volatility. The model predicts that volatility leads high frequency traders to reduce their provision of liquidity. Finally, we …

" states - following market declines and when market volatility is high - and are contemporaneous with market rebounds. We show …

interaction of momentum with market capitalization, firm age, trading volume, and stock return volatility. However, the model …

Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good … forecasts of future volatility are critical for the implementation and evaluation of asset pricing theories. In response to this …, a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility at the daily …

reservations about the impact of foreign speculators on both expectedquot; returns and market volatility. We propose a cross … depositary receipts country funds and other financial instruments, in an extranational market and market volatility in emerging … statistically weak. The effects on volatility and correlation are less robust.quot …

We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study … although the conditional correlation between the mean and volatility is negative, the unconditional correlation is positive due …

-shifts of heterogeneous durations affect the volatility of dividend news. We estimate tightly parameterized specifications with … likelihood than the classic Campbell and Hentschel (1992) specification, while generating volatility feedback effects 6 to 12 … times larger. We show in an extension that Bayesian learning about stochastic volatility is faster for bad states than good …

unconditional moments of asset returns, imply a lower bound on the volatility of the intertemporal marginal rate of substitution. We … short time series of consumption data undermines the ability of tests that use the restrictions implied by the volatility …