B. Abdous and B. Remillard, Relating quantiles and expectiles under weightedsymmetry, Annals of the Institute of Statistical Mathematics, vol.47, pp.371-384, 1995.

C. Acerbi, Spectral measures of risk: A coherent representation of subjective risk aversion, Journal of Banking & Finance, vol.26, pp.1505-1518, 2002.

V. V. Acharya, L. H. Pedersen, T. Philippon, and M. Richardson, Measuring systemic risk, Discussion Paper DP8824, 2012.

J. Alm, Signs of dependence and heavy tails in non-life insurance data, Scandinavian Actuarial Journal, 2015.

P. Artzner, F. Delbaen, J. Eber, and D. Heath, Coherent Measures of Risk, Mathematical Finance, vol.9, pp.203-228, 1999.

B. Committee, Basel III: a global regulatory framework for more resilient banks and banking systems, 2011.

G. W. Bassett, J. R. Koenker, and G. Kordas, Pessimistic Portfolio Allocation and Choquet Expected Utility, Journal of Financial Econometrics, vol.4, pp.477-492, 2004.

J. Beirlant, Y. Goegebeur, J. Segers, and J. Teugels, Statistics of extremes: Theory and applications, 2004.

F. Bellini, Isotonicity results for generalized quantiles, Statistics and Probability Letters, vol.82, pp.2017-2024, 2012.

F. Bellini, B. Klar, A. Müller, and E. R. Gianina, Generalized quantiles as risk measures, vol.54, pp.41-48, 2014.

F. Bellini and E. Di-bernardino, Risk Management with Expectiles, The European, Journal of Finance, 2015.

N. H. Bingham, C. M. Goldie, and J. L. Teugels, Regular Variation, 1987.

J. Breckling and R. Chambers, Biometrika, vol.75, pp.761-772, 1988.

C. T. Brownlees and R. Engle, SRISK: A Conditional Capital Shortfall Measure of Systemic Risk, The Review of Financial Studies, forthcoming, 2016.

F. Caeiro, M. I. Gomes, and D. Pestana, Direct reduction of bias of the classical Hill estimator, REVSTAT: Statistical Journal, vol.3, pp.113-136, 2005.

J. Cai, J. Einmahl, L. De-haan, and C. Zhou, Estimation of the marginal expected shortfall: the mean when a related variable is extreme, Journal of the Royal Statistical Society: Series B, vol.77, pp.417-442, 2015.

V. Chavez-demoulin, P. Embrechts, and S. Sardy, Extreme-quantile tracking for financial time series, Journal of Econometrics, vol.181, pp.44-52, 2014.

L. De-haan and A. Ferreira, Extreme Value Theory: An Introduction, 2006.

G. De-rossi and H. Harvey, Quantiles, expectiles and splines, Journal of Econometrics, vol.152, pp.179-185, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00553823

C. De-valk, Approximation and estimation of very small probabilities of multivariate extreme events, Extremes, 2015.

F. X. Diebold, T. Schuermann, and J. D. Stroughair, Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management, Journal of Risk Finance, vol.1, pp.30-36, 2000.

H. Drees, Weighted approximations of tail processes for ?-mixing random variables, Ann. Appl. Probab, vol.10, pp.1274-1301, 2000.

H. Drees and X. Huang, Best attainable rates of convergence for estimators of the stable tail dependence function, Journal of Multivariate Analysis, vol.64, pp.25-47, 1998.

B. Efron, Regression percentiles using asymmetric squared error loss, Statistica Sinica, vol.1, pp.93-125, 1991.

W. Ehm, T. Gneiting, A. Jordan, and F. Krüger, Of Quantiles and Expectiles: Consistent Scoring Functions, Choquet Representations, and Forecast Rankings, Journal of the Royal Statistical Society: Series B, vol.78, pp.505-562, 2016.

J. El-methni, L. Gardes, and S. Girard, Nonparametric estimation of extreme risks from conditional heavy-tailed distributions, Scandinavian Journal of Statistics, vol.41, issue.4, pp.988-1012, 2014.

J. El-methni and G. Stupfler, Extreme versions of Wang risk measures and their estimation for heavy-tailed distributions, Statistica Sinica, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01313675

P. Embrechts and M. Hofert, Statistics and Quantitative Risk Management for Banking and Insurance, Annual Review of Statistics and Its Application, vol.1, pp.493-514, 2014.

P. Embrechts, C. Klüppelberg, and T. Mikosch, Modelling Extremal Events for Insurance and Finance, 1997.

P. Embrechts and G. Puccetti, Aggregating risk across matrix structured loss data: the case of operational risk, Journal of Operational Risk, vol.3, pp.29-44, 2007.

R. F. Engle, E. Jondeau, and M. Rockinger, Systemic Risk in Europe, Review of Finance, vol.19, pp.145-190, 2015.

J. Fan and I. Gijbels, Local Polynomial Modelling and Its Applications. Monographs on Statistics and Applied Probability, vol.66, 1996.

T. Fissler and J. F. Ziegel, Higher order elicitability and Osband's principle, Annals of Statistics, vol.4, pp.1680-1707, 2016.

C. J. Geyer, On the asymptotics of convex stochastic optimization, 1996.

M. Gilli and E. Këllezi, An Application of Extreme Value Theory for Measuring Financial Risk, Computational Economics, vol.27, pp.207-228, 2006.

T. Gneiting, Making and evaluating point forecasts, Journal of the American Statistical Association, vol.106, pp.746-762, 2011.

M. I. Gomes and A. Guillou, Extreme value theory and statistics of univariate extremes: a review, International Statistical Review, vol.83, pp.263-292, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01311707

J. Gong, Y. Li, L. Peng, and Q. Yao, Estimation of extreme quantiles for functions of dependent random variables, Journal of the Royal Statistical Society: Series B, vol.77, pp.1001-1024, 2015.

P. Hartmann, S. Straetmans, and C. De-vries, Asset market linkages in crisis periods, Review of Economics and Statistics, vol.86, pp.313-326, 2004.

P. Hartmann, S. Straetmans, and C. De-vries, Banking system stability. A crossatlantic perspective, The Risks of Financial Institutions, NBER Chapters, pp.133-192, 2005.

P. Hartmann, S. Straetmans, and C. De-vries, Heavy tails and currency crises, Journal of Empirical Finance, vol.17, pp.241-254, 2010.

B. M. Hill, A simple general approach to inference about the tail of a distribution, Annals of Statistics, vol.3, pp.1163-1174, 1975.

H. Holzmann and B. Klar, Expectile asymptotics, Electronic Journal of Statistics, vol.10, pp.2355-2371, 2016.

L. Hua and H. Joe, Second order regular variation and conditional tail expectation of multiple risks, Insurance: Mathematics and Economics, vol.49, pp.537-546, 2011.

R. Ibragimov, D. Jaffee, and J. Walden, Nondiversification traps in catastrophe insurance markets, Review of Financial Studies, vol.22, pp.959-993, 2009.

M. C. Jones, Expectiles and M-quantiles are quantiles, Statistics & Probability Letters, vol.20, pp.149-153, 1994.

K. Knight, Epi-convergence in distribution and stochastic equi-semicontinuity, technical report, 1999.

R. Koenker, When Are Expectiles Percentiles? Econometric Theory, vol.9, pp.526-527, 1993.

R. Koenker and G. S. Bassett, Regression Quantiles, vol.46, pp.33-50, 1978.

V. Krätschmer and H. Zähle, Statistical inference for expectile-based risk measures, 2016.

C. Kuan, J. Yeh, and Y. Hsu, Assessing value at risk with CARE, the Conditional Autoregressive Expectile models, Journal of Econometrics, vol.2, pp.261-270, 2009.

T. Mao, K. Ng, and T. Hu, Asymptotic Expansions of Generalized Quantiles and Expectiles for Extreme Risks, Probability in the Engineering and Informational Sciences, vol.29, pp.309-327, 2015.

T. Mao and F. Yang, Risk concentration based on Expectiles for extreme risks under FGM copula, vol.64, pp.429-439, 2015.

A. J. Mcneil and R. Frey, Estimation of Tail-Related Risk Measures for Heteroscedastic Financial Time Series: An Extreme Value Approach, Journal of Empirical Finance, vol.7, pp.271-300, 2000.

A. J. Mcneil, R. Frey, and P. Embrechts, Quantitative Risk Management, 2005.

W. K. Newey and J. L. Powell, Asymmetric least squares estimation and testing, Econometrica, vol.55, pp.819-847, 1987.

S. Resnick, Heavy-Tail Phenomena: Probabilistic and Statistical Modeling, 2007.

R. T. Rockafellar and S. Uryasev, Conditional Value-at-Risk for General Loss Distributions, Journal of Banking and Finance, vol.26, pp.1443-1471, 2002.

L. Schulze-waltrup, F. Sobotka, T. Kneib, and G. Kauermann, Expectile and Quantile Regression -David and Goliath? Statistical Modelling, vol.15, pp.433-456, 2015.

F. Sobotka and T. Kneib, Geoadditive expectile regression, Computational Statistics and Data Analysis, vol.56, pp.755-767, 2012.

H. M. Steenbergen, B. L. Lassing, A. C. Vrouwenvelder, and P. H. Waarts, Reliability analysis of flood defence systems, Heron, vol.49, pp.51-73, 2004.

J. Taylor, Estimating value at risk and expected shortfall using expectiles, Journal of Financial Econometrics, vol.6, pp.231-252, 2008.

I. Weissman, Estimation of parameters and large quantiles based on the k largest observations, Journal of the American Statistical Association, vol.73, pp.812-815, 1978.

Q. Yao and H. Tong, Asymmetric least squares regression and estimation: A nonparametric approach, Journal of Nonparametric Statistics, vol.6, pp.273-292, 1996.

J. F. Ziegel, Coherence and elicitability, Mathematical Finance, vol.26, pp.901-918, 2016.

H. Zou, Generalizing Koenker's distribution, Journal of Statistical Planning and Inference, vol.148, pp.123-127, 2014.