Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk

Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, Hoboken, Wiley (2015), 899 pages.

Posted: 29 Jul 2015

See all articles by Marcelo Cruz

Marcelo Cruz

New York University (NYU) - Leonard N. Stern School of Business

Gareth Peters

Department of Actuarial Mathematics and Statistics, Heriot-Watt University; University College London - Department of Statistical Science; University of Oxford - Oxford-Man Institute of Quantitative Finance; London School of Economics & Political Science (LSE) - Systemic Risk Centre; University of New South Wales (UNSW) - Faculty of Science

Pavel V. Shevchenko

Macquarie University; Macquarie University, Macquarie Business School

Date Written: February 18, 2015

Abstract

This book is a one-stop guide for the theories, applications, and statistical methodologies essential to operational risk. Providing a complete overview of operational risk modeling and relevant insurance analytics, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk offers a systematic approach that covers the wide range of topics in this area. Written by a team of leading experts in the field, the handbook presents detailed coverage of 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.

Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk begins with coverage on the four data elements used in operational risk framework as well as processing risk taxonomy. The book then goes further in-depth into the key topics in operational risk measurement and insurance, for example diverse methods to estimate frequency and severity models. Finally, the book ends with sections on specific topics, such as scenario analysis; multifactor modeling; and dependence modeling. A unique companion with Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk, the handbook also features:

•Discussions on internal loss data and key risk indicators, which are both fundamental for developing a risk-sensitive framework •Guidelines for how operational risk can be inserted into a firm’s strategic decisions •A model for stress tests of operational risk under the United States Comprehensive Capital Analysis and Review (CCAR) program

A valuable reference for financial engineers, quantitative analysts, risk managers, and large-scale consultancy groups advising banks on their internal systems, the handbook is also useful for academics teaching postgraduate courses on the methodology of operational risk.

Keywords: operational risk, insurance, risk modelling

Suggested Citation

Cruz, Marcelo and Peters, Gareth and Shevchenko, Pavel V., Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk (February 18, 2015). Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, Hoboken, Wiley (2015), 899 pages. , Available at SSRN: https://ssrn.com/abstract=2635982

Marcelo Cruz

New York University (NYU) - Leonard N. Stern School of Business ( email )

Suite 9-160
New York, NY
United States

Gareth Peters

Department of Actuarial Mathematics and Statistics, Heriot-Watt University ( email )

Edinburgh Campus
Edinburgh, EH14 4AS
United Kingdom

HOME PAGE: http://garethpeters78.wixsite.com/garethwpeters

University College London - Department of Statistical Science ( email )

1-19 Torrington Place
London, WC1 7HB
United Kingdom

University of Oxford - Oxford-Man Institute of Quantitative Finance ( email )

University of Oxford Eagle House
Walton Well Road
Oxford, OX2 6ED
United Kingdom

London School of Economics & Political Science (LSE) - Systemic Risk Centre ( email )

Houghton St
London
United Kingdom

University of New South Wales (UNSW) - Faculty of Science ( email )

Australia

Macquarie University, Macquarie Business School ( email )

New South Wales 2109
Australia

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