Investor Overconfidence and Trading Volume

The proposition that investors are overconfident about their valuation and trading skills can explain high observed trading volume. With biased self-attribution, the level of investor overconfidence and thus trading volume varies with past returns. We test the trading volume predictions of formal ov...

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Veröffentlicht in:The Review of financial studies 2006-12, Vol.19 (4), p.1531-1565
Hauptverfasser: Statman, Meir, Thorley, Steven, Vorkink, Keith
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creator Statman, Meir
Thorley, Steven
Vorkink, Keith
description The proposition that investors are overconfident about their valuation and trading skills can explain high observed trading volume. With biased self-attribution, the level of investor overconfidence and thus trading volume varies with past returns. We test the trading volume predictions of formal overconfidence models and find that share turnover is positively related to lagged returns for many months. The relationship holds for both market-wide and individual security turnover, which we interpret as evidence of investor overconfidence and the disposition effect, respectively. Security volume is more responsive to market return shocks than to security return shocks, and both relationships are more pronounced in small-cap stocks and in earlier periods where individual investors hold a greater proportion of shares.
doi_str_mv 10.1093/rfs/hhj032
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source Jstor Complete Legacy; Oxford University Press Journals All Titles (1996-Current); Business Source Complete
subjects Coefficients
Confidence
Data analysis
Econometrics
Economic psychology
Financial research
Financial securities
Hypotheses
Institutional investments
Investment analysis
Investment policy
Investors
Loss
Mathematical models
Overconfidence
P values
Regression analysis
Scholarships & fellowships
Securities markets
Securities returns
Securities trading volume
Self-perception
Small cap investments
Standard deviation
Standard error
Stock exchange
Stock prices
Stocks
Studies
Time series
U.S.A
Variable coefficients
Vector autoregression
Volatility
title Investor Overconfidence and Trading Volume
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