Wash trading at cryptocurrency exchanges

被引:37
|
作者
Le Pennec, Guenole [1 ]
Fiedler, Ingo [1 ,2 ,3 ]
Ante, Lennart [1 ,2 ]
机构
[1] Blockchain Res Lab, Max Brauer Allee 46, D-22765 Hamburg, Germany
[2] Fac Business Econ & Social Sci, Von Melle Pk 5, D-20146 Hamburg, Germany
[3] Concordia Univ, Fac Arts & Sci, Dept Sociol & Anthropol, 1455 De Maisonneuve West, Montreal, PQ H3G 1M8, Canada
关键词
Bitcoin; Ethereum; Blockchain; Trading volume; Fake volume; Market manipulation;
D O I
10.1016/j.frl.2021.101982
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Cryptocurrency exchanges allegedly use wash trading to falsely signal their liquidity. We monitored twelve exchanges for metrics of web traffic and for their administered user funds. The exchanges were clustered in three distinct groups based on previous findings: (1) accuratelyreporting exchanges, (2) exchanges that engaged in wash trading, (3) exchanges with mixed evidence of wash trading. A comparison of the reported to the predicted trading volume, calibrated on the accurately-reporting exchanges, suggests that group 2 exchanges exaggerate their true volume by a factor of 25 to 50, and exchanges of group 3 by a factor of 1.25 to 33.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Are suspicious activity reporting requirements for cryptocurrency exchanges effective?
    Kim, Daehan
    Bilgin, Mehmet Huseyin
    Ryu, Doojin
    FINANCIAL INNOVATION, 2021, 7 (01)
  • [42] Do Candlestick Patterns Work in Cryptocurrency Trading?
    Ho, Kin-Hon
    Chan, Tse-Tin
    Pan, Haoyuan
    Li, Chin
    2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 4566 - 4569
  • [43] Detecting wash trading for nonfungible tokens
    Serneels, Sven
    FINANCE RESEARCH LETTERS, 2023, 52
  • [44] Direct Evidence of Bitcoin Wash Trading
    Aloosh, Arash
    Li, Jiasun
    MANAGEMENT SCIENCE, 2024, 70 (12) : 8875 - 8921
  • [45] Does the cryptocurrency market exhibits feedback trading?
    Jordao da Gama Silva, Paulo Vitor
    Neto, Augusto F. C.
    Klotzle, Marcelo Cabus
    Figueiredo Pinto, Antonio Carlos
    Gomes, Leonardo Lima
    ECONOMICS BULLETIN, 2019, 39 (04): : 2830 - 2838
  • [46] UNSURE - A machine learning approach to cryptocurrency trading
    Kochliaridis, Vasileios
    Papadopoulou, Anastasia
    Vlahavas, Ioannis
    APPLIED INTELLIGENCE, 2024, 54 (07) : 5688 - 5710
  • [47] Machine learning for cryptocurrency market prediction and trading
    Jaquart, Patrick
    Koepke, Sven
    Weinhardt, Christof
    JOURNAL OF FINANCE AND DATA SCIENCE, 2022, 8 : 331 - 352
  • [48] Approaching Multifractal Complexity in Decentralized Cryptocurrency Trading
    Watorek, Marcin
    Krolczyk, Marcin
    Kwapien, Jaroslaw
    Stanisz, Tomasz
    Drozdz, Stanislaw
    FRACTAL AND FRACTIONAL, 2024, 8 (11)
  • [49] The psychology of cryptocurrency trading: Risk and protective factors
    Delfabbro, Paul
    King, Daniel L.
    Williams, Jennifer
    JOURNAL OF BEHAVIORAL ADDICTIONS, 2021, 10 (02) : 201 - 207
  • [50] The effectiveness of technical trading rules in cryptocurrency markets
    Corbet, Shaen
    Eraslan, Veysel
    Lucey, Brian
    Sensoy, Ahmet
    FINANCE RESEARCH LETTERS, 2019, 31 : 32 - 37