How Bad is a Bad Loan? Distinguishing Inherent Credit Risk from Inefficient Lending (Does the Capital Market Price this Difference?)

Joseph P. Hughes, Choon-Geol Moon
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引用次数: 6

Abstract

We develop a novel technique to decompose banks’ ratio of nonperforming loans to total loans into three components: first, a minimum ratio that represents best-practice lending given the volume and composition of a bank’s loans, the average contractual interest rate charged on these loans, and market conditions such as the average GDP growth rate and market concentration; second, a ratio, the difference between the bank’s observed ratio of nonperforming loans, adjusted for statistical noise, and the best-practice minimum ratio, that represents the bank’s proficiency at loan making; third, a statistical noise. The best-practice ratio of nonperforming loans, the ratio a bank would experience if it were fully efficient at credit-risk evaluation and loan monitoring, represents the inherent credit risk of the loan portfolio and is estimated by a stochastic frontier technique. We apply the technique to 2013 data on top-tier U.S. bank holding companies which we divide into five size groups. The largest banks with consolidated assets exceeding $250 billion experience the highest ratio of nonperformance among the five groups. Moreover, the inherent credit risk of their lending is the highest among the five groups. On the other hand, their inefficiency at lending is one of the lowest among the five. Thus, the high ratio of nonperformance of the largest financial institutions appears to result from lending to riskier borrowers, not inefficiency at lending. Small community banks under $1 billion also exhibit higher inherent credit risk than all other size groups except the largest banks. In contrast, their loan-making inefficiency is highest among the five size groups. Restricting the sample to publicly traded bank holding companies and gauging financial performance by market value, we find the ratio of nonperforming loans to total loans is on average negatively related to financial performance except at the largest banks. When nonperformance, adjusted for statistical noise, is decomposed into inherent credit risk and lending inefficiency, taking more inherent credit risk enhances market value at many more large banks while lending inefficiency is negatively related to market value at all banks. Market discipline appears to reward riskier lending at large banks and discourage lending inefficiency at all banks.
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不良贷款有多严重?区分内在信用风险和低效借贷(资本市场定价这种差异吗?)
我们开发了一种新技术,将银行不良贷款占总贷款的比例分解为三个组成部分:首先,最低比例代表了考虑到银行贷款的数量和构成、这些贷款收取的平均合同利率以及平均GDP增长率和市场集中度等市场条件的最佳贷款实践;其次是比率,即银行观察到的不良贷款比率(经统计噪声调整后)与最佳实践最低比率(代表银行在贷款方面的熟练程度)之间的差异;第三,统计噪声。最佳实践不良贷款率,即银行在信用风险评估和贷款监控方面完全有效的比率,代表了贷款组合的内在信用风险,并由随机前沿技术估计。我们将这一技术应用于2013年美国顶级银行控股公司的数据,我们将这些公司分为五组。综合资产超过2500亿美元的大型银行的不良贷款率在五大银行中最高。此外,他们贷款的内在信用风险是五组中最高的。另一方面,它们的贷款效率是五家银行中最低的。因此,大型金融机构的高不良率似乎是由于向风险较高的借款人提供贷款,而不是贷款效率低下。规模在10亿美元以下的小型社区银行也比除大型银行以外的所有其他规模的银行都表现出更高的内在信用风险。相比之下,它们的贷款效率在五大银行中是最高的。将样本限制在上市银行控股公司,并通过市值衡量财务绩效,我们发现除大型银行外,不良贷款占总贷款的比例与财务绩效平均呈负相关。剔除统计噪声后,将不良业绩分解为固有信用风险和贷款无效率,更多大银行的内在信用风险增加了市场价值,而所有银行的贷款无效率与市场价值呈负相关。市场纪律似乎奖励了大型银行风险较高的贷款,并抑制了所有银行贷款效率低下的现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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