A rapidly growing literature has documented important improvements in financial return volatility measurement and … return volatility. In an application to the DM/$ exchange rate, the S&P500 market index, and the 30-year U.S. Treasury bond … non-jump movements in a simple but sophisticated volatility forecasting model, we find that almost all of the …

the relationships in detail. Among other things, we show that: (a) Volatility dependence produces sign dependence, so long … as expected returns are nonzero, so that one should expect sign dependence, given the overwhelming evidence of volatility … of sign dependence and volatility dependence; (c) Sign dependence is not likely to be found via analysis of sign …

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 … variation, we formally develop the links between the conditional covariancematrix and the concept of realized volatility. Next …

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 …

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

autocorrelations close to zero, (ii) these autocorrelation differences between spot and futures markets are maintained even under … conditions favorable for spot-futures arbitrage, and (iii) these autocorrelation differences are most prevalent during low volume …