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Predictability and the earnings-returns relation

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  • Sadka, Gil
  • Sadka, Ronnie

Abstract

This paper studies the effects of predictability on the earnings-returns relation for individual firms and for the aggregate. We demonstrate that prices better anticipate earnings growth at the aggregate level than at the firm level, which implies that random-walk models are inappropriate for gauging aggregate earnings expectations. Moreover, we show that the contemporaneous correlation of earnings growth and stock returns decreases with the ability to predict future earnings. Our results may therefore help explain the apparently conflicting recent evidence that the earnings-returns relation is negative at the aggregate level but positive at the firm level.

Suggested Citation

  • Sadka, Gil & Sadka, Ronnie, 2009. "Predictability and the earnings-returns relation," Journal of Financial Economics, Elsevier, vol. 94(1), pages 87-106, October.
  • Handle: RePEc:eee:jfinec:v:94:y:2009:i:1:p:87-106
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. J├Ąckel, Christoph, 2013. "Model uncertainty and expected return proxies," MPRA Paper 51978, University Library of Munich, Germany.
    2. Yunhao Chen & Xiaoquan Jiang & Bong-Soo Lee, 2015. "Long-Term Evidence on the Effect of Aggregate Earnings on Prices," Financial Management, Financial Management Association International, vol. 44(2), pages 323-351, June.
    3. Sadka, Ronnie, 2011. "Liquidity risk and accounting information," Journal of Accounting and Economics, Elsevier, vol. 52(2), pages 144-152.
    4. Zolotoy, Leon & Frederickson, James R. & Lyon, John D., 2017. "Aggregate earnings and stock market returns: The good, the bad, and the state-dependent," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 157-175.
    5. Choi, Jung Ho & Kalay, Alon & Sadka, Gil, 2016. "Earnings news, expected earnings, and aggregate stock returns," Journal of Financial Markets, Elsevier, vol. 29(C), pages 110-143.
    6. Lin, Hai & Wang, Junbo & Wu, Chunchi, 2014. "Predictions of corporate bond excess returns," Journal of Financial Markets, Elsevier, vol. 21(C), pages 123-152.
    7. Panos Patatoukas & Hongjun Yan, 2009. "The Impact of Earnings Surprises on Stock Returns: Theory and Evidence," Yale School of Management Working Papers amz2517, Yale School of Management.
    8. Hyunbae Chun & Jung-Wook Kim & Randall Morck, 2016. "Productivity growth and stock returns: firm- and aggregate-level analyses," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3644-3664, August.
    9. Gallo, Lindsey A. & Hann, Rebecca N. & Li, Congcong, 2016. "Aggregate earnings surprises, monetary policy, and stock returns," Journal of Accounting and Economics, Elsevier, vol. 62(1), pages 103-120.
    10. Bruno Deschamps, 2015. "Are aggregate corporate earnings forecasts unbiased and efficient?," Review of Quantitative Finance and Accounting, Springer, vol. 45(4), pages 803-818, November.
    11. repec:eee:joacli:v:34:y:2015:i:c:p:39-57 is not listed on IDEAS
    12. repec:kob:tjrevi:dec2016:v:6:p:95-122 is not listed on IDEAS
    13. William Forbes & Aloysius Igboekwu, 2015. "The explanatory power of representative agent earnings momentum models," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 473-492, April.
    14. Jorgensen, Bjorn & Li, Jing & Sadka, Gil, 2012. "Earnings dispersion and aggregate stock returns," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 1-20.

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