Artikel
Borrower's default and self-disclosure of social media information in P2P lending
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.
- Sprache
-
Englisch
- Erschienen in
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Journal: Financial Innovation ; ISSN: 2199-4730 ; Volume: 2 ; Year: 2016 ; Issue: 30 ; Pages: 1-6 ; Heidelberg: Springer
- Klassifikation
-
Management
- Thema
-
P2P lending
Social media
Self-disclosure
Default
Difference-in-difference
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Ge, Ruyi
Feng, Juan
Gu, Bin
- Ereignis
-
Veröffentlichung
- (wer)
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Springer
- (wo)
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Heidelberg
- (wann)
-
2016
- DOI
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doi:10.1186/s40854-016-0048-3
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Ge, Ruyi
- Feng, Juan
- Gu, Bin
- Springer
Entstanden
- 2016
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