Hongye Guo

Hongye Guo

Contact Information

Research Interests: Empirical Asset Pricing, Behavioral Finance

Links: CV, Personal Website

Research

  • Hongye Guo and Jessica Wachter, Correlation neglect in asset prices. Abstract

    The U.S. stock market’s return during the first month of a quarter positively predicts the second month’s return, which then negatively predicts the first month’s return of the next quarter. The pattern arises from a model in which investors do not fully recognize that earnings announced in the second month of a quarter are inherently similar to those announced in the first month, thereby overreacting to such predictably repetitive earnings. The same pattern exists in the cross-section and time series of industry returns. Evidence from survey data lends support to the mechanism of correlation neglect.

  • Hongye Guo and Jessica Wachter (2025), “Superstitious” Investors, Review of Asset Pricing Studies, 15 (1), pp. 1-45. Related
  • Hongye Guo, Hengjie Ai, Ravi Bansal, Amir Yaron (Working), Identifying preference for early resolution from asset prices.
  • Winston Wei Dou, Hui Chen, Hongye Guo, Yan Ji (Working), Feedback and Contagion through Distressed Competition.
  • Hongye Guo (Working), Earnings Extrapolation and Predictable Stock Market Returns. Abstract

    The U.S. stock market’s return during the first month of a quarter correlates strongly with returns in future months, but the correlation is negative (positive) if the future month is (is not) the first month of a quarter. These effects offset, leaving the market return with its weak unconditional predictive ability known to the literature. The pattern accords with a model in which investors extrapolate announced earnings to predict future earnings, not recognizing that earnings in the first month of a quarter are inherently less predictable than in other months. Survey data support this model, as does out-of-sample evidence across industries and international markets. These results seriously challenge the Efficient Market Hypothesis and advance a novel mechanism of expectation formation.

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Knowledge @ Wharton - 2025/12/16
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