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Learning about risk-factor exposures from earnings: Implications for asset pricing and manipulation

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  • Beyer, Anne
  • Smith, Kevin C.

Abstract

When valuing a firm, investors must assess not only its expected future cash flows but also the systematic risk inherent in these cash flows. In this paper, we model the process by which investors may learn about firms' betas from earnings and how this learning process affects the relationship between earnings, announcement returns, and expected future returns. The model's main predictions are: (i) earnings response coefficients vary with macroeconomic conditions and are lower in upswings than downturns; (ii) earnings positively and negatively predict future returns in economic upswings and downturns, respectively, leading to return autocorrelation; and (iii) real earnings management rises in economic downturns and contributes to systematic risk in the economy. These predictions are directly attributable to investors' uncertainty regarding firms' exposures to systematic risk.

Suggested Citation

  • Beyer, Anne & Smith, Kevin C., 2021. "Learning about risk-factor exposures from earnings: Implications for asset pricing and manipulation," Journal of Accounting and Economics, Elsevier, vol. 72(1).
    • Handle: RePEc:eee:jaecon:v:72:y:2021:i:1:s0165410121000197
    DOI: 10.1016/j.jacceco.2021.101404
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    References listed on IDEAS

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