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 …

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 …

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 …

-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 …

high volatility are followed by periods of low volatility. For instance, the turbulent 1970s were followed by the much more … tranquil times of the great moderation from 1984 to 2007. Modeling these movements in volatility is important to understand the … different mechanisms proposed in the literature to generate changes in volatility similar to the ones observed in the data …

variation measure, the new estimators allow for the development of an asymptotic limit theory in the presence of jumps. Finally … alleviating finite sample biases arising from the pronounced intraday volatility pattern which afflict alternative jump …

This paper shows that the asymptotic normal approximation is often insufficiently accurate for volatility estimators …

inflation process is well described by an unobserved component trend-cycle model with stochastic volatility or, equivalently, an …