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 …

-of-sample volatility of optimized portfolios from each model. A few factors capture the general covariance structure but adding more … yield similar results. Using a tracking error volatility criterion, larger differences appear, with particularly favorable …

although the conditional correlation between the mean and volatility is negative, the unconditional correlation is positive due …We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study … and without relying on exogenous predictors. We find a strong and robust negative correlation between the innovations to …

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 …

serial correlation in the univariate exchange rate processes. We apply the technique to a panel of bilateral U.S. dollar …

This paper evaluates the forecasting accuracy of correlation derived from implied volatilities in dollar-mark, dollar …-yen, and mark-yen options from January 1989 to May 1995. As a forecast of realized correlation between the dollar-mark and … dollar-yen, implied correlation is compared against three alternative forecasts based on time series data: historical …