Large lending in the banking industry has sparked concerns about banks’ efficiency performance, particularly, if it is related to their credit risk, as trade credit, provided by large, creditworthy firms. We provide evidence of a rather neglected issue regarding the impact of large lending on banks’ efficiency using cost and profit stochastic functions. A unique dataset was constructed concerning all US banks collected from the Statistics on Depository Institutions report compiled by the Federal Deposit Insurance Corporation. Our sample contains US banks tracked yearly for the period 2010–2017, creating an unbalanced panel of year observations. An econometric framework based on nested non-neutral frontiers was developed to estimate the influence and the decomposition of large lending on the three banks’ performance aspects. Moreover, different types of frontiers aiming at the cost and profit sides have been investigated, and the associated elasticities have been calculated. We notice that large lending plays a crucial role in banks’ technical efficiency. Variations among different frontier models, type of bank and size, banks’ ownership structure, and macroeconomic conditions appear to be present. By considering all capital adequacy asset quality management earnings liquidity parameters, we notice that banks’ financial strength affects banks’ efficiency.

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大型贷款和银行绩效。有什么关系吗？来自美国银行的经验证据

银行业的大额贷款引发了人们对银行效率表现的担忧，特别是当它与信用风险相关时，例如由大型信誉良好的公司提供的贸易信贷。我们使用成本和利润随机函数提供了一个相当被忽视的问题的证据，即大额贷款对银行效率的影响。我们从联邦存款保险公司编制的存款机构统计报告中收集了所有美国银行的独特数据集。我们的样本包含 2010 年至 2017 年期间每年跟踪的美国银行，从而创建了一个不平衡的年度观察组。开发了一个基于嵌套非中性前沿的计量经济学框架，以估计大额贷款对三大银行绩效的影响和分解。而且，研究了针对成本和利润方面的不同类型的前沿，并计算了相关的弹性。我们注意到，大额贷款对银行的技术效率起着至关重要的作用。不同前沿模型、银行类型和规模、银行所有权结构以及宏观经济条件之间似乎存在差异。通过考虑所有资本充足率、资产质量、管理收益、流动性参数，我们注意到银行的财务实力影响银行的效率。宏观经济条件似乎已经存在。通过考虑所有资本充足率、资产质量、管理收益、流动性参数，我们注意到银行的财务实力影响银行的效率。宏观经济条件似乎已经存在。通过考虑所有资本充足率、资产质量、管理收益、流动性参数，我们注意到银行的财务实力影响银行的效率。