C. Acerbi, Spectral measures of risk: A coherent representation of subjective risk aversion, Journal of Banking & Finance, vol.26, issue.7, pp.1505-1518, 2002.
DOI : 10.1016/S0378-4266(02)00281-9

A. Adam, M. Houkari, and J. Laurent, Spectral risk measures and portfolio selection, Journal of Banking & Finance, vol.32, issue.9, pp.1870-1882, 2007.
DOI : 10.1016/j.jbankfin.2007.12.032

URL : https://hal.archives-ouvertes.fr/hal-00165641

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

A. Bensoussan, D. Guégan, and C. Tapiero, Future Perspectives in Risk Models and Finance, 2015.
DOI : 10.1007/978-3-319-07524-2

URL : https://hal.archives-ouvertes.fr/hal-01310459

L. Cobb, P. Koppstein, and N. Chen, Estimation and momet recursion relations for multimodal distributions of the exponential family, J.A.S.A, vol.78, pp.123-130, 1987.

M. Degen and P. Embrechts, EVT-based estimation of risk capital and convergence of high quantiles, Advances in Applied Probability, vol.2, issue.03, pp.696-715, 2008.
DOI : 10.2143/AST.37.2.2024067

R. Fisher, On the mathematical foundations of theoretical statistics, Philosophical Transactions of the Royal Society of London, pp.309-368, 1922.

B. Gnedenko, Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire, The Annals of Mathematics, vol.44, issue.3, pp.423-453, 1943.
DOI : 10.2307/1968974

D. Guégan, Former les analystes et les opérateurs financiers, 20 propositions pour réformer le capitalisme', Flammarion, 2009.

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, Distortion risk measures or the transformation of unimodal distributions into multimodal functionsFuture Perspectives in Risk Models and Finance, 2015.

D. Guégan and B. Hassani, Stress testing engineering: the real risk measurement?Future Perspectives in Risk Models and Finance, 2015.

D. Guégan and B. Hassani, Regulatory capital? more accurate measurement for enhanced controls', Working Paper, 2016.

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, An Econometric Study of Vine Copulas, SSRN Electronic Journal, vol.2, pp.2-14, 2010.
DOI : 10.2139/ssrn.1590296

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

M. Hardy and J. Wirch, Distortion risk measures: coherence and stochastic dominance, International Congress on Insurance: Mathematics and Economics pp, pp.15-17, 2001.

B. Hassani, Risk appetite in practice: Vulgaris mathematica, The IUP Journal of Financial Risk Management, vol.12, issue.1, pp.7-22, 2015.
URL : https://hal.archives-ouvertes.fr/halshs-01020293

P. Jorion, Value at Risk: The New Benchmark for Managing Financial Risk, 2006.

J. Pickands, Statistical inference using extreme order statistics, annals of Statistics, vol.3, pp.119-131, 1975.

E. Sereda, E. Bronshtein, S. Rachev, F. Fabozzi, W. Sun et al., Distortion risk measures in portfolio optimisationHandbook of Portfolio Construction, pp.649-673, 2010.

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

M. Yaari, The Dual Theory of Choice under Risk, Econometrica, vol.55, issue.1, pp.95-115, 1987.
DOI : 10.2307/1911158