forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting … ARCH or stochastic volatility models, which often perform poorly at intraday frequencies. Use of realized volatility … and forecasting. Building on the theory of continuous-time arbitrage-free price processes and the theory of quadratic …

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 …

This paper extends the class of stochastic volatility diffusions for asset returns to encompass Poisson jumps of time … as well as stochastic volatility with a pronounced negative relationship between return and volatility innovations. We …

the relation between exchange rate variability and stock return volatility and by decomposing this relation into … rates, we find a significant increase in the volatility of U.S. multinational monthly stock returns corresponding to the … period of increased exchange rate variability. This increase in stock return volatility is also significant relative to the …

constrained counterparts to the VARs. The predictability of returns is related to asset pricing models by examining the volatility …