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Trading Behaviours Analysis in an Artificial Stock Market

Received: 26 April 2018    Accepted:     Published: 23 May 2018
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Abstract

In this paper, we study trading behavior of five different populations with different trading strategies in the framework of an artificial stock market. Insiders who know accuracy time and quantity of inflow cash enter into market and trade with others, which increase difficulty to get more profit for non-insiders. A new clearing mechanism that matches price in order is mentioned. Simulation results show that trading strategies yield different results. It is noticeable that insider can easily get more profit in short time due to prior information.

Published in Journal of Finance and Accounting (Volume 6, Issue 2)
DOI 10.11648/j.jfa.20180602.13
Page(s) 69-75
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Trading Behaviours, Artificial Stock Market, Prior Information, Market Clearing

References
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  • APA Style

    Pan Fuchen, Li Lin. (2018). Trading Behaviours Analysis in an Artificial Stock Market. Journal of Finance and Accounting, 6(2), 69-75. https://doi.org/10.11648/j.jfa.20180602.13

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    ACS Style

    Pan Fuchen; Li Lin. Trading Behaviours Analysis in an Artificial Stock Market. J. Finance Account. 2018, 6(2), 69-75. doi: 10.11648/j.jfa.20180602.13

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    AMA Style

    Pan Fuchen, Li Lin. Trading Behaviours Analysis in an Artificial Stock Market. J Finance Account. 2018;6(2):69-75. doi: 10.11648/j.jfa.20180602.13

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  • @article{10.11648/j.jfa.20180602.13,
      author = {Pan Fuchen and Li Lin},
      title = {Trading Behaviours Analysis in an Artificial Stock Market},
      journal = {Journal of Finance and Accounting},
      volume = {6},
      number = {2},
      pages = {69-75},
      doi = {10.11648/j.jfa.20180602.13},
      url = {https://doi.org/10.11648/j.jfa.20180602.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfa.20180602.13},
      abstract = {In this paper, we study trading behavior of five different populations with different trading strategies in the framework of an artificial stock market. Insiders who know accuracy time and quantity of inflow cash enter into market and trade with others, which increase difficulty to get more profit for non-insiders. A new clearing mechanism that matches price in order is mentioned. Simulation results show that trading strategies yield different results. It is noticeable that insider can easily get more profit in short time due to prior information.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Trading Behaviours Analysis in an Artificial Stock Market
    AU  - Pan Fuchen
    AU  - Li Lin
    Y1  - 2018/05/23
    PY  - 2018
    N1  - https://doi.org/10.11648/j.jfa.20180602.13
    DO  - 10.11648/j.jfa.20180602.13
    T2  - Journal of Finance and Accounting
    JF  - Journal of Finance and Accounting
    JO  - Journal of Finance and Accounting
    SP  - 69
    EP  - 75
    PB  - Science Publishing Group
    SN  - 2330-7323
    UR  - https://doi.org/10.11648/j.jfa.20180602.13
    AB  - In this paper, we study trading behavior of five different populations with different trading strategies in the framework of an artificial stock market. Insiders who know accuracy time and quantity of inflow cash enter into market and trade with others, which increase difficulty to get more profit for non-insiders. A new clearing mechanism that matches price in order is mentioned. Simulation results show that trading strategies yield different results. It is noticeable that insider can easily get more profit in short time due to prior information.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • College of Science, Dalian Ocean University, Dalian, China; College of Basic Education, Dalian University of Finance and Economics, Dalian, China

  • Department of Technology, Dalian Radio and TV University, Dalian, China

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