Quantitative models for operational risk: Extremes, dependence and aggregation
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[1] P. Embrechts,et al. High Risk Scenarios and Extremes , 2007 .
[2] Christine M. Anderson-Cook,et al. Book review: quantitative risk management: concepts, techniques and tools, revised edition, by A.F. McNeil, R. Frey and P. Embrechts. Princeton University Press, 2015, ISBN 978-0-691-16627-8, xix + 700 pp. , 2017, Extremes.
[3] Paul Embrechts,et al. Aggregating risk capital, with an application to operational risk , 2006 .
[4] P. Tankov,et al. Characterization of dependence of multidimensional Lévy processes using Lévy copulas , 2006 .
[5] Paul Embrechts,et al. Bounds for Functions of Dependent Risks , 2006, Finance Stochastics.
[6] Nicole Bäuerle,et al. Multivariate Counting Processes: Copulas and Beyond , 2005, ASTIN Bulletin.
[7] Paul Embrechts,et al. Worst VaR scenarios , 2005 .
[8] Michel Denuit,et al. Constraints on concordance measures in bivariate discrete data , 2005 .
[9] A. Davison,et al. Generalized additive modelling of sample extremes , 2005 .
[11] Thierry Roncalli,et al. The Correlation Problem in Operational Risk , 2007 .
[12] Dietmar Pfeifer,et al. Modeling and Generating Dependent Risk Processes for IRM and DFA , 2004, ASTIN Bulletin.
[13] J. Teugels,et al. Statistics of Extremes , 2004 .
[14] Marco Moscadelli,et al. The Modelling of Operational Risk: Experience with the Analysis of the Data Collected by the Basel Committee , 2004 .
[15] Marcelo Cruz,et al. Operational Risk Modelling and Analysis: Theory and Practice , 2004 .
[16] Paul Embrechts,et al. Smooth Extremal Models in Finance and Insurance , 2004 .
[17] T. Bielecki,et al. Credit Risk: Modeling, Valuation And Hedging , 2004 .
[18] Carlos Bernadell,et al. Risk management for central bank foreign reserves , 2004 .
[19] E. Luciano,et al. Copula methods in finance , 2004 .
[20] Richard L. Hudson,et al. THE (MIS)BEHAVIOR OF MARKETS , 2004 .
[21] O. Barndorff-Nielsen,et al. Some aspects of Levy copulas , 2004 .
[22] R. Cont,et al. Financial Modelling with Jump Processes , 2003 .
[23] A. McNeil,et al. Common Poisson Shock Models: Applications to Insurance and Credit Risk Modelling , 2003, ASTIN Bulletin.
[24] Mario R. Melchiori. Which Archimedean Copula is the Right One? , 2003 .
[25] R. Smith. Statistics of Extremes, with Applications in Environment, Insurance, and Finance , 2003 .
[26] Thorsten Rheinländer. Risk Management: Value at Risk and Beyond , 2003 .
[27] Eric S. Rosengren,et al. Using Loss Data to Quantify Operational Risk , 2003 .
[28] Paul Embrechts,et al. Using copulae to bound the Value-at-Risk for functions of dependent risks , 2003, Finance Stochastics.
[29] D. Vere-Jones,et al. Elementary theory and methods , 2003 .
[30] COPULA : A NEW VISION FOR ECONOMIC CAPITAL AND APPLICATION TO A FOUR LINE OF BUSINESS COMPANY ASTIN Topic 3 : Risk control , 2003 .
[31] Paul Embrechts,et al. QUANTIFYING REGULATORY CAPITAL FOR OPERATIONAL RISK , 2003 .
[32] Gennady Samorodnitsky,et al. Ruin theory revisited: stochastic models for operational risk , 2002 .
[33] Eric P. Smith,et al. An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.
[34] Paolo Vanini,et al. Operational Risk: A Practitioner's View , 2002 .
[35] K. Campbell. Statistical Analysis of Extreme Values , 2002, Technometrics.
[36] J. Corcoran. Modelling Extremal Events for Insurance and Finance , 2002 .
[37] Marcelo Cruz. Modeling, Measuring and Hedging Operational Risk , 2002 .
[38] P. Embrechts,et al. Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls , 2002 .
[39] Diane Reynolds,et al. Dependent Events and Operational Risk , 2002 .
[40] Alexander J. McNeil,et al. Modelling Operational Risk , 2001 .
[41] J. L. King,et al. Operational Risk: Measurement and Modelling , 2001 .
[42] Søren Asmussen,et al. Ruin probabilities , 2001, Advanced series on statistical science and applied probability.
[43] B. Mirzai. Operational risk quantification and insurance , 2001 .
[44] Economic Risk Capital and Reinsurance: an Extreme Value Theory’s Application to Fire Claims of an Insurance Company∗ , 2001 .
[45] Manfred Gilli,et al. Extreme Value Theory for Tail-Related Risk Measures , 2000 .
[46] Paul Embrechts,et al. Extremes and Integrated Risk Management , 2000 .
[47] L. Haan,et al. Using a Bootstrap Method to Choose the Sample Fraction in Tail Index Estimation , 2000 .
[48] Younes Bensalah,et al. Steps in Applying Extreme Value Theory to Finance: A Review , 2000 .
[49] Philippe Artzner,et al. Coherent Measures of Risk , 1999 .
[50] S. Resnick,et al. Extreme Value Theory as a Risk Management Tool , 1999 .
[51] A. McNeil. Extreme Value Theory for Risk Managers , 1999 .
[52] Daryl J. Daley,et al. An Introduction to the Theory of Point Processes , 2013 .
[53] Satishs Iyengar,et al. Multivariate Models and Dependence Concepts , 1998 .
[54] F. Diebold,et al. Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management , 1998 .
[55] S. Rachev,et al. Mass transportation problems , 1998 .
[56] A. McNeil,et al. The Peaks over Thresholds Method for Estimating High Quantiles of Loss Distributions , 1998 .
[57] A. McNeil. Estimating the Tails of Loss Severity Distributions Using Extreme Value Theory , 1997, ASTIN Bulletin.
[58] Benoit B. Mandelbrot,et al. Fractals and Scaling in Finance , 1997 .
[59] J. Hüsler,et al. Laws of Small Numbers: Extremes and Rare Events , 1994 .
[60] B. Silverman,et al. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach , 1993 .
[61] Rolf-Dieter Reiss,et al. A Course on Point Processes , 1992 .
[62] Malcolm R Leadbetter,et al. On a basis for 'Peaks over Threshold' modeling , 1991 .
[63] S. Resnick. Extreme Values, Regular Variation, and Point Processes , 1987 .
[64] R. Nelsen. Discrete bivariate distributions with given marginals and correlation , 1987 .
[65] Robert C. Griffiths,et al. ASPECTS OF CORRELATION IN BIVARIATE POISSON DISTRIBUTIONS AND PROCESSES , 1979 .
[66] R. Cowan. An introduction to the theory of point processes , 1978 .