C. Acerbi and D. Tasche, On the coherence of expected shortfall, Journal of Banking & Finance, vol.26, issue.7, pp.1487-1503, 2002.
DOI : 10.1016/S0378-4266(02)00283-2

P. Artzner, F. Delbaen, J. Eber, and D. Heath, Coherent measures of risk, Math. Finance, vol.9, pp.3-203, 1999.

O. Barndorff-nielsen and C. Halgreen, Infinite divisibility of the hyperbolic and generalized inverse Gaussian distributions, Zeitschrift f???r Wahrscheinlichkeitstheorie und Verwandte Gebiete, vol.42, issue.4, pp.309-311, 1977.
DOI : 10.1007/BF00533162

T. Bedford and R. M. Cooke, Probability density decomposition for conditionally dependent random variables modeled by vines, Annals of Mathematics and Artificial Intelligence, vol.32, issue.1/4, pp.245-268, 2001.
DOI : 10.1023/A:1016725902970

J. Beran, Statistics for Long-Memory Processes, 1994.

D. Berg and K. Aas, Models for construction of multivariate dependence -a comparison study, The European Journal of Finance, vol.15, pp.639-659, 2009.

J. Berkowitz, A coherent framework for stress testing', Federal Reserve Board, 1999.

T. Bollerslev, Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, vol.31, issue.3, pp.307-327, 1986.
DOI : 10.1016/0304-4076(86)90063-1
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.7380

E. Brechmann, C. Czado, and K. Aas, Truncated regular vines in high dimensions with application to financial data, Canadian Journal of Statistics, vol.57, issue.2, 2010.
DOI : 10.1002/cjs.10141

P. Brockwell and R. Davis, Simple consistent estimation of the coefficients of a linear filter, Stochastic Processes and their Applications, vol.28, issue.1, pp.47-59, 1988.
DOI : 10.1016/0304-4149(88)90063-4

P. Bunn, A. Cunningham, and M. Drehmann, Stress testing as a tool for assessing systemic risks, 1944.

P. Capéraà, A. Fougères, and C. Genest, Bivariate Distributions with Given Extreme Value Attractor, Journal of Multivariate Analysis, vol.72, issue.1, pp.30-49, 2000.
DOI : 10.1006/jmva.1999.1845

A. Caputo, Some properties of the family of koehler-symanowski distributions, The Collaborative Research Center (SBF), LMU-München, 1998.

W. Cleveland, Robust Locally Weighted Regression and Smoothing Scatterplots, Journal of the American Statistical Association, vol.39, issue.368, pp.829-836, 1979.
DOI : 10.1214/aos/1176343886

F. Delbaen, Coherent risk measures, Lecture Notes of the Cattedra Galileiana at the Scuola Normale di Pisa, 2000.
DOI : 10.1007/BF02809088

J. Dissmann, E. Brechmann, C. Czado, and D. Kurowicka, Selecting and estimating regular vine copulae and application to financial returns, 2011.

R. Engle, Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation, Econometrica, vol.50, issue.4, pp.987-1007, 1982.
DOI : 10.2307/1912773

U. Fayyad, G. Piatetsky-shapiro, and P. Smyth, From data mining to knowledge discovery in databases, AI Magazine, vol.17, issue.3, pp.37-54, 1996.

J. Galambos, THE ASYMPTOTIC THEORY OF EXTREME ORDER STATISTICS, Wiley Series in Probability and Mathematical Statistics, 1978.
DOI : 10.1016/B978-0-12-702101-0.50014-7

C. Genest, K. Ghoudi, and L. Rivest, A semiparametric estimation procedure of dependence parameters in multivariate families of distributions, Biometrika, vol.82, issue.3, pp.543-552, 1995.
DOI : 10.1093/biomet/82.3.543

E. Gourier, W. Farkas, and D. Abbate, Operational risk quantification using extreme value theory and copulas: from theory to practice, The Journal of Operational Risk, vol.4, issue.3, 2009.
DOI : 10.21314/JOP.2009.064

J. Gregory, Counterparty Credit Risk and Credit Value Adjustment: A Continuing Challenge for Global Financial Markets, 2012.
DOI : 10.1002/9781118673638

D. Guégan, How can we Define the Concept of Long Memory? An Econometric Survey, Econometric Reviews, vol.42, issue.2, 2005.
DOI : 10.1016/0165-1889(94)90039-6

D. Guégan and B. Hassani, A mathematical resurgence of risk management : an extreme modeling of expert opinions.', To appear in Frontier in Economics and Finance, Documents de travail du Centre d'Economie de la Sorbonne, pp.57-1955, 2011.

D. Guégan and B. Hassani, Operational risk: A basel ii++ step before basel iii, Journal of Risk Management in Financial Institutions, vol.6, issue.1, 2012.

D. Guégan and B. Hassani, Multivariate VaRs for operational risk capital computation: a vine structure approach, International Journal of Risk Assessment and Management, vol.17, issue.2, pp.148-170, 2013.
DOI : 10.1504/IJRAM.2013.057104

D. Guégan and B. Hassani, Using a time series approach to correct serial correlation in operational risk capital calculation, The Journal of Operational Risk, vol.8, issue.3, pp.31-56, 2013.
DOI : 10.21314/JOP.2013.126

D. Guégan and B. K. Hassani, A modified Panjer algorithm for operational risk capital calculations, The Journal of Operational Risk, vol.4, issue.4, pp.53-72, 2009.
DOI : 10.21314/JOP.2009.068

D. Guégan, B. Hassani, and C. Naud, An efficient threshold choice for the computation of operational risk capital, The Journal of Operational Risk, vol.6, issue.4, pp.3-19, 2011.
DOI : 10.21314/JOP.2012.100

D. Guégan and P. Maugis, New prospects on vines, Insurance Markets and Companies: Analyses and Actuarial Computations, pp.15-22, 2010.

D. Guégan and P. Maugis, An Econometric Study of Vine Copulas, SSRN Electronic Journal, vol.2, issue.1, pp.2-14, 2011.
DOI : 10.2139/ssrn.1590296

B. K. Hassani and A. Renaudin, The cascade bayesian approach for a controlled integration of internal data, external data and scenarios, Working Paper, pp.1955-611, 2013.
URL : https://hal.archives-ouvertes.fr/halshs-00795046

M. Huggenberger and T. Klett, A g-and-h Copula Approach to Risk Measurement in Multivariate Financial Models, SSRN Electronic Journal, 2009.
DOI : 10.2139/ssrn.1677431

H. Joe, Multivariate models and dependence concepts, Monographs on Statistics and Applied Probability, 1997.

H. Joe, Multivariate models and dependence concepts, Monographs on Statistics and Applied Probability, p.46, 1997.

H. Joe, Asymptotic efficiency of the two-stage estimation method for copula-based models, Journal of Multivariate Analysis, vol.94, issue.2, pp.401-419, 2005.
DOI : 10.1016/j.jmva.2004.06.003

K. Koehler and J. Symanowski, Constructing Multivariate Distributions with Specific Marginal Distributions, Journal of Multivariate Analysis, vol.55, issue.2, pp.261-282, 1995.
DOI : 10.1006/jmva.1995.1079
URL : http://doi.org/10.1006/jmva.1995.1079

M. Leadbetter, Extremes and local dependence in stationary sequences, Zeitschrift f???r Wahrscheinlichkeitstheorie und Verwandte Gebiete, vol.25, issue.2, pp.291-306, 1983.
DOI : 10.1007/BF00532484

E. N. Lorenz, Deterministic Nonperiodic Flow, Journal of the Atmospheric Sciences, vol.20, issue.2, pp.130-141, 2010.
DOI : 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2

G. Majnoni, M. S. Martinez-peria, W. Blaschke, and M. T. Jones, Stress testing of financial systems: An overview of issues, methodologies and fsap experiences, 2001.

J. Mcculloch, On the Parametrization of the Afocal Stable Distributions, Bulletin of the London Mathematical Society, vol.28, issue.6, pp.651-655, 1996.
DOI : 10.1112/blms/28.6.651

B. Mendes, E. De-melo, and R. Nelsen, Robust Fits for Copula Models, Communications in Statistics - Simulation and Computation, vol.8, issue.5, 2007.
DOI : 10.1214/aoms/1177707038
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.264

R. C. Merton, On the pricing of corporate debt: The risk structure of interest rates, Journal of Finance, vol.29, pp.449-470, 1972.

J. Morgan, Introduction to creditmetrics, 1997.

K. Pearson, On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling, Philosophical Magazine Series, vol.5, issue.302, pp.50-157, 1900.

J. Pesola, Financial Fragility, Macroeconomic Shocks and Banks' Loan Losses: Evidence from Europe, SSRN Electronic Journal, vol.15, 2007.
DOI : 10.2139/ssrn.1018637

R. Rockafellar and S. Uryasev, Optimization of conditional value-at-risk, The Journal of Risk, vol.2, issue.3, pp.21-41, 2000.
DOI : 10.21314/JOR.2000.038

R. Rockafellar and S. Uryasev, Conditional value-at-risk for general loss distributions, Journal of Banking & Finance, vol.26, issue.7, pp.1443-1471, 2002.
DOI : 10.1016/S0378-4266(02)00271-6

J. Rodriguez, Measuring financial contagion: A Copula approach, Journal of Empirical Finance, vol.14, issue.3, pp.401-423, 2007.
DOI : 10.1016/j.jempfin.2006.07.002

S. Said and D. Dickey, Testing for unit roots in autoregressive-moving average models of unknown order, Biometrika, vol.71, issue.3, pp.599-607, 1984.
DOI : 10.1093/biomet/71.3.599

B. W. Silverman, Density Estimation for statistics and data analysis, 1986.
DOI : 10.1007/978-1-4899-3324-9

A. Sklar, Fonctions de répartition à n dimensions et leurs marges, Publ. Inst. Stat, vol.8, pp.229-231, 1959.

N. Taleb, The Black Swan: the impact of highly improbable, 2nd Edition, Random House and Penguin, 2010.

M. Taqqu and G. Samorodnisky, Stable non-Gaussian random processes, 1994.

S. S. Wang, A Class of Distortion Operators for Pricing Financial and Insurance Risks, The Journal of Risk and Insurance, vol.67, issue.1, pp.15-36, 2000.
DOI : 10.2307/253675

G. Weiss, Copula parameter estimation -numerical considerations and implications for risk management, Journal of Risk, vol.13, 2010.