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 …

We exploit direct model-free measures of daily equity return volatility and correlation obtained from high …, solidify and extend existing characterizations of stock return volatility and correlation. We find that the unconditional … portfolio diversification when the market is most volatile. Our findings are broadly consistent with a latent volatility fact or …

This paper studies three different measures of monthly stock market volatility: the time-series volatility of daily … market returns within the month; the cross-sectional volatility or 'dispersion' of daily returns on industry portfolios …, within the month. Over the period 1962-97 there has been a noticeable increase in firm-level volatility relative to market …

-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 …

) levels of volatility. These results provide a novel perspective on both the equity risk premium and excess volatility puzzles …

introduce a model for asset return dynamics with a drift component, a volatility component and mutually exciting jumps known as …

-varying volatility, skewness and kurtosis in fundamentals while still permitting closed-form solutions for asset prices. The model not …