How loan descriptions affect the likelihood that borrowers obtain loans in P2P networks? -An empirical analysis based on the "Renrendai" platform

Information asymmetry is widespread in the P2P online lending market, creating an imbalance in the position of lenders and borrowers. This paper aims to expand the process of information exchange between lenders and borrowers by analyzing the link between soft information such as borrowers’ loan des...

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Veröffentlicht in:	PloS one 2023-09, Vol.18 (9), p.e0283508-e0283508
Hauptverfasser:	Sun, Qiao, Wang, Jigan, Zhang, Hao, Wen, Ting
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymmetry Biology and Life Sciences Computer and Information Sciences Credit risk Data collection Data exchange Descriptions Dirichlet problem Empirical analysis Forecasts and trends Information processing Information systems Innovations Linguistics Loans Peer to peer computing Peer to peer lending Personal information Physical Sciences Predictions Research and Analysis Methods Social Sciences Success Support vector machines Technology application
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