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Using Bayesian Variable Selection Methods to Choose Style Factors in Global Stock Return

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Author Info
Anthony D. Hall () (School of Finance and Economics, University of Technology, Sydney)
S. Hwang
Steve Satchell

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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. This study does not find compelling evidence for global styles, once country and sector have been accounted for.

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Paper provided by Quantitative Finance Research Centre, University of Technology, Sydney in its series Research Paper Series with number 31.

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Date of creation: 01 Mar 2000
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Handle: RePEc:uts:rpaper:31

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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. Smith, M. & Kohn, R., 1998. "Nonparametric Seemingly Unrelated Regression," Monash Econometrics and Business Statistics Working Papers 7/98, Monash University, Department of Econometrics and Business Statistics.
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  2. Smith, Michael & Kohn, Robert, 1996. "Nonparametric regression using Bayesian variable selection," Journal of Econometrics, Elsevier, vol. 75(2), pages 317-343, December. [Downloadable!] (restricted)
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  3. 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.
  4. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70. [Downloadable!] (restricted)
  5. 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. [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. 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. [Downloadable!]
  2. Soosung Hwang & Steve E. Satchell, 2005. "GARCH model with cross-sectional volatility: GARCHX models," Applied Financial Economics, Taylor and Francis Journals, vol. 15(3), pages 203-216, February. [Downloadable!] (restricted)
  3. Soosung Hwang & Steve Satchell, 2005. "Valuing information using utility functions: how much should we pay for linear factor models?," European Journal of Finance, Taylor and Francis Journals, vol. 11(1), pages 1-16, February. [Downloadable!] (restricted)
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