Audit Client Composition and Predicting Large Bank Failures: A Possibilistic Approach

Jan Smolarski; Thomas Whalen; IEEE

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Conference proceeding

Audit Client Composition and Predicting Large Bank Failures: A Possibilistic Approach

Jan Smolarski, Thomas Whalen and IEEE

2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, p.359

01/01/2009

Abstract

Computer Science

Computer Science, Artificial Intelligence

Computer Science, Information Systems

Computer Science, Interdisciplinary Applications

Science & Technology

Technology

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.

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Title: Audit Client Composition and Predicting Large Bank Failures: A Possibilistic Approach
Creators - without role: Jan Smolarski - Univ Texas Pan Amer, Coll Business, Edinburg, TX 78539 USA
Thomas Whalen - Georgia State University
IEEE
Publication Details: 2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, p.359
Publisher: IEEE
Number of pages: 3
Identifiers: 9913623508331
Academic Unit: Alfaisal University
Language: English
Resource Type: Conference proceeding