What executives should know about structural credit risk models and their limitations: a primer with examples
Samuel Malone,
Abel Rodriguez () and
Enrique ter Horst
Additional contact information
Abel Rodriguez: University of California, Santa Cruz, Postal: 1156 High St, Santa Cruz, CA 95064, http://www.soe.ucsc.edu/
Journal of Financial Transformation, 2009, vol. 27, 58-62
Abstract:
The global financial crisis has brought to the forefront the need for executives to better understand the uses and limitations of the structural models frequently employed in the valuation and risk management activities of their firms. The mandate to better manage systemic risk exposure, moreover, dovetails in important ways with the aforementioned goal, given recent advances in the use of structural models in the emerging macrofinance literature for quantifying risk transfer between sectors and economies. This article summarizes the basic structural credit risk literature which originated in the work of Merton (1974), highlights several known limitations of such models, along with possible solutions, and discusses the use of structural models in macrofinance, a field that has already begun to generate useful solutions for several multilateral institutions and central banks around the world.
Keywords: Financial crisis; risk management; risk transfer (search for similar items in EconPapers)
JEL-codes: G01 G13 (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:
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:1386
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 ).