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Modeling of Banks ‌Bankruptcy in Iran (Multivariate Statistical Analysis)

Author

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  • Ahmadian, Azam

    (Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran)

  • Mahsa, Gorji

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 ï¬ nancial characteristics of

Suggested Citation

  • Ahmadian, Azam & Mahsa, Gorji, 2015. "Modeling of Banks ‌Bankruptcy in Iran (Multivariate Statistical Analysis)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(2), pages 1-24, January.
    • Handle: RePEc:mbr:jmonec:v:10:y:2015:i:2:p:1-24
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    References listed on IDEAS

    as
    1. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    2. Kar Yan Tam & Melody Y. Kiang, 1992. "Managerial Applications of Neural Networks: The Case of Bank Failure Predictions," Management Science, INFORMS, vol. 38(7), pages 926-947, July.
    3. Lam, Kim Fung & Moy, Jane W., 2002. "Combining discriminant methods in solving classification problems in two-group discriminant analysis," European Journal of Operational Research, Elsevier, vol. 138(2), pages 294-301, April.
    4. Coleen C. Pantalone & Marjorie B. Platt, 1987. "Predicting commercial bank failure since deregulation," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 37-47.
    5. Canbas, Serpil & Cabuk, Altan & Kilic, Suleyman Bilgin, 2005. "Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case," European Journal of Operational Research, Elsevier, vol. 166(2), pages 528-546, October.
    6. Taha Zaghdoudi, 2013. "Bank Failure Prediction with Logistic Regression," International Journal of Economics and Financial Issues, Econjournals, vol. 3(2), pages 537-543.
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