Bank survival is essential to economic growth and development because banks mediate the financing of the economy. A bank's overall condition is often assessed by a supervisory rating system called CAMELS, an acronym for the components Capital adequacy, Asset quality, Management quality, Earnings, Liquidity, and Sensitivity to market risk. Estimates of the impact of CAMELS components on bank survival vary widely. We perform a metasynthesis and metaregression analysis (MRA) using 2120 estimates collected from 50 studies. In the MRA, we account for uncertainty in moderator selection by employing Bayesian model averaging. The results of the synthesis indicate an economically negligible impact of CAMELS variables on bank survival; in addition, the effect of bank-specific, (macro)economic, and market factors is virtually absent. The results of the heterogeneity analysis and publication bias analysis are consistent in terms that they do not find an economically significant impact of the CAMELS variables. Moreover, best practice estimates show a small economic impact of CAMELS components and no impact of other factors. The study concludes that caution should be exercised when using CAMELS rating to predict bank survival or failure.

中文翻译：

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世界各地的银行生存：荟萃分析回顾

银行的生存对经济增长和发展至关重要，因为银行是经济融资的中介。银行的整体状况通常由称为 CAMELS 的监管评级系统评估，该系统是资本充足率、资产质量、管理质量、收益、流动性和对市场风险敏感度等组成部分的首字母缩写。对 CAMELS 组件对银行生存影响的估计差异很大。我们使用从 50 项研究中收集的 2120 个估计值进行元综合和元回归分析 (MRA)。在 MRA 中，我们通过使用贝叶斯模型平均来解释调节器选择的不确定性。综合结果表明，CAMELS 变量对银行生存的经济影响可以忽略不计；此外，银行特定、（宏观）经济和市场因素的影响几乎不存在。异质性分析和发表偏倚分析的结果是一致的，他们没有发现 CAMELS 变量的经济显着影响。此外，最佳实践估计表明，CAMELS 组件的经济影响很小，其他因素没有影响。该研究得出结论，在使用 CAMELS 评级来预测银行的生存或倒闭时应谨慎行事。