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The predictability of industry portfolio returns

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  • Y. Li
  • W. Lu
  • M. Zhong

Abstract

This article studies the predictability of stock returns from industry portfolios. Consistent with the habit formation framework of Campbell and Cochrane (1999, 2000), we find that reasonably large portions of predictability of long-horizon industry portfolio returns are explained by the ratio of aggregate consumption in surplus of habit or its instrument, the consumption-wealth ratio. The time-varying βs and, more importantly, time-varying market risk premium associated with either the surplus consumption ratio or the consumption-wealth ratio help explain the predictable variation of long-horizon expected returns on over half of the industry portfolios. The conditional Capital Asset Pricing Model (CAPM) with βs varying with the proposed conditioning variable performs better than the static CAPM, but not as well as the Fama-French (1993, 1997) three-factor model in explaining the time-series variability of returns.

Suggested Citation

  • Y. Li & W. Lu & M. Zhong, 2011. "The predictability of industry portfolio returns," Applied Economics, Taylor & Francis Journals, vol. 43(22), pages 2865-2881.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:22:p:2865-2881
    DOI: 10.1080/00036840802360260
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    Cited by:

    1. Božović, Miloš, 2023. "Can a dynamic correlation factor improve the pricing of industry portfolios?," Finance Research Letters, Elsevier, vol. 53(C).
    2. Auer Benjamin R., 2012. "Lassen sich CAPM, HCAPM und CCAPM durch konsumbasierte zeitvariable Parameterspezifikation rehabilitieren? / Can Time-varying Parameter Specification Based on Consumption Variables Rehabilitate CAPM, ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(5), pages 518-544, October.

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