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 …

, volatility and stock returns. To do this, we use a large sample of individual accounts over a six-year period in the 1990's in …

generates stock volatility that is higher than long-horizon dividend volatility, even with constant market prices of risk …

This paper uses a disaggregated approach to study the volatility of common stocks at the market, industry, and firm … levels. Over the period 1962-97 there has been a noticeable increase in firm-level volatility relative to market volatility …, while the number of stocks needed to achieve a given level of diversification has increased. All the volatility measures …