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 …

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 …

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 …

Most affine models of the term structure with stochastic volatility (SV) predict that the variance of the short rate is …;unspanned stochastic volatility (USV).quot; Of the models tested, only the A1(4) USV model is found to generate both realistic volatility … estimates and a good cross-sectional fit. Our findings suggests that interest rate volatility cannot be extracted from the cross …

and Titman (1993). We test one such theory--based on the gradual-information-diffusion model of Hong and Stein (1997)--and …

We study the impact of model disagreement on the dynamics of asset prices, return volatility, and trade in the market … disagree about the length of the business cycle. We show that model disagreement amplifies return volatility and trading volume …, we find that while the absolute level of return volatility is driven by long-run risk, the variation and persistence of …

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

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 …