S
ShootaMcGavin
Member
Hi all,
Chapter 18 introduces what's called the recovery rate d. This is used in credit risk models to allow for some reduced payment in the event of a default.
I was wondering about this "recovery rate" more generally, and how it's used in real-world applications.
To me it seems a proxy for the severity of a default given a default occurs -ie the bigger the failure of the company the smaller the recovery rate is likely to be. This is obviously impacted by other external factors such as ranking of the debt etc.
But what seems strange to me is that these credit risk models put most of the effort into calculating a probability of default and then just assume a broad say 60% recovery rate. It seems that without any meaningful analysis behind this recovery assumption the usefulness of the rest of the model is put in jeopardy?
Thanks,
Chapter 18 introduces what's called the recovery rate d. This is used in credit risk models to allow for some reduced payment in the event of a default.
I was wondering about this "recovery rate" more generally, and how it's used in real-world applications.
To me it seems a proxy for the severity of a default given a default occurs -ie the bigger the failure of the company the smaller the recovery rate is likely to be. This is obviously impacted by other external factors such as ranking of the debt etc.
But what seems strange to me is that these credit risk models put most of the effort into calculating a probability of default and then just assume a broad say 60% recovery rate. It seems that without any meaningful analysis behind this recovery assumption the usefulness of the rest of the model is put in jeopardy?
Thanks,