G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Modelling Asymmetric Dependence Using Copula Functions: An application to Value-at-Risk in the Energy Sector
Andrea Bastianin
发表日期2009
出处Energy: Resources and Markets
出版年2009
语种英语
摘要In this paper I have used copula functions to forecast the Value-at-Risk (VaR) of an equally weighted portfolio comprising a small cap stock index and a large cap stock index for the oil and gas industry. The following empirical questions have been analyzed: (i) are there nonnormalities in the marginals? (ii) are there nonnormalities in the dependence structure? (iii) is it worth modelling these nonnormalities in risk- management applications? (iv) do complicated models perform better than simple models? As for questions (i) and (ii) I have shown that the data do deviate from the null of normality at the univariate, as well as at the multivariate level. When considering the dependence structure of the data I have found that asymmetries show up in their unconditional distribution, as well as in their unconditional copula. The VaR forecasting exercise has shown that models based on Normal marginals and/or with symmetric dependence structure fail to deliver accurate VaR forecasts. These findings confirm the importance of nonnormalities and asymmetries both in-sample and out-of-sample.
特色分类C32,C52,C53,G17,Q43
关键词Copula functions,Forecasting,Value-At-Risk
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/modelling-asymmetric-dependence-using-copula-functions-an-application-to-value-at-risk-in-the-energy-sector/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/117702
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GB/T 7714
Andrea Bastianin. Modelling Asymmetric Dependence Using Copula Functions: An application to Value-at-Risk in the Energy Sector. 2009.
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