Trading Behaviours Analysis in an Artificial Stock Market

Pan Fuchen; Li Lin

doi:doi:10.11648/j.jfa.20180602.13

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Trading Behaviours Analysis in an Artificial Stock Market

Pan Fuchen, Li Lin

Published in Journal of Finance and Accounting (Volume 6, Issue 2)

Received: 26 April 2018 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), 2018. Published by Science Publishing Group

Keywords

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

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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

Pan Fuchen

College of Science, Dalian Ocean University, Dalian, China
Li Lin

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

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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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download