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 …

structure to commodity futures prices, and develop new algorithms for estimation of such models using unbalanced data sets in …

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 …

tackle several measurement issues assessing a plethora of state-of-the-art volatility forecasting models. We then examine the …

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 …