Predicting Technical Investors' Decisions in a Financial Market through Agent-Based Simulation
Yoshiki Kano 0, Takao Terano
0Tokyo Institute of Technology
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.328How to use a DOI?
- Artificial market, Agent based simulation, Behavioral finance,
- We are developing an artificial stock market model with investor agents in order to analyze characteristics of a market price. In this paper, we analyze the effects of agent’s reaction rate to technical indicators in a financial market. Intensive experiments have suggested that trend follow investor tends to change his reaction rate frequently to increase his wealth. Moreover, we could get positive return using proper technical indicators in a given artificial stock price path. Based on these results, we propose a simple price estimation method in a real financial market.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yoshiki Kano AU - Takao Terano PY - 2006/10 DA - 2006/10 TI - Predicting Technical Investors' Decisions in a Financial Market through Agent-Based Simulation BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.328 DO - https://doi.org/10.2991/jcis.2006.328 ID - Kano2006/10 ER -