TY - JOUR
T1 - Social capital, phone call activities and borrower default in mobile micro-lending
AU - Gao, Weihe
AU - Liu, Yong
AU - Yin, Hua
AU - Zhang, Yiwei
N1 - Funding Information:
The authors thank the Editor and reviewers for their insightful comments and suggestions, which improved the quality of this paper significantly. This work is supported by the National Natural Science Foundation of China [Grants 71872106 and 71728007 ] and the Key Project of the National Social Science Fund of China [Grant AZD057 ]. The authors are listed alphabetically and contributed equally to the paper. Corresponding author: Hua Yin, [email protected] .
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/8
Y1 - 2022/8
N2 - This study examines how the social capital of borrowers affects loan defaults in the burgeoning mobile micro-lending market. We analyze the individual-level transaction data provided by one of the world's largest mobile lending platforms. Focusing on identifying behavior-based predictors of financial transactions, we propose that mobile phone calling activities constitute a valuable measure of social capital. Drawing on the theoretical foundation of social capital theory, we identify and study two types of calling activities: incoming calls and outgoing calls, strong ties and weak ties. Our analysis shows that the more incoming calls a borrower usually receives, the less likely he or she is to default on a loan. However, the more outgoing calls a borrower makes, the more likely default will occur. We further find that calling activities associated with stronger social ties have greater predictive power for loan defaults than those associated with weaker ties. These findings demonstrate the relevance of phone call activities in consumers' financial decisions. They provide micro-lending companies with valuable alternatives for assessing borrower creditworthiness beyond “hard information”, such as credit scores and income, and further help them make more effective loan decisions.
AB - This study examines how the social capital of borrowers affects loan defaults in the burgeoning mobile micro-lending market. We analyze the individual-level transaction data provided by one of the world's largest mobile lending platforms. Focusing on identifying behavior-based predictors of financial transactions, we propose that mobile phone calling activities constitute a valuable measure of social capital. Drawing on the theoretical foundation of social capital theory, we identify and study two types of calling activities: incoming calls and outgoing calls, strong ties and weak ties. Our analysis shows that the more incoming calls a borrower usually receives, the less likely he or she is to default on a loan. However, the more outgoing calls a borrower makes, the more likely default will occur. We further find that calling activities associated with stronger social ties have greater predictive power for loan defaults than those associated with weaker ties. These findings demonstrate the relevance of phone call activities in consumers' financial decisions. They provide micro-lending companies with valuable alternatives for assessing borrower creditworthiness beyond “hard information”, such as credit scores and income, and further help them make more effective loan decisions.
KW - Credit worthiness
KW - Fintech
KW - Loan default
KW - Mobile micro-lending
KW - Social capital
UR - http://www.scopus.com/inward/record.url?scp=85129950172&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129950172&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2022.113802
DO - 10.1016/j.dss.2022.113802
M3 - Article
AN - SCOPUS:85129950172
SN - 0167-9236
VL - 159
JO - Decision Support Systems
JF - Decision Support Systems
M1 - 113802
ER -