New Extreme-Value Dependance Measures and Finance Applications
In the finance literature, cross-sectional dependence in extreme returns of risky assets is often modeled implicitly assuming an asymptotically dependent structure. If the true dependence structure is asymptotically independent then existing finance models will lead to over-estimation of the risk of simultaneous extreme events. We provide simple techniques for deciding between these dependence classes and for quantifying the degree of dependence in each class. Examples based on daily stock market returns show that there is strong evidence in favor of asymptotically independent models for dependence in extremal stock market returns, and that most of the extremal dependence is due to heteroskedasticity in stock returns processes.
|Date of creation:||06 Feb 2001|
|Contact details of provider:|| Postal: HEC Paris, 78351 Jouy-en-Josas cedex, France|
Web page: http://www.hec.fr/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- de Vries, Casper G & Hartmann, Philipp & Straetmans, Stefan, 2001.
"Asset Market Linkages in Crisis Periods,"
CEPR Discussion Papers
2916, C.E.P.R. Discussion Papers.
- P. Hartmann & S. Straetmans & C.G. de Vries, 2001. "Asset Market Linkages in Crisis Periods," Tinbergen Institute Discussion Papers 01-071/2, Tinbergen Institute.
- Hartmann, Philipp & Straetmans, Stefan & de Vries, Casper, 2001. "Asset market linkages in crisis periods," Working Paper Series 0071, European Central Bank.
- Philipp Hartman & Stefan Straetmans & Casper De Vries, 2001. "Asset market linkages in crisis periods," Proceedings 727, Federal Reserve Bank of Chicago.
- Hartmann, P. & Straetmans, S. & De Vries, C.G., 2001. "Asset Market Linkages in Crisis Periods," Papers 71, Quebec a Montreal - Recherche en gestion.
- Jansen, Dennis W & de Vries, Casper G, 1991.
"On the Frequency of Large Stock Returns: Putting Booms and Busts into Perspective,"
The Review of Economics and Statistics,
MIT Press, vol. 73(1), pages 18-24, February.
- Dennis W. Jansen & Casper de Vries, 1988. "On the frequency of large stock returns: putting booms and busts into perspective," Working Papers 1989-006, Federal Reserve Bank of St. Louis.
- Michael Rockinger & Eric Jondeau, 2000.
- Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998.
"Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management,"
Center for Financial Institutions Working Papers
98-10, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998. "Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-081, New York University, Leonard N. Stern School of Business-.
- Rockinger, M. & Jondeau, E., 2001.
"Entropy Densities: with an Application to Autoregressive Conditional Skewness and Kurtosis,"
79, Banque de France.
- Rockinger, Michael & Jondeau, Eric, 2002. "Entropy densities with an application to autoregressive conditional skewness and kurtosis," Journal of Econometrics, Elsevier, vol. 106(1), pages 119-142, January.
- Longin, Francois M, 1996. "The Asymptotic Distribution of Extreme Stock Market Returns," The Journal of Business, University of Chicago Press, vol. 69(3), pages 383-408, July.
- Longin, Francois M., 2000. "From value at risk to stress testing: The extreme value approach," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1097-1130, July.
- Richardson, Matthew & Smith, Tom, 1993. "A Test for Multivariate Normality in Stock Returns," The Journal of Business, University of Chicago Press, vol. 66(2), pages 295-321, April.
- Martens, Martin & Poon, Ser-Huang, 2001. "Returns synchronization and daily correlation dynamics between international stock markets," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1805-1827, October.
- P. Bortot & S. Coles & J. Tawn, 2000. "The multivariate Gaussian tail model: an application to oceanographic data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(1), pages 31-049.
- Terry A. Marsh & Niklas Wagner, 2004. "Return-Volume Dependence and Extremes in International Equity Markets," Finance 0401007, EconWPA.
- Starica, Catalin, 1999. "Multivariate extremes for models with constant conditional correlations," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 515-553, December.
- Harvey, Campbell R. & Siddique, Akhtar, 1999. "Autoregressive Conditional Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(04), pages 465-487, December.
- Longin, François & Solnik, Bruno H, 2000. "Extreme Correlation of International Equity Markets," CEPR Discussion Papers 2538, C.E.P.R. Discussion Papers.
- LONGIN, François & SOLNIK, Bruno, 2000. "Extreme correlation of international equity markets," Les Cahiers de Recherche 705, HEC Paris.
When requesting a correction, please mention this item's handle: RePEc:ebg:heccah:0719. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sandra Dupouy)
If references are entirely missing, you can add them using this form.