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Conditional correlations and volatility spillovers between crude oil and stock index returns

Roengchai Tansuchat; Chang, Chia-Lin; McAleer, Michael - 2010

Persistent link: https://www.econbiz.de/10008669344

Crude oil hedging strategies using dynamic multivariate GARCH

Roengchai Tansuchat; Chang, Chia-Lin; McAleer, Michael - 2010

Persistent link: https://www.econbiz.de/10008669351

Evaluating density forecasts with an application to stock market returns

Raaij, Gabriela de; Raunig, Burkhard - 2002

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Returns in commodities futures markets and financial speculation : a multivariate GARCH approach

Manera, Matteo; Nicolini, Marcella; Vignati, Ilaria - 2012

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...

Persistent link: https://www.econbiz.de/10009535531

Bayesian predictive distributions of oil returns using mixed data sampling volatility models

Virbickaite, Audrone; Nguyen, Hoang; Minh-Ngoc Tran - 2023

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 …

Persistent link: https://www.econbiz.de/10014252427