Book extract > Integration of Qualitative and Quantitative Operational Risk Data: A Bayesian Approach

The aim of this chapter is to provide a Bayesian model thatallows us to manage operational risk and measure internally thecapital requirement, compliant with the Advanced MeasurementApproaches (AMA) recommended by Basel Committee on BankingSupervision (Basel II) for internationally active banks (see, eg, BaselCommittee on Banking Supervision, 2003).

In general, the objectiveis to estimate a loss distribution and to derive functions of interestfrom it (such as the value-at-risk, or VAR). More precisely, lossesin operational risk are realisations of a convolution between acounting process (frequency) and a number of continuous ones(severities). For a review of statistical models used in operationalrisk management see, eg, Cruz (2002) and Cornalba and Giudici(2004).

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