Clues from networks: quantifying relational risk for credit risk evaluation of SMEs

Clues from networks: quantifying relational risk for credit risk evaluation of SMEs

Abstract Owing to information asymmetry, evaluating the credit risk of small- and medium-sized enterprises (SMEs) is difficult. While previous studies evaluating the credit risk of SMEs have mostly focused on intrinsic risk generated by SMEs, our study considers both intrinsic and relational risks g...

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Bibliographic Details
Main Authors: Jingjing Long, Cuiqing Jiang, Stanko Dimitrov, Zhao Wang
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Financial Innovation
Subjects:
SMEs
Credit risk evaluation
Interfirm network
Risk event
Relational risk
Online Access:https://doi.org/10.1186/s40854-022-00390-1

Internet

https://doi.org/10.1186/s40854-022-00390-1

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