Trading Volume and Serial Correlation in Stock Returns
Sanford Grossman and
John Campbell ()
Scholarly Articles from Harvard University Department of Economics
This paper investigates the relationship between aggregate stock market trading volume and the serial correlation of daily stock returns. For both stock indexes and individual large stocks, the first-order daily return autocorrelation tends to decline with volume. The paper explains this phenomenon using a model in which risk-averse "market makers" accommodate buying or selling pressure from "liquidity" or "noninformational" traders. Changing expected stock returns reward market makers for playing this role. The model implies that a stock price decline on a high-volume day is more likely than a stock price decline on a low-volume day to be associated with an increase in the expected stock return.
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Published in Quarterly Journal of Economics
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Journal Article: Trading Volume and Serial Correlation in Stock Returns (1993)
Working Paper: Trading Volume and Serial Correlation in Stock Returns (1992)
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Persistent link: https://EconPapers.repec.org/RePEc:hrv:faseco:3128710
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