Optimal dynamic hedging strategy with futures oil markets via FIEGARCH-EVT copula models
by Ahmed Ghorbel; Abdelwahed Trabelsi
International Journal of Managerial and Financial Accounting (IJMFA), Vol. 4, No. 1, 2012

Abstract: The goal of this paper is to evaluate the hedging strategies performance of a range of copula and traditional methods for three spot and futures oil markets: WTI crude oil, propane and heating oil. Our contribution is two-fold. First, we model dependence structure between spot and futures oil markets using copula theory applied to bivariate standardised residuals data obtained from two fitted univariate FIEGARCH models. To take in consideration the presence of extremes, we model residuals by a generalised Pareto distribution (GPD). This procedure permits to simultaneously capturing asymmetric non-linear behaviour, dependence structure, long memory and occurrence of extreme events. Second, we use this method with different Archimedean copulas functions (Joe, Frank, bb1, bb2, bb6, and Gumbel) to investigate hedging performance and the efficiency of copula methods in risk reduction and return improvement. Empirical results show that copulas methods perform better than tradition hedging strategies in terms of return and variance. bb6 copula provide the best performed hedge ratios for both WTI crude oil and propane markets while Frank copula prove effective risk reducers compared with other copulas and traditional methods for heating oil market.

Online publication date: Sat, 16-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Managerial and Financial Accounting (IJMFA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com