Investor Psychology and Security Market Under‐ and Overreactions

Психология инвесторов и недо- и переакции на рынке ценных бумаг
David Hirshleifer, Avanidhar Subrahmanyam, Kent Daniel
1998-12-01

biased self-attributioninvestor overconfidencemomentumreturn predictabilityunder- and overreactions
ABSTRACT We propose a theory of securities market under‐ and overreactions based on two well‐known psychological biases: investor overconfidence about the precision of private information; and biased self‐attribution, which causes asymmetric shifts in investors' confidence as a function of their investment outcomes. We show that overconfidence implies negative long‐lag autocorrelations, excess volatility, and, when managerial actions are correlated with stock mispricing, public‐event‐based return predictability. Biased self‐attribution adds positive short‐lag autocorrelations (“momentum”), short‐run earnings “drift,” but negative correlation between future returns and long‐term past stock market and accounting performance. The theory also offers several untested implications and implications for corporate financial policy.
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Biased self-attribution also implies a negative relationship between future returns and long-term past stock-market and accounting performance.
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Biased self-attribution produces positive short-lag autocorrelations, momentum, and short-run earnings drift.
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Overconfidence generates negative long-lag return autocorrelations, excess volatility, and predictable returns after public events when managerial actions correlate with stock mispricing.
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The paper develops a theory of market under- and overreactions driven by investor overconfidence and biased self-attribution.
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The theory yields additional testable predictions and implications for corporate financial policy.

Securities market (stock market) behavior under investor psychology biases

market under- and overreactions driven by investor overconfidence and biased self-attribution, including return autocorrelations, excess volatility, earnings drift, and return predictability

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Publication Date
1998-12-01
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Authors
David Hirshleifer
Avanidhar Subrahmanyam
Kent Daniel
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