银行贷款加价与逆向选择

M. Beyhaghi, Cesare Fracassi, Gregory Weitzner
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引用次数: 4

摘要

逆向选择如何影响银行贷款利率?使用企业银行贷款数据,我们使用银行向美联储报告的内部风险度量来创建一个加价度量。我们的风险调整后的加价指标并不能预测贷款的后续表现,而不包括银行私人风险评估的一项指标则有力地预测了贷款的表现。与信息不对称理论(集中度较低会增加银行提取的信息租金)一致,我们发现,在集中度较低的地区,在更容易受到信息不对称影响的企业中,以及当企业留在现有银行时,加成率更高。最后,较高的地方加价与较低的贷款额和较高的抵押水平有关。我们的研究结果表明,逆向选择驱动着加价、贷款额和贷款标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bank Loan Markups and Adverse Selection
How does adverse selection affect the interest rates on bank loans? Using corporate bank loan data, we create a measure of markup using the internal measures of risk banks report to the Federal Reserve. Our risk-adjusted measure of markup does not predict the subsequent performance of loans, while a measure excluding banks’ private risk assessments strongly predicts performance. Consistent with theories of asymmetric information in which lower concentration increases the information rents banks extract, we find that markups are higher in less concentrated regions, among firms that are more subject to asymmetric information and when firms stay with their existing banks. Finally, higher local markups are associated with lower loan volume and higher levels of collateralization. Our findings suggest that adverse selection drives markups, loan volume and lending standards.
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