Soft Information and Small Business Lending

Yehning Chen, Rachel J. Huang, John Tsai, Larry Y. Tzeng

研究成果: 雜誌貢獻期刊論文同行評審

35 引文 斯高帕斯(Scopus)

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.

原文???core.languages.en_GB???
頁(從 - 到)115-133
頁數19
期刊Journal of Financial Services Research
47
發行號1
DOIs
出版狀態已出版 - 2月 2013

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