Hedging Oil Prices with Renewable Energy Indices A Comparison between Various Multivariate Garch Versions
Asma Abdallah and
Ahmed Ghorbela
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Asma Abdallah: Department of Quantitative Methods, CODESI Laboratory, Tunisia
Ahmed Ghorbela: Department of Quantitative Methods, CODESI Laboratory, Tunisia
Biostatistics and Biometrics Open Access Journal, 2018, vol. 6, issue 3, 74-86
Abstract:
Increasing greenhouse gas emissions, rising and exhaustibility oil prices has accumulated the importance of looking for alternative energy sources. In this work, our objective is to study in a first step the link and interactions between oil market and the renewable energy stock market in terms of volatility, then in a second step to determine the best hedging strategy in the oil market by the renewable energy indices. Our methodology consists to estimate the volatility of the variation of oil prices on the renewable energy indices as well as the coefficient of correlation based on a multivariate GARCH model. Several versions of this model are used to calculate the variances as well as the conditional correlations to calculate the hedging ratio and then determinate the best hedging strategy.
Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:6:y:2018:i:3:p:74-86
DOI: 10.19080/BBOAJ.2018.06.555687
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