DocumentCode
2405710
Title
Audit client composition and predicting large bank failures: A possibilistic approach
Author
Smolarski, Jan ; Whalen, Thomas
Author_Institution
Coll. of Bus., Univ. of Texas Pan American, Edinburg, TX, USA
fYear
2009
fDate
14-17 June 2009
Firstpage
1
Lastpage
6
Abstract
We develop a possibility based model with the aim of helping firms to deal with difficult-to- predict catastrophic failures. Our study is motivated by the recent economic turmoil and recent large financial firm failures. Our results suggest that specialization is an alternative to portfolio diversification in predicting catastrophic events.
Keywords
auditing; banking; reliability; audit client composition; catastrophic failures; economic turmoil; large bank failures; possibility based model; Bayesian methods; Economic forecasting; Educational institutions; Environmental economics; Failure analysis; Information analysis; Information processing; Predictive models; Risk management; Testing; Rare events; auditing; bank failure; possibility; risk;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location
Cincinnati, OH
Print_ISBN
978-1-4244-4575-2
Electronic_ISBN
978-1-4244-4577-6
Type
conf
DOI
10.1109/NAFIPS.2009.5156448
Filename
5156448
Link To Document