Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks

This study examines the relationship between CAMELS index and default probability among 20 Iranian banks. The proposed study gathers the necessary information from their financial statements over the period 2005-2011. The study uses logistic regression along with Pearson correlation analysis to cons...

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Main Authors: Mohammad Khodaei Valahzaghard, Maryam Bahrami
Format: Article
Language:English
Published: Growing Science 2013-04-01
Series:Management Science Letters
Subjects:
Online Access:http://www.growingscience.com/msl/Vol3/msl_2013_80.pdf
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author Mohammad Khodaei Valahzaghard
Maryam Bahrami
author_facet Mohammad Khodaei Valahzaghard
Maryam Bahrami
author_sort Mohammad Khodaei Valahzaghard
collection DOAJ
description This study examines the relationship between CAMELS index and default probability among 20 Iranian banks. The proposed study gathers the necessary information from their financial statements over the period 2005-2011. The study uses logistic regression along with Pearson correlation analysis to consider the relationship between default probability and six independent variables including capital adequacy, asset quality, management quality, earning quality, liquidity quality and sensitivity of market risk. The results indicate that there were no meaningful relationship between default probability and three independent variables including capital adequacy, asset quality and sensitivity of market risk. However, the results of our statistical tests support such relationship between default probability and three other variables including management quality, earning quality and liquidity quality.
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spelling doaj.art-183fd601814644cbb09efc3e8d71f9372022-12-22T00:23:56ZengGrowing ScienceManagement Science Letters1923-93351923-93432013-04-013411131118Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banksMohammad Khodaei ValahzaghardMaryam BahramiThis study examines the relationship between CAMELS index and default probability among 20 Iranian banks. The proposed study gathers the necessary information from their financial statements over the period 2005-2011. The study uses logistic regression along with Pearson correlation analysis to consider the relationship between default probability and six independent variables including capital adequacy, asset quality, management quality, earning quality, liquidity quality and sensitivity of market risk. The results indicate that there were no meaningful relationship between default probability and three independent variables including capital adequacy, asset quality and sensitivity of market risk. However, the results of our statistical tests support such relationship between default probability and three other variables including management quality, earning quality and liquidity quality.http://www.growingscience.com/msl/Vol3/msl_2013_80.pdfCAMELSDefault ProbabilityCapital AdequacyEarning Quality
spellingShingle Mohammad Khodaei Valahzaghard
Maryam Bahrami
Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks
Management Science Letters
CAMELS
Default Probability
Capital Adequacy
Earning Quality
title Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks
title_full Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks
title_fullStr Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks
title_full_unstemmed Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks
title_short Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks
title_sort prediction of default probability in banking industry using camels index a case study of iranian banks
topic CAMELS
Default Probability
Capital Adequacy
Earning Quality
url http://www.growingscience.com/msl/Vol3/msl_2013_80.pdf
work_keys_str_mv AT mohammadkhodaeivalahzaghard predictionofdefaultprobabilityinbankingindustryusingcamelsindexacasestudyofiranianbanks
AT maryambahrami predictionofdefaultprobabilityinbankingindustryusingcamelsindexacasestudyofiranianbanks