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Testing for differences in the tails of stock-market returns

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Author Info
ROCKINGER, Michael
JONDEAU, Eric (ERUDITE, Paris XII Val de Marne)

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Abstract

In this paper, we use a database consisting of daily stock-returns for 20 countries to test for similarities between the left and right tail of returns as well as for cross-sectional differences. To mitigate the issue of dependency between stock returns, we estimate the distribution of extremes over subsamples of two months. We document a good fit of the model and show that the left and right tails of returns behave very similarly. Across countries, we find that extremes are located at different levels and that their dispersion varies. On the other hand, the tail index, characterizing large extreme realizations is found to be constant worldwide. Our results are not due to a lack of power. We also discuss the results from an economic point of view.

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Publisher Info
Paper provided by HEC Paris in its series Les Cahiers de Recherche with number 739.

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Length: 28 pages
Date of creation: 01 Oct 2001
Date of revision:
Handle: RePEc:ebg:heccah:0739

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Postal: HEC Paris, 78351 Jouy-en-Josas cedex, France
Web page: http://www.hec.fr/
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Related research
Keywords: extreme value theory; generalized extreme value distribution; emerging markets;

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Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
O16 - Economic Development, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment

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  1. Brian M Lucey and Alexander Eastman, 2008. "Comparing Garman-Klass and DU Volatility and Symmetry Measures in Intraday Futures Returns and Volumes: A Vector Autoregression Analysis," The Institute for International Integration Studies Discussion Paper Series iiisdp260, IIIS. [Downloadable!]
  2. C.G. de vries, 2004. "The simple economics of bank fragility," WO Research Memoranda (discontinued) 755, Netherlands Central Bank, Research Department. [Downloadable!]
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  3. Daniella Acker & Nigel W. Duck, 2004. "Estimating Betas and Stock-Return Correlations From Monthly Data: A Warning Note," Bristol Economics Discussion Papers 04/557, Department of Economics, University of Bristol, UK. [Downloadable!]
  4. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February. [Downloadable!] (restricted)
  5. Dominic Gasbarro & Wing-Keung Wong & J. Kenton Zumwalt, 2007. "Stochastic Dominance Analysis of iShares," European Journal of Finance, Taylor and Francis Journals, vol. 13(1), pages 89-101, January. [Downloadable!] (restricted)
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  6. J.L. Geluk & C.G. de Vries, 2004. "Weighted Sums of Subexponential Random Variables and Asymptotic Dependence between Returns on Reinsurance Equities," Tinbergen Institute Discussion Papers 04-102/2, Tinbergen Institute. [Downloadable!]
  7. Y. Malevergne & V. F. Pisarenko & D. Sornette, 2003. "Empirical Distributions of Log-Returns: between the Stretched Exponential and the Power Law?," Quantitative Finance Papers physics/0305089, arXiv.org. [Downloadable!]
  8. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society. [Downloadable!]
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