Capturing credit correlation between counterparty and underlying

Kirk Buckley, Sascha Wilkens and Vladimir Chorniy present a semi-analytical approach for calculating the counterparty exposure of credit derivatives contracts conditional on the default of the counterparty, based on a Merton-type asset return model. The approach provides an efficient algorithm for implementing large-scale exposure calculations for portfolios of credit derivatives

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The conventional approach to calculating counterparty exposure assumes that the underlying of the derivative and the counterparty credit quality are uncorrelated. There are many cases, however, where this assumption does not necessarily hold. Examples of these cases include emerging market currencies, commodity producers hedging future production and credit derivatives. In this article, we focus on the case of credit derivatives where the underlying reference entities are correlated with the

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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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