Predicting and deterring default with social media information in peer-to-peer lending
Ruyi Ge, Juan Feng, Bin Gu, and Pengzhu Zhang
| Year of publication: |
2017
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|---|---|
| Authors: | Ge, Ruyi ; Feng, Juan ; Gu, Bin ; Zhang, Pengzhu |
| Published in: |
Journal of management information systems : JMIS. - Philadelphia, PA : Taylor & Francis Group, LLC, ISSN 0742-1222, ZDB-ID 883127-0. - Vol. 34.2017, 2, p. 401-424
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| Subject: | default probability | difference-in-differences | fintech | peer-to-peer lending | online P2P lending | lending industry | propensity score matching | online self-disclosure | social media | soft information | Weibo | Social Web | Social web | Kreditgeschäft | Bank lending | Kreditrisiko | Credit risk | Online-Marketing | Internet marketing | Kreditwürdigkeit | Credit rating | Share Economy | Sharing economy | Finanztechnologie | Financial technology |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07421222.2017.1334472 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011764496