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Internet Finance: Its Uncertain Legal Foundations and the Role of Big Data in Its Development

Author

Listed:
  • Dong Yang
  • Pu Chen
  • Fuyuan Shi
  • Chenggong Wen

Abstract

Internet finance has made significant progress in China. At the same time, it also suffers from legal gaps and inconsistencies. Traditionally, legislation regulates the emerging internet financial market by distinguishing between legal and illegal activities. Users of internet finance engage in regulatory arbitrage and pursue short-term profits, which distort the market. Regulations over internet finance should conform to market logic and utilize informational mechanisms and big data to reduce fraudulent information and market friction, ensuring market transparency, competition, and fair pricing.

Suggested Citation

  • Dong Yang & Pu Chen & Fuyuan Shi & Chenggong Wen, 2018. "Internet Finance: Its Uncertain Legal Foundations and the Role of Big Data in Its Development," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(4), pages 721-732, March.
    • Handle: RePEc:mes:emfitr:v:54:y:2018:i:4:p:721-732
    DOI: 10.1080/1540496X.2016.1278528
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    Citations

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    Cited by:

    1. Chen, Rongda & Yu, Jingjing & Jin, Chenglu & Bao, Weiwei, 2019. "Internet finance investor sentiment and return comovement," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 151-161.
    2. Guansan Du & Frank Elston, 2022. "RETRACTED ARTICLE: Financial risk assessment to improve the accuracy of financial prediction in the internet financial industry using data analytics models," Operations Management Research, Springer, vol. 15(3), pages 925-940, December.
    3. Sergey A. Vasiliev & Irina A. Nikonova & Olga S. Miroshnichenko, 2022. "Banks, Financial Platforms and Big Data: Development Trends and Regulation Directions," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 105-119, October.
    4. Zhennan Wu, 2022. "Using Machine Learning Approach to Evaluate the Excessive Financialization Risks of Trading Enterprises," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1607-1625, April.
    5. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    6. Angela Tritto & Yujia He & Victoria Amanda Junaedi, 2020. "Governing the gold rush into emerging markets: a case study of Indonesia’s regulatory responses to the expansion of Chinese-backed online P2P lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-24, December.
    7. Yang Fuming & WeiLun Huang & Liu Xiaojing, 2022. "Micro- and small-sized enterprises’ willingness to borrow via internet financial services during coronavirus disease 2019," International Entrepreneurship and Management Journal, Springer, vol. 18(1), pages 191-216, March.
    8. Yue, Pengpeng & Korkmaz, Aslihan Gizem & Yin, Zhichao & Zhou, Haigang, 2022. "The rise of digital finance: Financial inclusion or debt trap?," Finance Research Letters, Elsevier, vol. 47(PA).
    9. Tianlei Pi & Haoxuan Hu & Jingyi Lu & Xue Chen, 2022. "The Analysis of Fintech Risks in China: Based on Fuzzy Models," Mathematics, MDPI, vol. 10(9), pages 1-13, April.
    10. Huidong Sun & Mustafa Raza Rabbani & Muhammad Safdar Sial & Siming Yu & José António Filipe & Jacob Cherian, 2020. "Identifying Big Data’s Opportunities, Challenges, and Implications in Finance," Mathematics, MDPI, vol. 8(10), pages 1-19, October.

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