Journal of Finance and Accounting
Volume 6, Issue 2, March 2018, Pages: 69-75
Received: Apr. 26, 2018;
Published: May 23, 2018
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Pan Fuchen, College of Science, Dalian Ocean University, Dalian, China; College of Basic Education, Dalian University of Finance and Economics, Dalian, China
Li Lin, Department of Technology, Dalian Radio and TV University, Dalian, China
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.
Trading Behaviours Analysis in an Artificial Stock Market, Journal of Finance and Accounting.
Vol. 6, No. 2,
2018, pp. 69-75.
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