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It is critical to have a robust and sound methodology for operational risk assessment and capital measurement. The most common approach for measuring operational risk within a bank – namely the loss distribution approach (LDA) – is based on the frequency and severity estimation from observed events.
However, it is challenging to build accurate and robust estimations in this framework, as shown by Cope et al (2009).
One major issue of the LDA is pooling observed events