Extreme Value Theory: Value at Risk and Returns Dependence Around the World
This paper presents two applications of Extreme Value Theory (EVT) to financial markets: computation of value at risk and assets returns dependence under extreme events (i.e. tail dependence). We use a sample comprised of the United States, Europe, Asia, and Latin America. Our main findings are the following. First, on average, EVT gives the most accurate estimates of value at risk. Second, tail dependence decreases when filtering out heteroscedasticity and serial correlation by multivariate GARCH models. Both findings are in agreement with previous research in this area for other financial markets.
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- POON, Ser-Huang & ROCKINGER, Michael & TAWN, Jonathan, 2001.
"New Extreme-Value Dependance Measures and Finance Applications,"
Les Cahiers de Recherche
719, HEC Paris.
- Ser-Huang Poon & Michael Rockinger & J. Tawn, 2001. "New Extreme-Value Dependance Measures and Finance Applications," Working Papers hal-00597018, HAL.
- Poon, Ser-Huang & Rockinger, Michael & Tawn, Jonathan, 2001. "New Extreme-Value Dependence Measures and Finance Applications," CEPR Discussion Papers 2762, C.E.P.R. Discussion Papers.
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- Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
- Engle, Robert F & Gonzalez-Rivera, Gloria, 1991. "Semiparametric ARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 345-59, October.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
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