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Asset class allocation and downside risk: does the investment horizon matter?

Author

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  • Brouwer, Frank

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Ruiter, Hans de

Abstract

The main objective of this paper is to analyze within the Mean-Downside Risk (MDR)-framework the relevance of the investment horizon for deriving optimal US asset class allocations. The choice of this risk framework is motivated by its close connection towards the way investors perceive risk and the fact that it is much more general than the often used Mean-Variance (MV) analysis. Unlike the MV-studies of Levy and Gunthorpe (1993) and Thorley (1995) we do not assume returns to follow a random walk. Instead we use a vector autoregressive specification to model the historical time series such that short-term first-order auto- and crosscovariances are preserved. Different from the MV-paper of Lee (1990) is that we explicitly model the short-term first-order auto- and crosscovariances and that we consider more than two asset classes. Our simulation tests show the weight assigned to stocks to be positively related to the length of the investment horizon. This contradicts the MV-findings of Lee (1990), Levy and Gunthorpe (1993) and Thorley (1995). The relation appears to be most apparent for investors with a low downside-risk aversion. However, even investors whose downside-risk, aversion parameter goes to infinity end up with 11% in stocks for long horizons. This conclusion is based on various assumptions. In order to get insight in the robustness of our results we carried out an extensive sensitivity analysis with respect to the inputs. Only in the situation where we assume a form of investor behavior that is beyond the one that is

Suggested Citation

  • Brouwer, Frank & Ruiter, Hans de, 1997. "Asset class allocation and downside risk: does the investment horizon matter?," Serie Research Memoranda 0012, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  • Handle: RePEc:vua:wpaper:1997-12
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    References listed on IDEAS

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    1. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Campbell, J.Y. & Shiller, R.J., 1988. "Stock Prices, Earnings And Expected Dividends," Papers 334, Princeton, Department of Economics - Econometric Research Program.
    4. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-126, March.
    5. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    6. Mao, James C T, 1970. "Survey of Capital Budgeting: Theory and Practice," Journal of Finance, American Finance Association, vol. 25(2), pages 349-360, May.
    7. Campbell, John Y., 1987. "Stock returns and the term structure," Journal of Financial Economics, Elsevier, vol. 18(2), pages 373-399, June.
    8. Campbell, John Y & Shiller, Robert J, 1988. " Stock Prices, Earnings, and Expected Dividends," Journal of Finance, American Finance Association, vol. 43(3), pages 661-676, July.
    9. Dan J. Laughhunn & John W. Payne & Roy Crum, 1980. "Managerial Risk Preferences for Below-Target Returns," Management Science, INFORMS, vol. 26(12), pages 1238-1249, December.
    10. 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.
    11. Paul A. Samuelson, 2011. "Lifetime Portfolio Selection by Dynamic Stochastic Programming," World Scientific Book Chapters, in: Leonard C MacLean & Edward O Thorp & William T Ziemba (ed.), THE KELLY CAPITAL GROWTH INVESTMENT CRITERION THEORY and PRACTICE, chapter 31, pages 465-472, World Scientific Publishing Co. Pte. Ltd..
    12. Bawa, Vijay S., 1978. "Safety-First, Stochastic Dominance, and Optimal Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 13(2), pages 255-271, June.
    13. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    14. Friend, Irwin & Blume, Marshall E, 1975. "The Demand for Risky Assets," American Economic Review, American Economic Association, vol. 65(5), pages 900-922, December.
    15. Kroll, Yoram & Levy, Haim & Markowitz, Harry M, 1984. "Mean-Variance versus Direct Utility Maximization," Journal of Finance, American Finance Association, vol. 39(1), pages 47-61, March.
    16. Levy, H & Markowtiz, H M, 1979. "Approximating Expected Utility by a Function of Mean and Variance," American Economic Review, American Economic Association, vol. 69(3), pages 308-317, June.
    17. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
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    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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