| dc.contributor | 風險與保險研究中心 | |
| dc.creator (作者) | Chen, Yehning;Huang, Rachel J.;Tsai, John;Tzeng, Larry Y. | |
| dc.creator (作者) | 黃瑞卿;曾郁仁 | zh_TW |
| dc.date (日期) | 2015-02 | |
| dc.date.accessioned | 5-Aug-2015 14:37:22 (UTC+8) | - |
| dc.date.available | 5-Aug-2015 14:37:22 (UTC+8) | - |
| dc.date.issued (上傳時間) | 5-Aug-2015 14:37:22 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/77427 | - |
| dc.description.abstract (摘要) | Using data from a Taiwanese finance company, this paper empirically investigates the value of soft information, information that requires the subjective interpretation by the loan officers who collect it and cannot be credibly transmitted to others, for making small business loans. It finds that the use of soft information significantly improves the power of default prediction models. It also identifies the types of soft information that are helpful for predicting loan defaults. In addition, it shows that borrowers with more favorable soft information enjoy lower interest rates. These results imply that soft information is important for small business lending. | |
| dc.format.extent | 305900 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Journal of Financial Services Research,47,(1),115-133 | |
| dc.subject (關鍵詞) | Soft information;Small business lending;Default prediction;Credit scoring;G21;G33 | |
| dc.title (題名) | Soft Information and Small Business Lending | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1007/s10693-013-0187-x | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/s10693-013-0187-x | |
