[Beirlant, J., Goegebeur, Y., Segers, J. & Teugels, J. (2004). Statistics of Extremes. Theory and Applications. Chichester: Wiley.10.1002/0470012382]Search in Google Scholar
[Coles, S.G. (2001). An Introduction to Statistical Modeling of Extreme Values. London: Springer.10.1007/978-1-4471-3675-0]Search in Google Scholar
[Cotter, J. (2006). Extreme value estimation of boom and crash statistics. The European Journal of Finance, 12 (6-7), 553-566.10.1080/13518470500460111]Search in Google Scholar
[Danielsson, J. (2011). Financial risk forecasting: the theory and practice of forecasting market risk with implementation in R and Matlab. Chichester: Wiley.]Search in Google Scholar
[Embrechts, P., Klüppelberg, C. & Mikosch, T. (1999). Modelling Extremal Events for Insurance and Finance. New York: Springer.]Search in Google Scholar
[Embrechts, P., Sidney, I., Resnick, S.I. & Samorodnitsky, G. (1999). Extreme Value Theory as a Risk Management Tool. North American Actuarial Journal, 3 (2), 30-41.10.1080/10920277.1999.10595797]Search in Google Scholar
[Fama, E. (1965). The Behavior of Stock Market Prices. Journal of Business, 38, 34-105.10.1086/294743]Search in Google Scholar
[Francq, C. & Zakoïan, J.M. (2013). Estimating the Marginal Law of a Time Series with Applications to Heavy Tailed Distributions. Journal of Business & Economic Statistics, 31, 412-425.10.1080/07350015.2013.801776]Search in Google Scholar
[Hall, P. (1990). Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems. Journal of Multivariate Analysis, 32, 177-203.10.1016/0047-259X(90)90080-2]Search in Google Scholar
[Hill, B.M. (1975). A simple general approach to inference about the tail of a distribution. Annals of Statistics, 3, 1163-1173.10.1214/aos/1176343247]Search in Google Scholar
[Huisman, R., Koedijk, K.G., Kool, C.J.M. & Palm, F. (2001). Tail-index estimates in small samples. Journal of Business and Economic Statistics, 19, 208-216.10.1198/073500101316970421]Search in Google Scholar
[Jondeau, E. & Rockinger, M. (2003). Testing for differences in the tails of stock-market returns. Journal of Empirical Finance, 10, 559-581.10.1016/S0927-5398(03)00005-7]Search in Google Scholar
[Jansen, D. & de Vries, C. (1991). On the frequency of large stock market returns: putting booms and busts into perspective. Review of Economics and Statistics, 23, 18-24.10.2307/2109682]Search in Google Scholar
[Laedbetter, M.R., Lindgren, G. & Rootzen, H. (1983). Extremes and Related Properties of Random Sequences and Processes. New York: Springer Verlag.10.1007/978-1-4612-5449-2]Search in Google Scholar
[LeBaron, B. & Ritirupa, S. (2005). Extreme value theory and fat tails in equity markets. Computing in Economics and Finance, 140, Society for Computational Economics.10.2139/ssrn.873656]Search in Google Scholar
[LeBaron, B. (2008). Robust properties of stock returns tails. International Business School, Brandeis University.]Search in Google Scholar
[Longin, F.M. (1996). The asymptotic distribution of extreme stock market returns. Journal of Business, 69, 383-408.10.1086/209695]Search in Google Scholar
[Longin, F. (2001). Stock market crashes: Some quantitative results based on extreme value theory. Derivatives Use, Trading and Regulation, 7, 197-205.]Search in Google Scholar
[Loretan, M. & Phillips, P.C.B. (1994). Testing the covariance stationarity of heavy-tailed time series. Journal of Empirical Finance, 1, 211-248.10.1016/0927-5398(94)90004-3]Search in Google Scholar
[Mandelbrot, B. (1963). The Variation of Certain Speculative Prices. Journal of Business, 36, 394-419. 10.1086/294632]Search in Google Scholar