Hedging the Black Swan:conditional heteroscedasticity and tail dependence in S&P500 and VIX

Abbas, Sawsan and Poon, Ser-Huang and Tawn, Jonathan Angus (2011) Hedging the Black Swan:conditional heteroscedasticity and tail dependence in S&P500 and VIX. Journal of Banking and Finance, 35 (9). pp. 2374-2387. ISSN 0378-4266

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Abstract

The recent financial crisis has accentuated the fact that extreme outcomes have been overlooked and not dealt with adequately. While extreme value theories have existed for a long time, the multivariate variant is difficult to handle in the financial markets due to the prevalent heteroskedasticity embedded in most financial time series, and the complex extremal dependence that cannot be conveniently captured by a single structure. Moreover, most of the existing approaches are based on a limiting argument in which all variables become large at the same rate. In this paper, we show how the conditional approach of Heffernan and Tawn (2004) can be implemented to model extremal dependence between financial time series. We use a hedging example based on VIX futures to demonstrate the flexibility and superiority of the conditional approach against the conventional OLS regression approach.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Banking and Finance
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2000/2002
Subjects:
ID Code:
76768
Deposited By:
Deposited On:
23 Nov 2015 13:50
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Dec 2020 03:03