Understanding Operational Risk Capital Approximations: First and Second Orders
Gareth W.Peters, Rodrigo S. Targino, Pavel V. Shevchenko

TL;DR
This paper reviews operational risk capital estimation within Basel II/III, focusing on heavy-tailed loss models, their tail approximations, and implications for risk measures like VaR, ES, and spectral measures.
Contribution
It provides a detailed analysis of first and second order tail approximations for heavy-tailed loss processes in operational risk, enhancing understanding of capital estimation methods.
Findings
Heavy-tailed models significantly impact capital estimates.
Second order tail approximations improve accuracy over first order.
Implications for risk measures like VaR, ES, and spectral risk measures.
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…
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Taxonomy
TopicsProbability and Risk Models · Insurance and Financial Risk Management
