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Bank failure prediction: corporate governance and financial indicators
This paper reiterates the importance of corporate governance in banks. Failure prediction studies have mainly relied on using financial ratios as predictors. The most suitable financial predictors for banks are financial ratios following the CAMEL rating system. Also, corporate governance has been p...
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Published in: | Review of quantitative finance and accounting 2023-08, Vol.61 (2), p.601-631 |
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description | This paper reiterates the importance of corporate governance in banks. Failure prediction studies have mainly relied on using financial ratios as predictors. The most suitable financial predictors for banks are financial ratios following the CAMEL rating system. Also, corporate governance has been proven to be an important aspect of banks, especially after the financial crisis. Given its importance, the novelty of this paper is to test the ability of corporate governance to increase the accuracy and extend the time-horizon of bank failure prediction in the US market. Using discriminant analysis, we predict the failure of banks insured by the Federal Deposit Insurance Corporation from 2010 to 2018. Using financial and non-financial predictors, we find that combining CAMEL ratios with corporate governance variables not only increases the accuracy of prediction but also extends the time horizon to three years before failure. We also show that bank earnings is a more significant predictor than capital structure and asset quality. The results further reveal that CEO compensation, voting rights and institutional ownership are significant predictors. These results are robust when using logit regression and out-of-sample examination. This study shows that corporate governance plays a key role in the success or failure of banks. The regulatory implication of this paper is that more attention needs to be directed to corporate governance and earnings aspects of banks rather than focusing on capital structure. |
doi_str_mv | 10.1007/s11156-023-01158-z |
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Failure prediction studies have mainly relied on using financial ratios as predictors. The most suitable financial predictors for banks are financial ratios following the CAMEL rating system. Also, corporate governance has been proven to be an important aspect of banks, especially after the financial crisis. Given its importance, the novelty of this paper is to test the ability of corporate governance to increase the accuracy and extend the time-horizon of bank failure prediction in the US market. Using discriminant analysis, we predict the failure of banks insured by the Federal Deposit Insurance Corporation from 2010 to 2018. Using financial and non-financial predictors, we find that combining CAMEL ratios with corporate governance variables not only increases the accuracy of prediction but also extends the time horizon to three years before failure. We also show that bank earnings is a more significant predictor than capital structure and asset quality. The results further reveal that CEO compensation, voting rights and institutional ownership are significant predictors. These results are robust when using logit regression and out-of-sample examination. This study shows that corporate governance plays a key role in the success or failure of banks. The regulatory implication of this paper is that more attention needs to be directed to corporate governance and earnings aspects of banks rather than focusing on capital structure.</description><identifier>ISSN: 0924-865X</identifier><identifier>EISSN: 1573-7179</identifier><identifier>DOI: 10.1007/s11156-023-01158-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Accounting/Auditing ; Accuracy ; Bank earnings ; Bank failures ; Capital structure ; Compensation ; Corporate Finance ; Corporate governance ; Discriminant analysis ; Earnings ; Econometrics ; Economic crisis ; Economics and Finance ; Finance ; Insurance ; Operations Research/Decision Theory ; Original Research ; Ownership ; Voting rights</subject><ispartof>Review of quantitative finance and accounting, 2023-08, Vol.61 (2), p.601-631</ispartof><rights>The Author(s) 2023</rights><rights>The Author(s) 2023. 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Failure prediction studies have mainly relied on using financial ratios as predictors. The most suitable financial predictors for banks are financial ratios following the CAMEL rating system. Also, corporate governance has been proven to be an important aspect of banks, especially after the financial crisis. Given its importance, the novelty of this paper is to test the ability of corporate governance to increase the accuracy and extend the time-horizon of bank failure prediction in the US market. Using discriminant analysis, we predict the failure of banks insured by the Federal Deposit Insurance Corporation from 2010 to 2018. Using financial and non-financial predictors, we find that combining CAMEL ratios with corporate governance variables not only increases the accuracy of prediction but also extends the time horizon to three years before failure. We also show that bank earnings is a more significant predictor than capital structure and asset quality. The results further reveal that CEO compensation, voting rights and institutional ownership are significant predictors. These results are robust when using logit regression and out-of-sample examination. This study shows that corporate governance plays a key role in the success or failure of banks. 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subjects | Accounting/Auditing Accuracy Bank earnings Bank failures Capital structure Compensation Corporate Finance Corporate governance Discriminant analysis Earnings Econometrics Economic crisis Economics and Finance Finance Insurance Operations Research/Decision Theory Original Research Ownership Voting rights |
title | Bank failure prediction: corporate governance and financial indicators |
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