Measuring Network Externality in P2P Lending Industry

Kai Qiao, Fang Kun Rong, Dao Xin Wu, Pei Wu Dong

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The attachment curve was used to examine the existence of network externality in P2P lending industry and a model based on supply and demand theory was proposed to measure it. Operational data of 50 domestic P2P lending platforms from June 2015 to May 2016 were collected. With these data, ordinary least square (OLS) regression and dynamic ordinary least square (DOLS) regression were used to measure their network externality. The results show that, there exists a long-term and stable relationship between the number of lenders and that of borrowers; P2P lending industry exhibits positive network externality around 0.1 at the lending side and does not show obvious network externality at the borrowing side. Further Granger Causality Test finds that the growth in the number of lenders is useful in forecasting the growth in the number of borrowers. Therefore, from the perspective of network externality, giving allowance to lenders is a reasonable strategy for P2P lending platforms.

Original languageEnglish
Pages (from-to)1096-1100
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume37
Issue number10
DOIs
Publication statusPublished - 1 Oct 2017

Keywords

  • Econometric models
  • Network externality
  • P2P Lending
  • Quantitative economics

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