From Fault Tree to Credit Risk Assessment: A Case Study
Hayette Gatfaoui
EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels
Abstract:
Reliability has been largely applied to industrial systems in order to study the various possibilities of systems’ failure. The goal is to establish the chain of events leading to any system’s failure, namely the top event. Looking for the minimal paths leading to any system’s fault allows for a better control of systems’ safety. To this end, reliability is composed of a static approach as well as a dynamic approach. In this paper, we extend the canonical framework allowing for the application of fault tree theory to credit risk assessment. The author explains that fault tree is one alternative approach of reliability, which matches default risk analysis in a simple framework. Our extension includes other distributions of probability to model the lifetimes of French firms while studying the related empirical default probabilities. We use mainly, but not exclusively, continuous distributions. Our results exhibit both the exponential nature of French .rms. lifetimes as well as strong convex and fast decreasing time varying failure rates. Such a feature has some non-negligible impact insofar as it characterizes corresponding credit spreads’ Term structure.
Keywords: Credit risk; default probability; failure rate; fault tree; reliability; survival (search for similar items in EconPapers)
JEL-codes: C1 D8 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2004-05
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.eeri.eu/documents/wp/EERI_RP_2004_05.pdf (application/pdf)
Related works:
Working Paper: From Fault Tree to Credit Risk Assessment: A Case Study (2008)
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:eei:rpaper:eeri_rp_2004_05
Access Statistics for this paper
More papers in EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels Contact information at EDIRC.
Bibliographic data for series maintained by Julia van Hove ().