YVES CRAMA, GEORGES HÜBNER AND JEAN-PHILIPPE PETERS 21de Fontnouvelle, P., Rosengren, E. and Jordan, J. (2004) “Implications of Alternative
Operational Risk Modeling Techniques”, Working Paper, Federal Reserve Bank of
Boston.
Frachot, A., Georges, P. and Roncalli, T. (2001) “Loss Distribution Approach for
Operational Risk”, Working Paper, Groupe de Recherche Opérationnelle, Crédit
Lyonnais.
Frachot, A., Moudoulaud, O. and Roncalli, T. (2003) “Loss Distribution Approach in
Practice”, Working Paper, Groupe de Recherche Opérationnelle, Crédit Lyonnais.
Gumbel, E.J. (1958)Statistics of Extremes(New York: Columbia University Press).
Huisman, R., Koedijk, K.G., Kool, C.J. and Palm, F. (2001) “Tail-Index Estimates in Small
Samples”,Journal of Business and Economic Statistics, 19(1): 208–16.
Klugman, S.A., Panjer, H.H. and Willmot, G.E. (1998)Loss Models – From Data to Decisions
(New York: Wiley Series on Probability and Statistics).
Kolmogorov, A.N. (1933) “Sulla Determinazione Empiricadi una Legge di Distribuzione”,
Giornale dell’ Istituto Attuari, 4: 83–91.
Law, A.M. and Kelton, W.D. (2000)Simulation Modeling and Analysis, 3rd edn (New York:
McGraw-Hill).
Longin, F. and Solnik, B. (2001) “Extreme Correlation of International Equity Markets”,
Journal of Finance,56(2): 649–76.
Matthys, G. and Beirlant, J. (2003) “Estimating the Extreme Value Index and High
Quantiles with Exponential Regression Models”,Statistica Sinica,13: 853–80.
Moscadelli, M. (2004) “The Modelling of Operational Risk: Experience with the Analysis
of the Data Collected by the Basel Committee”, Working Paper no. 517, Bank of Italy.
Picklands, J. (1975) “Statistical Inference Using Extreme Order Statistics”,The Annals of
Statistics, 3: 119–31.
Smirnov, N.V. (1939) “Sür Les Écarts de la Courbe de Distribution Empirique”,Matemat-
iceskii Sbornik, 6: 3–26.
Theil, H. (1971)Applied Economic Forecasting(Amsterdam: North-Holland).