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Timing and diversification: A state-dependent asset allocation approach

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Author Info
Martin Hess
Abstract

The influence of changing economic environment leads the distribution of stock market returns to be time-varying. A conditionally optimal investment hence requires a dynamic adjustment of asset allocation. In this context, this paper examines the improvement in portfolio performance by simulating portfolio strategies that are conditioned on the Markov regime switching behaviour of stock market returns. Including a memory effect eliminates the empirical shortcoming of discrete state models, namely that they produce a standard and an extreme state in stock returns. So far, this has prevented the regimes from being used as a valuable conditioning variable. Based on a discrete state indicator variable, is presented evidence of considerable performance improvement relative to the static model due to optimal shifting between aggressive and well diversified portfolio structures.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal The European Journal of Finance.

Volume (Year): 12 (2006)
Issue (Month): 3 (April)
Pages: 189-204
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Handle: RePEc:taf:eurjfi:v:12:y:2006:i:3:p:189-204

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Related research
Keywords: Asymmetric stock return distribution; conditional asset pricing; dynamic diversification; Markov regime switching; timing;

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  2. Lamont, Owen & Polk, Christopher & Saa-Requejo, Jesus, 2001. "Financial Constraints and Stock Returns," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 14(2), pages 529-54.
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  3. Billio, Monica & Pelizzon, Loriana, 2000. "Value-at-Risk: a multivariate switching regime approach," Journal of Empirical Finance, Elsevier, vol. 7(5), pages 531-554, December. [Downloadable!] (restricted)
  4. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 15(4), pages 1137-1187.
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  6. Graham, John R. & Harvey, Campbell R., 1996. "Market timing ability and volatility implied in investment newsletters' asset allocation recommendations," Journal of Financial Economics, Elsevier, vol. 42(3), pages 397-421, November. [Downloadable!] (restricted)
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  7. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333. [Downloadable!] (restricted)
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  8. Mark, Nelson C., 1988. "Time-varying betas and risk premia in the pricing of forward foreign exchange contracts," Journal of Financial Economics, Elsevier, vol. 22(2), pages 335-354, December. [Downloadable!] (restricted)
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  10. Cecchetti, Stephen G & Lam, Pok-sang & Mark, Nelson C, 1990. "Mean Reversion in Equilibrium Asset Prices," American Economic Review, American Economic Association, vol. 80(3), pages 398-418, June. [Downloadable!] (restricted)
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  11. Wayne E. Ferson & Stephen R. Foerster & Donald B. Keim, . "Tests of Asset Pricing Models with Changing Expectations," Rodney L. White Center for Financial Research Working Papers 01-91, Wharton School Rodney L. White Center for Financial Research.
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  12. Chauvet, Marcelle & Potter, Simon, 2000. "Coincident and leading indicators of the stock market," Journal of Empirical Finance, Elsevier, vol. 7(1), pages 87-111, May. [Downloadable!] (restricted)
  13. Perez-Quiros, G. & Timmermann, A., 2001. "Business Cycle Asymmetries in Stock Returns: Evidence from Higher Order Moments and Conditional Densities," Papers 58, Quebec a Montreal - Recherche en gestion.
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  14. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December. [Downloadable!] (restricted)
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