This is the web's most comprehensive credit risk modeling and measurement resource for corporate debt. There are currently 1,551 references with abstracts to credit risk management and modeling related research, 1,322 of these are full text freely downloadable papers. If I have missed anything, then please contact me.
I read this, found it astonishingly well researched, and feel it'd be very relevant to the visitors of this site who tend to be "information based". -- Greg Gupton
The "Big List" of 1,711 researchers who are listed authors on DefaultRisk posted papers. New this month, are over 600 linked names to these author's pages. I encourage you to get to know your fellow researchers.
Bank Management by Timothy W. Koch, S. Scott MacDonald South-Western College, July 2009, Hardcover, 820 pages
Prof. Wim Schoutens , and Prof. André Lucas now have organizing pages. I encourage you to browse their contributions. Please note that organizing pages are a bit of a pain for me, are composed sporadically, and are assigned by ranking formula.
This is not a vendor site. It is just my own. I have been excited by credit risk methodologies throughout my career. Although I am the principal author of CreditMetrics® and LossCalc™ (and have a natural affinity for them), I am more of an advocate for the continued study of credit risk modeling. Wonderfully, there are over seventeen hundred researchers featured on this site (see the full list)!
"I'm making the world less risky; one credit portfolio at a time!"
What I want is to advance the state-of-the-art of credit risk management ... through YOU. I hope to give you all the tools to understand the strengths and limits of credit value-at-risk models so you can take the best and ... I trust ... create better ones. This site has been under continual development since 2000 and will continue to grow. I'm trying to satisfy two audiences:
Practitioners have a no-nonsense need to address risk in a timely fashion. Institutions hire research people to develop internally (and adapt from external sources) risk measurement and pricing systems to address tangible needs.
Academics have the more strategic, but no less difficult, need to efficiently access the many disparate sources of prior research and to gain insight into current practitioner practice & demand.