During the financial crisis, financial firm leverage and volatility both rose dramatically. Consequently, institutions … structure in volatility. To address this question, we build a statistical model of equity volatility that accounts for leverage …. Our approach blends Merton's insights on capital structure with traditional time-series models of volatility. Using our …

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 …

financial investments has been debated in the literature. In this study, we compare the volatility of rates of return of …, it is important to model and quantify it. The conditional volatility models from the GARCH family and tail …

stock return data, which includes both features and allows the co-existence of long memory in volatility and short memory in … returns. We extend this model to allow the financial parameters governing the volatility-in-mean effect and the leverage …

-GARCH(1,1), CAViaR and historical simulation models in periods with contrasting volatility trends (increasing, constantly high … volatility trend. However, GARCH-st (1,1) and QML-GARCH(1,1) were found to be the most robust models in the different volatility … periods. The results show as well that the CAViaR model forecasts were less appropriate in the increasing volatility period …