Operational risk in bank governance and control: How to save capital requirement through a risk transfer strategy. Evidences from a simulated case study

Author:

Scannella EnzoORCID,Blandi Giuseppe

Abstract

Operational risk management in banking has assumed such importance during the last decade. It has become increasingly important to measure, manage, and assess the impact of operational risk in the economics of banking. The purpose of this paper is to demonstrate how an effective operational risk management provides mitigating effects on capital-at-risk in banking. The paper provides evidences that an implementation of an operational risk transfer strategy reduces bank capital requirement. The paper adopts the loss distribution approach, the Monte Carlo simulation, and copula methodologies to estimate the regulatory capital and simulate an operational risk transfer strategy in banking.

Publisher

Virtus Interpress

Subject

Strategy and Management,Economics and Econometrics,Finance

Reference34 articles.

1. Abbate, D., Farkas, W. and Gourier E. (2009), “Operational Risk Quantification using Extreme Value Theory and Copulas: from Theory to Practice”, Journal of Operational Risk, Vol. 3 No. 1, pp.1-24.

2. Alexander, C. (2003), Operational Risk: Regulation, Analysis and Management, Prentice Hall, London.

3. Aprile, G. A. (2007), “L’importanza dei dati esterni nella misurazione dei rischi operativi”, Bancaria, Vol. 35, No. 4, pp.25-48.

4. Banks, E. (2004), Alternative Risk Transfer. Integrated Risk Management through Insurance, Reinsurance and the Capital Markets, John Wiley & Sons, New Jersey.

5. Basel Committee on Banking Supervision (2001), Working Paper on the Regulatory Treatment of Operational Risk, September.

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