Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53287
Title: Estimating risk of natural gas portfolios by using GARCH-EVT-Copula model
Authors: Jiechen Tang
Chao Zhou
Xinyu Yuan
Songsak Sriboonchitta
Keywords: Biochemistry, Genetics and Molecular Biology
Environmental Science
Medicine
Issue Date: 1-Jan-2014
Abstract: © 2014 Jiechen Tang et al. This paper concentrates on estimating the risk of Title Transfer Facility (TTF) Hub natural gas portfolios by using the GARCHEVT-copula model.We first use the univariate ARMA-GARCH model tomodel each natural gas return series. Second, the extreme value distribution (EVT) is fitted to the tails of the residuals to model marginal residual distributions.Third, multivariate Gaussian copula and Student t-copula are employed to describe the natural gas portfolio risk dependence structure. Finally, we simulate N portfolios and estimate value at risk (VaR) and conditional value at risk (CVaR). Our empirical results show that, for an equally weighted portfolio of five natural gases, the VaR and CVaR values obtained fromthe Student t-copula are larger than those obtained fromthe Gaussian copula.Moreover, when minimizing the portfolio risk, the optimal natural gas portfolio weights are found to be similar across the multivariate Gaussian copula and Student t-copula and different confidence levels.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84927536659&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53287
ISSN: 1537744X
23566140
Appears in Collections:CMUL: Journal Articles

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