The calculation of portfolio unexpected loss in credit and operational risk
Michael Samuels
Journal of Risk Management in Financial Institutions, 2011, vol. 5, issue 1, 76-85
Abstract:
In effective risk management, it is of importance to take account of risk aspects from both a credit and operational risk viewpoint. This paper attempts to address both of these areas. The essential tool is the calculation of joint default probabilities starting with an asset correlation and a bivariate normal joint distribution assumption, for log returns of asset values in the case of credit risk, and, an event correlation and a bivariate normal joint distribution assumption for performance scores in the case of operational risk. From this it is shown how to calculate default correlations between counterparties or operational risks and hence a method for assessing unexpected loss for portfolios. The method of moments may then be used to construct a portfolio loss distribution and an appropriate extremal loss measure such as 99.9 per cent value at risk (VaR) or tail VaR.
Keywords: asset and default correlation; joint default; loss distribution; VaR; tail VaR (search for similar items in EconPapers)
JEL-codes: E5 G2 (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
https://hstalks.com/article/1871/download/ (application/pdf)
https://hstalks.com/article/1871/ (text/html)
Requires a paid subscription for full access.
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:aza:rmfi00:y:2011:v:5:i:1:p:76-85
Access Statistics for this article
More articles in Journal of Risk Management in Financial Institutions from Henry Stewart Publications
Bibliographic data for series maintained by Henry Stewart Talks ().