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Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective

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  • Doron Avramov

    (IDC Herzliya, Herzliya 4610101, Israel)

  • Guy Kaplanski

    (Bar-Ilan University, Ramat-Gan 5290002, Israel)

  • Avanidhar Subrahmanyam

    (Anderson Graduate School of Management, University of California at Los Angeles, Los Angeles, California 90095)

Abstract

Regression regularization techniques show that deviations of accounting fundamentals from their preceding moving averages forecast drifts in equity market prices. Deviations-based predictability survives a comprehensive set of prominent anomalies. The profitability applies strongly to the long leg and survives value weighting and excluding microcaps. We provide evidence that the predictability arises because investors anchor to recent means of fundamentals. A factor based on our fundamentals-based index yields economically significant intercepts after controlling for a comprehensive set of other factors, including those based on profit margins and earnings drift.

Suggested Citation

  • Doron Avramov & Guy Kaplanski & Avanidhar Subrahmanyam, 2022. "Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective," Management Science, INFORMS, vol. 68(10), pages 7658-7681, October.
    • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:10:p:7658-7681
    DOI: 10.1287/mnsc.2021.4202
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