Understanding Operational Risk Capital Approximations: First and Second Orders

Peters G.W, Targino R., Shevchenko P.V., "Understanding Operational Risk Capital Approximations: First and Second Orders". The Journal of Governance and Regulation, 2(3), (2013).

34 Pages Posted: 5 Sep 2014

See all articles by Gareth Peters

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

Rodrigo Targino

Getulio Vargas Foundation (FGV) - EMAp - School of Applied Mathematics

Pavel V. Shevchenko

Macquarie University; Macquarie University, Macquarie Business School

Multiple version iconThere are 2 versions of this paper

Date Written: December 30, 2013

Abstract

We set the context for capital approximation within the framework of the Basel II/III regulatory capital accords. This is particularly topical as the Basel III accord is shortly due to take effect. In this regard, we provide a summary of the role of capital adequacy in the new accord, highlighting along the way the significant loss events that have been attributed to the Operational Risk class that was introduced in the Basel II and III accords. Then we provide a semi-tutorial discussion on the modelling aspects of capital estimation under a Loss Distributional Approach (LDA). Our emphasis is to focus on the important loss processes with regard to those that contribute most to capital, the so called "high consequence, low frequency" loss processes.

This leads us to provide a tutorial overview of heavy tailed loss process modelling in OpRisk under Basel III, with discussion on the implications of such tail assumptions for the severity model in an LDA structure. This provides practitioners with a clear understanding of the features that they may wish to consider when developing OpRisk severity models in practice. From this discussion on heavy tailed severity models, we then develop an understanding of the impact such models have on the right tail asymptotic of the compound loss process and we provide detailed presentation of what are known as first and second order tail approximations for the resulting heavy tailed loss process. From this we develop a tutorial on three key families of risk measures and their equivalent second order asymptotic approximations: Value-at-Risk (Basel III industry standard); Expected Shortfall (ES) and the Spectral Risk Measure. These then form the capital approximations.

We then provide a few example case studies to illustrate the accuracy of these asymptotic capital approximations, the rate of the convergence of the asymptotic result as a function of the LDA frequency and severity model parameters, the sensitivity of the capital approximation to the model parameters and the sensitivity to model mis-specification.

Suggested Citation

Peters, Gareth and Targino, Rodrigo and Shevchenko, Pavel V., Understanding Operational Risk Capital Approximations: First and Second Orders (December 30, 2013). Peters G.W, Targino R., Shevchenko P.V., "Understanding Operational Risk Capital Approximations: First and Second Orders". The Journal of Governance and Regulation, 2(3), (2013)., Available at SSRN: https://ssrn.com/abstract=2373123

Gareth Peters (Contact Author)

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

Rodrigo Targino

Getulio Vargas Foundation (FGV) - EMAp - School of Applied Mathematics ( email )

Praia de Botafogo
Rio de Janeiro, 22250-900
Brazil

HOME PAGE: http://https://sites.google.com/site/rodrigodossantostargino/

Pavel V. Shevchenko

Macquarie University ( email )

North Ryde
Sydney, New South Wales 2109
Australia

HOME PAGE: http://www.businessandeconomics.mq.edu.au/contact_the_faculty/all_fbe_staff/pavel_shevchenko

Macquarie University, Macquarie Business School ( email )

New South Wales 2109
Australia

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