Banking Supervision, Based on an Early Warning System, Using CAMEL Ratios and a Logit Model
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Soodabeh Seraj * 1, Mandana Taheri  |
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Abstract: (4739 Views) |
This paper evaluates the financial performance of Iranian banks, based on an early warning system, using Logit Predicting Model and presenting CAMEL ratios: Capital Adequacy, Asset Quality, Management, Earning, and Liquidity. For this purpose, we use financial data of 17 state and private banks during the period of 2005-2011. The results suggest that 6 ratios (from 17 rations of logit regression as independent variables) are able to assess/ evaluate and supervise the banking operation. In other words, central bank, by monitoring these 6 ratios, can apply early warning system and supervise banking system. In addition, results show that there is a significant difference between average of 12 financial ratios of state and private banks.
JEL Classification: G21, G33, M42 |
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Keywords: Banking Supervision, Early Warning System, CAMEL Ratios, Logit Model |
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Full-Text [PDF 229 kb]
(7486 Downloads)
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Type of Study: Empirical Study |
Received: 2014/08/9 | Accepted: 2014/08/9 | Published: 2014/08/9
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