Basel II and Operational Risk: Implications for risk measurement and management in the financial sector
AbstractThis paper proposes a methodology to analyze the implications of the Advanced Measurement Approach (AMA) for the assessment of operational risk put forward by the Basel II Accord. The methodology relies on an integrated procedure for the construction of the distribution of aggregate losses, using internal and external loss data. It is illustrated on a 2x2 matrix of two selected business lines and two event types, drawn from a database of 3000 losses obtained from a large European banking institution. For each cell, the method calibrates three truncated distributions functions for the body of internal data, the tail of internal data, and external data. When the dependence structure between aggregate losses and the non-linear adjustment of external data are explicitly taken into account, the regulatory capital computed with the AMA method proves to be substantially lower than with less sophisticated approaches allowed by the Basel II Accord, although the effect is not uniform for all business lines and event types. In a second phase, our models are used to estimate the effects of operational risk management actions on bank profitability, through a measure of RAROC adapted to operational risk. The results suggest that substantial savings can be achieved through active management techniques, although the estimated effect of a reduction of the number, frequency or severity of operational losses crucially depends on the calibration of the aggregate loss distributions.
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Bibliographic InfoPaper provided by National Bank of Belgium in its series Working Paper Research with number 51.
Length: 58 pages
Date of creation: May 2004
Date of revision:
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operational risk management; basel II; advanced measurement approach; copulae; external data; EVT; RAROC; cost-benefit analysis.;
Find related papers by JEL classification:
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models
- G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
This paper has been announced in the following NEP Reports:
- NEP-ACC-2004-09-30 (Accounting & Auditing)
- NEP-ALL-2004-09-30 (All new papers)
- NEP-CMP-2004-09-30 (Computational Economics)
- NEP-FIN-2004-09-30 (Finance)
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