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

نویسندگان

  • Ruyi Ge
  • Juan Feng
  • Bin Gu
چکیده

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. Keyword: P2P lending, Social media, Self-disclosure, Default, Difference-in-difference

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Borrower's Self-Disclosure of Social Media Information in P2P Lending

In peer-to-peer (P2P) lending, soft information, such as borrowers’ facial features, textual descriptions of loan applications and so on, are regarded as potential signals to screen borrowers. In this study, we examine the signaling effect of a new category of soft informationsocial media information. Leveraging a unique dataset that combines loan data from a large P2P lending company with soci...

متن کامل

Learning by Doing with Asymmetric Information: Evidence from Prosper.com∗

This paper examines the nature of information asymmetry in online peer-to-peer (P2P) lending markets. These markets use the Internet to match individual borrowers and lenders of consumer loans without financial institutions as intermediaries. Like other anonymous interactions, P2P lending may face additional information asymmetry as compared to offline because P2P lenders have less access to “h...

متن کامل

Social Networks as Signaling Mechanisms: Evidence from Online Peer-to-Peer Lending

We study the online market for peer-to-peer (P2P) lending in which individuals bid on unsecured microloans sought by other individual borrowers. Using a large sample of consummated and failed listings from the largest online P2P lending marketplace Prosper.com, we test whether social networks lead to better lending outcomes, focusing on the distinction between the structural and relational aspe...

متن کامل

Determinants of Default in P2P Lending

This paper studies P2P lending and the factors explaining loan default. This is an important issue because in P2P lending individual investors bear the credit risk, instead of financial institutions, which are experts in dealing with this risk. P2P lenders suffer a severe problem of information asymmetry, because they are at a disadvantage facing the borrower. For this reason, P2P lending sites...

متن کامل

Herding Behavior in Online Microloan Markets: Evidence from China

Lenders’ herding behavior in the peer-to-peer (P2P) lending platform in China is examined. Based on the data from PPdai.com, the largest online P2P lending market in China, we found that herding behavior is salient in P2P lending market in China, and such herding is associated with higher default rate. Keyword: Rational herding, information cascade, peer-to-peer online lending

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016