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Visual analysis of risks in peer-to-peer lending market

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Abstract

Online peer-to-peer (P2P) lending financial products have been developing rapidly in recent years. This investment method is designed for people free of high-rate debts. However, the lending and borrowing affairs between anonymities may potentially produce risks, including wash sale and money laundering. Apart from the well-documented research on the causal factors and economic influence of the P2P lending market, limited attention has been paid to the risk management of individual P2P lending platforms. This study presents a visual analysis method that detects and analyzes risks in P2P lending transactions. Moreover, we evaluate our approach on real-world P2P data sets and report our findings.

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Acknowledgments

We would like to thank Jie Xu, who assisted in analyzing data using MatLab. We also thank Yuhua Liu, who assisted us with the FF model.

Funding

The current study is partially supported by the National Nature Science Foundation of China (No. 61572348, 71201113, 71671120, and 71661137001) and National High Technology Research and Development Program (863) of China (No. 2015AA020506) and China Scholarship Council (No. 201406250112).

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Authors and Affiliations

  1. School of Computer Software, Tianjin University, Tianjin, 300354, China

    Zhao Xiao

  2. College of Management and Economics, Tianjin University, Tianjin, 300072, China

    Yuelei Li

  3. Department of Computer Science, The University of Texas at Dallas, Richardson, TX, 75080-3021, USA

    Kang Zhang

  4. Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China

    Kang Zhang

Authors
  1. Zhao Xiao
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  2. Yuelei Li
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  3. Kang Zhang
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Correspondence to Kang Zhang.

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Xiao, Z., Li, Y. & Zhang, K. Visual analysis of risks in peer-to-peer lending market. Pers Ubiquit Comput 22, 825–838 (2018). https://doi.org/10.1007/s00779-018-1165-y

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  • DOI: https://doi.org/10.1007/s00779-018-1165-y

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