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Forecasting Crashes: Trading Volume, Past Returns and Conditional Skewness in Stock Prices Author info | Abstract | Publisher info | Download info | Related research | Statistics Joseph Chen
Harrison Hong
Jeremy C. Stein
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This paper is an investigation into the determinants of asymmetries in stock returns. We develop a series of cross-sectional regression specifications which attempt to forecast skewness in the daily returns of individual stocks. Negative skewness is most pronounced in stocks that have experienced: 1) an increase in trading volume relative to trend over the prior six months; and 2) positive returns over the prior thirty-six months. The first finding is consistent with the model of Hong and Stein (1999), which predicts that negative asymmetries are more likely to occur when there are large differences of opinion among investors. The latter finding fits with a number of theories, most notably Blanchard and Watson's (1982) rendition of stock-price bubbles. Analogous results also obtain when we attempt to forecast the skewness of the aggregate stock market, though our statistical power in this case is limited.
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Date of creation: May 2000Date of revision:
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Article Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001.
"Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices ,"
Journal of Financial Economics ,
Elsevier, vol. 61(3), pages 345-381, September.
[Downloadable!] (restricted) Find related papers by JEL classification: G12 - Financial Economics - - General Financial Markets - - - Asset Pricing G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
This paper has been announced in the following NEP Reports :
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