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

Author

Listed:
  • Anthony Hall

    (University of Technology)

  • Soosung Hwang

    (City University Business School)

  • Stephen E. Satchell

    (Trinity College)

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.

Suggested Citation

  • Anthony Hall & Soosung Hwang & Stephen E. Satchell, 2000. "Using Bayesian Variable Selection Methods to Choose Style Factors in Global Stock Return Models," Econometric Society World Congress 2000 Contributed Papers 1213, Econometric Society.
    • Handle: RePEc:ecm:wc2000:1213
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    References listed on IDEAS

    as
    1. Smith, Michael & Kohn, Robert, 2000. "Nonparametric seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 98(2), pages 257-281, October.
    2. repec:bla:jfinan:v:53:y:1998:i:6:p:1975-1999 is not listed on IDEAS
    3. 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.
    4. Smith, Michael & Kohn, Robert, 1996. "Nonparametric regression using Bayesian variable selection," Journal of Econometrics, Elsevier, vol. 75(2), pages 317-343, December.
    5. 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.
    6. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ericsson, Johan & Karlsson, Sune, 2003. "Choosing Factors in a Multifactor Asset Pricing Model: A Bayesian Approach," SSE/EFI Working Paper Series in Economics and Finance 524, Stockholm School of Economics, revised 12 Feb 2004.
    2. Zura Kakushadze, 2014. "4-Factor Model for Overnight Returns," Papers 1410.5513, arXiv.org, revised Jun 2015.
    3. Zura Kakushadze & Jim Kyung-Soo Liew, 2015. "Custom v. Standardized Risk Models," Risks, MDPI, vol. 3(2), pages 1-27, May.
    4. 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.
    5. Soosung Hwang & Alexandre Rubesam, 2015. "The disappearance of momentum," The European Journal of Finance, Taylor & Francis Journals, vol. 21(7), pages 584-607, May.
    6. George A. Christodoulakis, 2008. "Asymmetric rotation of risk factors in a global portfolio," Journal of Risk Finance, Emerald Group Publishing, vol. 9(4), pages 391-403, August.
    7. Zura Kakushadze, 2015. "Heterotic Risk Models," Papers 1508.04883, arXiv.org, revised Jan 2016.
    8. G. Christodoulakis & E. Mamatzakis, 2010. "Return attribution analysis of the UK insurance portfolios," Annals of Finance, Springer, vol. 6(3), pages 405-420, July.
    9. Zura Kakushadze & Jim Kyung-Soo Liew, 2014. "Custom v. Standardized Risk Models," Papers 1409.2575, arXiv.org, revised May 2015.
    10. Soosung Hwang & Steve Satchell, 2005. "GARCH model with cross-sectional volatility: GARCHX models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(3), pages 203-216.
    11. Zura Kakushadze, 2014. "Factor Models for Alpha Streams," Papers 1406.3396, arXiv.org, revised Oct 2014.
    12. 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.
    13. Zura Kakushadze & Willie Yu, 2016. "Statistical Risk Models," Papers 1602.08070, arXiv.org, revised Jan 2017.
    14. Zura Kakushadze, 2014. "Russian-Doll Risk Models," Papers 1412.4342, arXiv.org, revised Nov 2017.
    15. Zura Kakushadze & Willie Yu, 2016. "Multifactor Risk Models and Heterotic CAPM," Papers 1602.04902, arXiv.org, revised Mar 2016.

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