Skip to main content

Maximum likelihood estimate of default correlations

Estimating asset correlations is difficult in practice since there is little available data andmany parameters have to be found. Paul Demey, Jean-Frédéric Jouanin, Céline Roget andThierry Roncalli present a tractable version of the multi-factor Merton model in which firmsare sorted into homogeneous risk classes. They derive a simplified maximum likelihoodapproach that provides estimates in a reasonable computational time. As an application ofthis methodology, industrial sector correlations are estimated from S&P’s data

Click Here To Download PDF

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

Want to know what’s included in our free membership? Click here

Show password
Hide password

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…

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here