This study explores the benefits of incorporating fat-tailed innovations, asymmetric volatility response, and an … extended information set into crude oil return modeling and forecasting. To this end, we utilize standard volatility models … Stochastic Volatility (SV), along with Mixed Data Sampling (MIDAS) regressions, which enable us to incorporate the impacts of …

volatility and Student-t disturbances outperforms restricted alternatives that feature either attributes. The VAR model with …

issue by characterizing the conditional and unconditional distributions of the realized volatility for the 2008 futures … volatility measures from naive, kernel-based and subsampling estimators are used to obtain inferences about the distributional … and dynamic properties of the ECX emissions futures volatility. The distribution of the daily realized volatility in …