The quantification and aggregation of model risk: perspectives on potential approaches Online publication date: Sun, 03-Jan-2016
by Michael Jacobs
International Journal of Financial Engineering and Risk Management (IJFERM), Vol. 2, No. 2, 2015
Abstract: The field of Model Risk Management ('MRM') continues to evolve. To date, industry MRM efforts focused primarily on MRM for individual models. Now, more institutions are shifting focus towards aggregating firm-wide model risk. Regulatory guidance specifically focuses on measuring risk in individual and in aggregate. In this study, we will discuss various approaches to measuring and aggregating model risk across an institution. We also present an example of model risk quantification in the realm of stress-testing, where we compare alternative models in two different classes, Frequentist and Bayesian approaches, to modelling stressed bank losses.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Financial Engineering and Risk Management (IJFERM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com