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Ridiculous, flawed, too diverse: op risk models under fire

Using the same dataset but different operational risk models can produce capital numbers billions of dollars apart, critics claim. Regulators say they want more consistency, but it’s not clear how they can achieve it. Matt Cameron reports

op-risk-losses

If two banks were given the same operational loss data, and asked to calculate a capital requirement on the back of it, the results would be different – a natural consequence of the make-do-and-mend modelling framework that is the advanced measurement approach (AMA). But how different would they be – and how far can divergence go before the rules become meaningless?

Critics claim it has gone too

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Emerging trends in op risk

Karen Man, partner and member of the global financial institutions leadership team at Baker McKenzie, discusses emerging op risks in the wake of the Covid‑19 pandemic, a rise in cyber attacks, concerns around conduct and culture, and the complexities of…

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