CentER Discussion Paper Series No. 2009-39S
86 Pages Posted: 15 Mar 2009 Last revised: 14 May 2014
Date Written: June 24, 2013
Using a proprietary database from a large Chinese state-owned bank, we examine whether information evolved from banking relationships predicts commercial loan default by industrial firms. We find that the bank’s relationship information is significantly linked to the incidence of default, and that its contribution to prediction accuracy is larger than any hard information. Furthermore, the effect of relationship information is stronger among firms that have a more sustained banking relationship. Our findings indicate that, at least in the emerging markets, a bank’s relationship information still matters for large firms, despite that fact that hard information for such firms is abundant.
Keywords: Debt default, internal credit ratings, credit risk, relationship lending, soft information
JEL Classification: G21, D81, D82, D83, F34
Suggested Citation: Suggested Citation
Chang, Chun and Liao, Guanmin and Yu, Xiaoyun and Ni, Zheng, Information from Relationship Lending: Evidence from Loan Defaults in China (June 24, 2013). Journal of Money, Credit, and Banking, Forthcoming; European Banking Center Discussion Paper No. 2009-10S; CentER Discussion Paper Series No. 2009-39S. Available at SSRN: https://ssrn.com/abstract=1359627