It appears that volatility in equity markets is asymmetric: returns and conditional volatility are negatively … correlated. We provide a unified framework to simultaneously investigate asymmetric volatility at the firm and the market level … empirical evidence on asymmetry to Japanese stocks. Although volatility asymmetry is present and significant at the market and …

with volatility …

We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the … specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use … data, we find that daily realized power (involving 5-minute absolute returns) is the best predictor of future volatility …

a GARCH process for conditional volatility. Under such heteroskedasticity, OLS estimators or parameters in single …

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 …

Recently there has been a great deal of interest in modeling volatility fluctuations. ARCH models, for example, provide … parsimonious approximations to volatility dynamics. Here we provide a selective amount of certain aspects of conditional volatility …

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

that, after monetary policy announcements, the conditional volatility rises more for firms with stickier prices than for …