Best practice in credit risk modelling and management cobines empirical data, research expertise, and technological capability. In this article, Geoff Fite and Jing Zhang identify and expound on these requirements and illustrate a sample solution that incorporates them
The state of credit risk measurement has been evolving rapidly since the last credit cycle. Best practice in credit risk modelling and management is now, more than ever and irrespective of portfolio size and institution characteristics, dependent upon three critical capabilities: empirical data, research expertise and technological capability. Successful management of credit risk begins with the measurement of individual obligors and instruments, culminating in the analysis of complex portfolios of varied exposures.
Sign up for Risk.net email alerts
Singapore, 22nd - 23rd Jul 2014
Australia, 12th - 13th Aug 2014
UK, 10th - 12th Sep 2014
There are no comments submitted yet. Do you have an interesting opinion? Then be the first to post a comment.