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Can a dynamic correlation factor improve the pricing of industry portfolios?

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  • Božović, Miloš

Abstract

We investigate whether a common trait shared by the major price patterns can be used to characterize the average returns of industry portfolios. We use a factor exploiting the premium induced by stocks with low and unstable correlations with the market and include it in the standard asset pricing models. The factor reduces the magnitude of alphas in these models and universally improves the description of the industry returns as measured by the GRS statistics. The finding is robust across different industry divisions and portfolio weightings.

Suggested Citation

  • Božović, Miloš, 2023. "Can a dynamic correlation factor improve the pricing of industry portfolios?," Finance Research Letters, Elsevier, vol. 53(C).
  • Handle: RePEc:eee:finlet:v:53:y:2023:i:c:s1544612322008029
    DOI: 10.1016/j.frl.2022.103626
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    References listed on IDEAS

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    1. Brendan Elliot & Paul Docherty & Stephen Easton & Doowon Lee, 2018. "Profitability and investment†based factor pricing models," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(2), pages 397-421, June.
    2. Ľuboš Pástor & Robert F. Stambaugh, 1999. "Costs of Equity Capital and Model Mispricing," Journal of Finance, American Finance Association, vol. 54(1), pages 67-121, February.
    3. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    4. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    5. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    6. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    7. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    8. Y. Li & W. Lu & M. Zhong, 2011. "The predictability of industry portfolio returns," Applied Economics, Taylor & Francis Journals, vol. 43(22), pages 2865-2881.
    9. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    10. Wayne E. Ferson & Dennis H. Locke, 1998. "Estimating the Cost of Capital Through Time: An Analysis of the Sources of Error," Management Science, INFORMS, vol. 44(4), pages 485-500, April.
    11. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    12. Simin, Timothy, 2008. "The Poor Predictive Performance of Asset Pricing Models," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 355-380, June.
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    More about this item

    Keywords

    Asset pricing; Factor models; Excess returns; Industry portfolios; Dynamic correlations;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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