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Information from Relationship Lending: Evidence from Loan Defaults in China
Authors:CHUN CHANG  GUANMIN LIAO  XIAOYUN YU  ZHENG NI
Abstract: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 the fact that hard information for such firms is abundant.
Keywords:D81  D82  D83  F34  G21  debt default  internal credit ratings  credit risk  relationship information  relationship lending  hard and soft information
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