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 …

It is a common practice in finance to estimate volatility from the sum of frequently-sampled squared returns. However … market microstructure poses challenges to this estimation approach, as evidenced by recent empirical studies in finance. This … an estimation approach that takes advantage of the rich sources in tick-by-tick data while preserving the continuous …

Most affine models of the term structure with stochastic volatility (SV) predict that the variance of the short rate is … stochastic volatility (USV)." 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 …

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 …

conditional on current information, we propose a new approach to quantile estimation which does not require any of the extreme … variety of dynamic processes for updating the quantile and use regression quantile estimation to determine the parameters of …