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The Simple Econometrics of Tail Dependence


Maarten R.C. Van Oordt


De Nederlandsche Bank

Chen Zhou


De Nederlandsche Bank; Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE)

May 1, 2011

De Nederlandsche Bank Working Paper No. 296

Abstract:     
The aim of this paper is to show that measures on tail dependence can be estimated in a convenient way by regression analysis. This yields the same estimates as the non-parametric method within the multivariate Extreme Value Theory framework. The advantage of the regression approach is contained by its straightforward extension to the estimation of higher dimensional tail dependence. We provide an example on international stock markets. The regression approach to tail dependence can be applied to estimate several measures of systemic importance of financial institutions in the literature.

Number of Pages in PDF File: 19

Keywords: Tail dependence, Regression analysis, Extreme Value Theory, Systemic risk

JEL Classification: C14, C58

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Date posted: October 31, 2011  

Suggested Citation

Van Oordt, Maarten R.C. and Zhou, Chen, The Simple Econometrics of Tail Dependence (May 1, 2011). De Nederlandsche Bank Working Paper No. 296. Available at SSRN: http://ssrn.com/abstract=1951840 or http://dx.doi.org/10.2139/ssrn.1951840

Contact Information

Maarten R.C. Van Oordt (Contact Author)
De Nederlandsche Bank ( email )
P.O. Box 98
1000 AB Amsterdam
Netherlands

Chen Zhou
De Nederlandsche Bank ( email )
PO Box 98
1000 AB Amsterdam
Amsterdam, 1000 AB
Netherlands

Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) ( email )
P.O. Box 1738
3000 DR Rotterdam, NL 3062 PA
Netherlands
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