Modeling of Banks Bankruptcy in Iran (Multivariate Statistical Analysis)

Azam Ahmadian () and Gorji Mahsa
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Azam Ahmadian : Monetary and Banking Research Institute (MBRI), Central Bank of the Islamic Republic of Iran (CBI)

Journal of Money and Economy, 2015, vol. 10, issue 2, 1-24

Abstract: In this paper we construct a modeling for detection of banks which are experiencing serious problems. Sample and variable set of the study contains 30 banks of Iran during 2006-2014 and their financial ratios. Well known multivariate statistical technique (principal component analysis) was used to explore the basic financial characteristics of the banks, and discriminant Logit and Probit models were estimated based on these characteristics. Results suggest that the model can be used as an analytical decision support tool in both on-site and off-site bank monitoring system to detect the banks which are experiencing serious problems.

Keywords: Bank failure; Principal component analysis; Logit; Probit (search for similar items in EconPapers)
JEL-codes: C49 G21 G33 (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:mbr:jmonec:v:10:y:2015:i:2:p:1-24

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