findings have implications for market-wide volatility - the model-implied correlations alone can explain 44% of the cross …-section of aggregate volatility. The results are robust to controlling for a number of alternative factors put forth by the …

has focused on average returns, we analyze the volatility of the returns in emerging equity markets. We characterize the … time-series of volatility in emerging markets and explore the distributional foundations of the variance process. Of … particular interest is evidence of asymmetries in volatility and the evolution of the variance process after periods of capital …

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 …

introduce a model for asset return dynamics with a drift component, a volatility component and mutually exciting jumps known as … develop and implement an estimation procedure for this model. Our estimates provide evidence for self-excitation both in the …

Stocks with recent past high idiosyncratic volatility have low future average returns around the world. Across 23 … developed markets, the difference in average returns between the extreme quintile portfolios sorted on idiosyncratic volatility … higher moments. There is strong comovement in the low returns to high idiosyncratic volatility stocks across countries …