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Product Network Connectivity and Information for Loan Pricing 产品网络连接和贷款定价信息
Pub Date : 2017-03-27 DOI: 10.2139/ssrn.2941349
Jiang Lawrence Fu, Yoshiaki Ogura
A theory predicts that loan pricing is less sensitive to public information, such as a credit score provided by a credit information vendor, if the lender obtains more accurate private information about the credit quality of borrowers. We find that loan pricing is less sensitive to public information when a borrower is more connected with other borrowers of the lender through a supply network by using a unique database of inter-firm relationships and bank-firm relationships. This effect is significant statistically and economically after controlling for the bank-firm or inter-firm relationship characteristics and other firm characteristics. This finding provides evidence that banks make use of private information observed from their borrowers' network in their loan pricing.
有一种理论预测,如果出借人获得了关于借款人信用质量的更准确的私人信息,那么贷款定价对公共信息(如信用信息供应商提供的信用评分)的敏感性就会降低。我们发现,当借款人与贷款人的其他借款人通过使用独特的企业间关系和银行-企业关系数据库的供应网络联系更紧密时,贷款定价对公共信息的敏感性较低。在控制了银行-企业或企业间关系特征和其他企业特征后,这种效应在统计和经济上都是显著的。这一发现为银行利用从借款人网络中观察到的私人信息进行贷款定价提供了证据。
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引用次数: 2
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Financial Institutions submissions
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