Borrower’s default and self-disclosure of social media information in P2P lending

Ruyi Ge (), Juan Feng () and Bin Gu ()
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Ruyi Ge: Shanghai Business School
Juan Feng: City University of Hong Kong
Bin Gu: Arizona State University

Financial Innovation, 2016, vol. 2, issue 1, 1-6

Abstract: Abstract Background We examine the signaling effect of borrowers’ social media behavior, especially self-disclosure behavior, on the default probability of money borrowers on a peer-to-peer (P2P) lending site. Method We use a unique dataset that combines loan data from a large P2P lending site with the borrower’s social media presence data from a popular social media site. Results Through a natural experiment enabled by an instrument variable, we identify two forms of social media information that act as signals of borrowers’ creditworthiness: (1) borrowers’ choice to self-disclose their social media account to the P2P lending site, and (2) borrowers’ social media behavior, such as their social network scope and social media engagement. Conclusion This study offers new insights for screening borrowers in P2P lending and a novel usage of social media information.

Keywords: P2P lending; Social media; Self-disclosure; Default; Difference-in-difference (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1186/s40854-016-0048-3

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