Tails of the unexpected

Credit models have been heavily criticised following their breakdown in the face of recent market moves. Could a new breed of models incorporating unknown factors driving defaults be the answer? By Mark Pengelly

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Credit models have come unstuck due to the crisis triggered by souring US subprime mortgage loans. While the base correlation approach using Gaussian copula models has long been criticised as a grossly oversimplified way of pricing bespoke collateralised debt obligation (CDO) tranches, the torrid markets of the past nine months have raised the volume of such criticisms. Banks have reported billions of dollars in losses on CDO holdings - in particular, on super-senior tranches of CDOs referencing

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Credit risk & modelling – Special report 2021

This Risk special report provides an insight on the challenges facing banks in measuring and mitigating credit risk in the current environment, and the strategies they are deploying to adapt to a more stringent regulatory approach.

The wild world of credit models

The Covid-19 pandemic has induced a kind of schizophrenia in loan-loss models. When the pandemic hit, banks overprovisioned for credit losses on the assumption that the economy would head south. But when government stimulus packages put wads of cash in…

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