{"title":"产品网络连接和贷款定价信息","authors":"Jiang Lawrence Fu, Yoshiaki Ogura","doi":"10.2139/ssrn.2941349","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":346911,"journal":{"name":"Financial Institutions submissions","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Product Network Connectivity and Information for Loan Pricing\",\"authors\":\"Jiang Lawrence Fu, Yoshiaki Ogura\",\"doi\":\"10.2139/ssrn.2941349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":346911,\"journal\":{\"name\":\"Financial Institutions submissions\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Financial Institutions submissions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2941349\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Institutions submissions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2941349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Product Network Connectivity and Information for Loan Pricing
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.