Extremes in Operational Risk Management

Abstract

Operational risk is defined as a consequence of critical contingencies, most of which are quantitative in nature, and many questions regarding economic capital allocation for operational risk continue to be open. Existing quantitative models that compute the value at risk for market and credit risk do not take into account operational risk. They also make various assumptions about ‘normality’ and so exclude extreme and rare events. In this paper we formalize the definition of operational risk and apply extreme value theory for the purpose of calculating the economic capital requirement against unexpected operational losses. Introduction Highly publicized events such as those at LTCM, Barings and Sumitomo have all involved mismanagement leading to extraordinary losses and raising concerns about financial instability at international levels. As a result, along with the established capital charges for market and credit risks, the Basle Committee on Banking Supervision is proposing an explicit capital charge to guard the banks against operational risks. The response from the banks has been an increasing number of operational risk management initiatives with corresponding efforts to formulate a framework for capital allocation for operational risk. This paper contains a model for calculating the economic capital against extreme risks which is our contribution to the quantification of operational risk.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 33 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.