can be time-varying as a function of many observable or unobservable state variables and can even be path-dependent. Furthermore, the method is flexible enough to accommodate intermediate consumption, parameter and model uncertainty, and portfolio constraints. We first establish the properties of the method for the choice between a stock index and cash when the stock returns are either iid or predictable by the dividend yield. We then explore the optimal asset allocation across ten industry portfolios that exhibit momentum through its empirical pattern of own- and cross-serial correlations of returns.

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Paper provided by Anderson Graduate School of Management, UCLA in its series University of California at Los Angeles, Anderson Graduate School of Management with number 1003.

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Date of creation: 01 May 2001
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Handle: RePEc:cdl:anderf:1003

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Cox, John C. & Huang, Chi-fu, 1989. "Optimal consumption and portfolio policies when asset prices follow a diffusion process," Journal of Economic Theory, Elsevier, vol. 49(1), pages 33-83, October. [Downloadable!] (restricted)
  2. Brennan, Michael J. & Schwartz, Eduardo S. & Lagnado, Ronald, 1997. "Strategic asset allocation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1377-1403, June. [Downloadable!] (restricted)
  3. Ait-Sahalia, Y. & Brandt, M.W., 2001. "Variable Selection for Portfolio Choice," Papers 34, Manitoba - Department of Economics.
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  4. Hansen, Lars Peter & Richard, Scott F, 1987. "The Role of Conditioning Information in Deducing Testable," Econometrica, Econometric Society, vol. 55(3), pages 587-613, May. [Downloadable!] (restricted)
  5. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 5(3), pages 357-86. [Downloadable!] (restricted)
  6. Pastor, Lubos & Stambaugh, Robert F., 2000. "Comparing asset pricing models: an investment perspective," Journal of Financial Economics, Elsevier, vol. 56(3), pages 335-381, June. [Downloadable!] (restricted)
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  7. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December. [Downloadable!] (restricted)
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  8. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-79, March. [Downloadable!] (restricted)
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  9. Ravi Jagannathan & Tongshu Ma, 2003. "Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps," Journal of Finance, American Finance Association, vol. 58(4), pages 1651-1684, 08. [Downloadable!] (restricted)
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  10. Treynor, Jack L & Black, Fischer, 1973. "How to Use Security Analysis to Improve Portfolio Selection," Journal of Business, University of Chicago Press, vol. 46(1), pages 66-86, January. [Downloadable!] (restricted)
  11. Mark Britten-Jones, 1999. "The Sampling Error in Estimates of Mean-Variance Efficient Portfolio Weights," Journal of Finance, American Finance Association, vol. 54(2), pages 655-671, 04. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Viktoria Hnatkovska & Martin Evans, 2005. "International Capital Flows in a World of Greater Financial Integration," Computing in Economics and Finance 2005 419, Society for Computational Economics. [Downloadable!]
  2. Martin D. D. Evans & Viktoria Hnatkovska, 2005. "International Capital Flows, Returns and World Financial Integration," NBER Working Papers 11701, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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