Exploring the sources of loan default clustering using survival analysis with frailty

Enrique Eugenio Batiz‐Zuk, Abdulkadir Mohamed, Fátima Sánchez‐Cajal
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Abstract

This paper investigates whether three microeconomic loan characteristics are sources of loan default clustering in the Mexican banking sector by employing survival analysis with frailty. Using a large sample of bank loan level data granted to micro, small and medium sized firms from January 2010 to 2018, we test whether classifying loans by the bank's systemic importance, industry or at individual firm level enhances the predictions of loans defaults. Our results show that loans granted by Domestic Systemically Important Banks contribute to the default clustering in micro and small firm loans. This is due to aggregate default rate levels and clusters that are large for these firms loans compared with loans provided to medium-sized firms. These findings have important implications for bank's expected loss management related to the correlated loan default risk
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利用脆弱性生存分析探讨贷款违约聚类的来源
本文采用带有脆弱性的生存分析方法,考察了墨西哥银行业的三个微观经济贷款特征是否为贷款违约聚集性的来源。利用2010年1月至2018年期间发放给中小微企业的大量银行贷款数据样本,我们检验了按银行的系统重要性、行业或单个企业层面对贷款进行分类是否增强了对贷款违约的预测。我们的研究结果表明,国内系统重要性银行的贷款促成了小微企业贷款的违约集聚。这是由于总的违约率水平和对这些企业来说贷款规模比提供给中型企业的贷款要大。这些发现对银行进行与相关贷款违约风险相关的预期损失管理具有重要意义
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