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

作　　者：Ruyi Ge Juan Feng Bin Gu 

机构地区：[1]College of Information and Computer Science,Shanghai Business School,Shanghai 200235,China [2]Department of Information Systems,College of Business,City University of Hong Kong,Kowloon Tong,Hong Kong [3]Department of Information Systems,WP Carey School of Business,Arizona State University,Tempe,USA

出　　处：《Financial Innovation》2016年第1期381-386,共6页金融创新（英文）

基　　金：Juan Feng would like to acknowledge GRF(General Research Fund)9042133;City U SRG grant 7004566;Bin Gu would like to acknowledge National Natural Science Foundation of China[Grant 71328102].

摘　　要：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.

关 键 词：P2P lending Social media SELF-DISCLOSURE DEFAULT DIFFERENCE-IN-DIFFERENCE 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]