It is sometimes argued that an increase in stock market volatility raises required stock returns, and thus lowers stock … for this volatility feedback effect. The resulting model is asymmetric, because volatility feedback amplifies large … for large crashes. The model also implies that volatility feedback is more important when volatility is high. In U …

This paper compares several statistical models for monthly stock return volatility. The focus is on U.S. data from 1834 … volatility that are inconsistent with stationary models for conditional heteroskedasticity, We show the importance of … of stock volatility, even over the 1834-1925 period …

volatility autocorrelation comes from the fundamental that the trading process is pricing or, is caused by the trading process … itself. Returns and volume data argue, in the context of our model, that persistent volatility is caused by traders … autocorrelation in volatility and volume on the time scale of the trading process which generates returns and volume data. Positive …

This paper introduces the News Impact Curve to measure how new information is incorporated into volatility estimates. A … shape of the News Impact Curve. New diagnostic tests are presented which emphasize the asymmetry of the volatility response …

This paper uses a disaggregated approach to study the volatility of common stocks at the market, industry, and firm … levels. Over the period 1962-97 there has been a noticeable increase in firm-level volatility relative to market volatility …, while the number of stocks needed to achieve a given level of diversification has increased. All the volatility measures …

This paper studies three different measures of monthly stock market volatility: the time-series volatility of daily … market returns within the month; the cross-sectional volatility or 'dispersion' of daily returns on industry portfolios …, within the month. Over the period 1962-97 there has been a noticeable increase in firm-level volatility relative to market …