returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For one-day-ahead estimation …The volatility information content of stock options for individual firms is measured using option prices for 149 U ….S. firms and the S&P 100 index. ARCH and regression models are used to compare volatility forecasts defined by historical stock …

returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For one-day-ahead estimation …The volatility information content of stock options for individual firms is measured using option prices for 149 U ….S. firms and the S&P 100 index. ARCH and regression models are used to compare volatility forecasts defined by historical stock …

explain future volatility more accurately than historical volatility by use of regression analysis.  …

prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …

), its volatility as well as the asymmetric effects, for the period of 12th May 2009 to 12th June, 2015. The empirical …-of-theweek effect is influenced by the choice of the volatility model applied. Similarly, the highest or lowest volatility market day …

decompositions of unexpected stock returns. The evidence proves robust and consistently indicates intensified equity market linkage …

prices, returns and volatility of related agricultural commodities. Analyzing the spillover effects on agricultural …. The purpose of this paper is to examine the volatility spillovers for spot and futures returns on bio-ethanol and related … agricultural commodities, specifically corn and sugarcane, using the multivariate diagonal BEKK conditional volatility model. The …