Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk modeling

Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of mathematical and statistical perspectives, the handbook begins by introducing the motivation for heavy tailed risk processes in high consequence low frequency loss modeling.

With a companion, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, the book provides a complete framework for all aspects of operational risk management. Fundamental Aspects of Operational Risk and Insurance Analytics covers the theories, applications, and models inherent in any discussion of the fundamentals of operational risk, with a primary focus on Basel II/III regulation, modeling dependence, estimation of risk models, and modeling the data elements.

MARCELO G. CRUZ is currently CEO and founder of RiskMaths, a boutique consultancy specialising in the development and validation of complex mathematical and statistical models for risk management, financial asset pricing, capital allocation and financial management strategy. RiskMaths has a particular focus on operational risk modeling, measurement and hedging with a client base that includes large global financial institutions and financial regulators. Dr Cruz participates in the regulatory discussions on the new Basel Accord and was a member of the Industry Technical Working Group that proposed the changes on the regulatory capital charges to the Basel Committee on Banking Supervision. Prior to RiskMaths, Dr Cruz worked as a senior executive in the risk management area for various global investment banks and led the development of operational risk quantitative modeling for a large European bank. He has also worked as a senior derivatives trader and structurer. Dr Cruz regularly writes for several academic and industry journals and magazines including The Journal of Risk, RISK magazine, the Financial Times and Derivatives Week. He has also contributed to several risk management books, the most recent of which include 'Extremes and Integrated Risk Management', 'Managing Hedge Fund Risk', 'Mastering Risk, Volume 2' and 'Advances in Operational Risk: Firmwide Issues for Financial Institutions'. Dr Cruz is a sought-after speaker in risk management conferences and seminars and had lectured in many countries in Europe, Asia and the Americas as well as leading universities in Europe, USA and Latin America. He holds a Ph.D. in Mathematical Finance, a M.Sc., M.B.A., Diploma and a B.Sc. in Economics.

GARETH W. PETERS, PhD, is Assistant Professor in the Department of Statistical Science, Principle Investigator in Computational Statistics and Machine Learning, and Academic Member of the UK PhD Centre of Financial Computing at University College London. He is also Adjunct Scientist in Computational Informatics at the Commonwealth Scientific and Industrial Research Organisation - CSIRO -, Australia; Associate Member Oxford-Man Institute at the Oxford University; and Associate Member in the Systemic Risk Centre at the London School of Economics. In addition, he is Visiting Professor at The Institute of Statistical Mathematics, Japan.