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Using Bayesian variable selection methods to choose style factors in global stock return models

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  • Hall, Anthony D.
  • Hwang, Soosung
  • Satchell, Stephen E.

Abstract

This paper applies Bayesian variable selection methods from the statistics literature to give guidance in the decision to include/omit factors in a global (linear factor) stock return model. Once one has accounted for country and sector, it is possible to see which style or styles best explains current asset returns. The study suggests that global style is not an important component once country and sector have been accounted for.

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File URL: http://www.sciencedirect.com/science/article/B6VCY-476T302-4/2/bb059e7d36f77747977ee17919ca184d
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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 26 (2002)
Issue (Month): 12 ()
Pages: 2301-2325

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Handle: RePEc:eee:jbfina:v:26:y:2002:i:12:p:2301-2325

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Web page: http://www.elsevier.com/locate/jbf

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References

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  1. Huberman, Gur & Kandel, Shmuel & Stambaugh, Robert F, 1987. " Mimicking Portfolios and Exact Arbitrage Pricing," Journal of Finance, American Finance Association, vol. 42(1), pages 1-9, March.
  2. Kuo, G. W. & Satchell, S. E., 1998. "Global Equity Styles and Industry Effects: Portfolio Construction via Dummy Variables," Cambridge Working Papers in Economics 9807, Faculty of Economics, University of Cambridge.
  3. Eugene F. Fama & Kenneth R. French, 1998. "Value versus Growth: The International Evidence," Journal of Finance, American Finance Association, vol. 53(6), pages 1975-1999, December.
  4. Smith, Michael & Kohn, Robert, 2000. "Nonparametric seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 98(2), pages 257-281, October.
  5. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
  6. Smith, Michael & Kohn, Robert, 1996. "Nonparametric regression using Bayesian variable selection," Journal of Econometrics, Elsevier, vol. 75(2), pages 317-343, December.
  7. Lehmann, Bruce N. & Modest, David M., 1988. "The empirical foundations of the arbitrage pricing theory," Journal of Financial Economics, Elsevier, vol. 21(2), pages 213-254, September.
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Cited by:
  1. Steve Satchell & Soosung Hwang, 2001. "GARCH Model with Cross-sectional Volatility; GARCHX Models," Working Papers wp01-16, Warwick Business School, Finance Group.
  2. Giacomo Raffaelli & Matteo Marsili, 2006. "Risk bubbles and market instability," Working Papers wp06-22, Warwick Business School, Finance Group.
  3. Soosung Hwang & Steve Satchell, 2005. "Valuing information using utility functions: how much should we pay for linear factor models?," The European Journal of Finance, Taylor & Francis Journals, vol. 11(1), pages 1-16.
  4. G. Christodoulakis & E. Mamatzakis, 2010. "Return attribution analysis of the UK insurance portfolios," Annals of Finance, Springer, vol. 6(3), pages 405-420, July.
  5. Ericsson, Johan & Karlsson, Sune, 2003. "Choosing Factors in a Multifactor Asset Pricing Model: A Bayesian Approach," Working Paper Series in Economics and Finance 524, Stockholm School of Economics, revised 12 Feb 2004.
  6. Reiner Franke, 2008. "A Short Note on the Problematic Concept of Excess Demand in Asset Pricing Models with Mean-Variance Optimization," Working Papers wp08-02, Warwick Business School, Finance Group.
  7. Christian Pedersen & Stephen Satchell, 2003. "Can NN-algorithms and macroeconomic data improve OLS industry returns forecasts?," The European Journal of Finance, Taylor & Francis Journals, vol. 9(3), pages 273-289.

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