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 :
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