A Research on the Influence Factors of P2P Lending Market

نویسندگان

  • Xiaoni Wen
  • Zhenqi Zhang
  • Xiaojuan Wu
چکیده

The credit platform of P2P network is a new type of lending model which based on Internet technology. It is the inevitable product in the rapid development of science, technology and social economy. It makes the current credit model more diversity and comprehensive, which plays a pivotal role in China's economic development. This paper introduces the mode and characteristics of P2P network lending, as well as the main development of P2P network lending at home and abroad. In this paper, we take the largest P2P network lending website PPDai as an example, using binary logistic regression model to establish a network lending model, researching the factors that affect the success rate of the loan, and carry on the Monte Carlo simulation, to find that credit is an important factor to guarantee the success of P2P transactions. During the period of marketization, compared to traditional finance, P2P network lending model not only has mode innovation but also need to make full use of its advantages of big data, for effective credit and risk assessment. Making outstanding contributions in order to the credit system construction and lending services.

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

Determinants and Consequences of Herding in P2P Lending Markets

In this paper, we are interested in the factors that influence herding behavior in P2P lending marketplaces. We are using data from Prosper.com to examine whether internal market specific factors and external economic factors influence the amount of herding exhibited in the market. We also investigate what consequences herding has and how marketplace participants can benefit or suffer from herd...

متن کامل

Understanding Perceived Platform Trust and Institutional Risk in Peer-to-Peer Lending Platforms from Cognition-Based and Affect-Based Perspectives

In this study, we drew from the existing online trust model to develop a specific model of online lending platform trust from the perspectives of cognition-based trust and affect-based trust. Trust between lenders and borrowers have been discussed a lot but there are no empirical studies focusing on trust toward lending platforms. The dearth of the relevant studies on this aspect indicates the ...

متن کامل

Understanding Perceived Platform Trust and Institutional Risk in Peer-to-peer Lending Platforms from Cognition-based and Affect-based Perspective

In this study, we drew from the existing online trust model to develop a specific model of online lending platform trust from the perspectives of cognition-based trust and affect-based trust. Trust between lenders and borrowers have been discussed a lot but there are no empirical studies focusing on trust toward lending platforms. The dearth of the relevant studies on this aspect indicates the ...

متن کامل

Herding Behavior In Online P2P Lending: An Empirical Investigation

We study lender behavior in the peer-to-peer (P2P) lending market, where individuals bid on unsecured microloans requested by other individual borrowers. Online P2P exchanges are growing, but lenders in this market are not professional investors. In addition, lenders have to take big risks because loans in P2P lending are granted without collateral. While the P2P lending market shares some char...

متن کامل

Online Peer-to-Peer Lending – A Literature Review

The term online peer-to-peer lending (P2P) describes the loan origination process between private individuals on online platforms were financial institutions operate only as intermediates required by law. Initialized by groups in online social networks, first commercial online P2P lending platforms started in 2005. Thus online P2P lending is a relatively young research field. This paper gives a...

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