Can risk modeling work?
Elizabeth Sheedy ()
Additional contact information
Elizabeth Sheedy: Macquarie University, Postal: Sydney, Australia, http://www.mafc.mq.edu.au/faculty.htm
Journal of Financial Transformation, 2009, vol. 27, 82-87
Abstract:
Does the 2007/08 market crisis herald the end of risk modeling and the empirical method? This paper supports the hypothesis that recent risk modeling problems were caused by the use of inappropriate risk models which are fixable rather than fundamentally flawed. An extensive analysis including the sub-prime crisis shows that GARCH-based risk measures offer a potential solution to these problems. The paper also explores some risk modeling issues that arose during the crisis such as the appropriate choice of sample size and how to incorporate dynamic feedback effects into a risk model used for stress-testing. I illustrate a stress-testing method that applies the GARCH approach but results in relatively stable capital requirements preferred by practitioners. This method appears to address some of the concerns raised by regulators with respect to stress-testing practices during the market turbulence and would result in more conservative gearing levels for financial institutions.
Keywords: Financial crisis; risk modeling; GARCH-based risk measures (search for similar items in EconPapers)
JEL-codes: G01 G10 G21 (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ris:jofitr:1389
Access Statistics for this article
Journal of Financial Transformation is currently edited by Prof. Shahin Shojai
More articles in Journal of Financial Transformation from Capco Institute 77 Water Street, 10th Floor, New York NY 10005.
Bibliographic data for series maintained by Prof. Shahin Shojai ( this e-mail address is bad, please contact ).