Estimating credit contagion in a standard-factor model

State-of-the-art credit risk portfolio models and the new Basel capital Accord consider only symmetric dependencies between borrowers in a portfolio, such as correlations. Recently, asymmetric dependencies have been introduced by Davis & Lo (2001), among others, but statistical estimation techniques and empirical evidence on contagion are still scarce. Daniel Rosch and Birker Winterfeldt provide a simple credit risk portfolio model extension to credit contagion and show how its parameters can be easily estimated and tested

Among the most important positions on the asset side of a financial institution's balance sheet are credit-risky securities, and a major task for risk managers and analytics is the appropriate modelling and forecasting of the inherent credit risk. Banks and other firms typically use credit risk models for this purpose, either supplied by vendors such as CreditMetrics or CreditRisk+ or internally developed (see, for example, Finger, 1998; Credit Suisse First Boston, 1997; or Bluhm, Overbeck &

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

The changing shape of risk

S&P Global Market Intelligence’s head of credit and risk solutions reveals how firms are adjusting their strategies and capabilities to embrace a more holistic view of risk

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