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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 …
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This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
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The presence of long memory in Realized Volatility (RV) is a widespread stylized fact. The origins of long memory in RV …
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volatilities, we first discuss the evolution of the volatility of EU ETS allowances' returns from 2008 to 2021. Second, we study … the degree of co-movement and interdependence between the EU ETS returns' volatility and those of 37 large companies in … industries subject to the System; to this end, we employWavelet Coherence and Volatility Spillovers Analyses. Despite spotting …
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