Abstract
In this Study, we design a multi agent system within various agents such as enterprise agents, investor agents, and customer agents in our model. Enterprise agents using stock as collateral for loans from banks, they use these resources to execute business activities such as purchase and production, and sell products to consumers to gain profit, part of profit will become dividends to investors.
We design a simple model of enterprises’ financial statements. Not only technical analysis but also fundamental analysis will be implemented as measures of investments in our model. We will clear up influence of trading strategies of investor agents in the artificial market to business managements in our agent based model.
As the results, measures of investments of investors in a stock market influence on business activities in our rational assumptions. Totally, the environments exert healthy influence on business activities are trend strategy dominating markets and random strategy dominating markets. The key point is a stable stock price or a good predictability of stock price.
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References
Arthur W, Holland J et al (1996) Asset pricing under endogenous expectations in an artificial stock market. In: Arthur WB et al (eds) The economy as an evolving complex systems II. Addison-Welsley Publishing, Reading, pp 15–44
Axelrod R (1997) The complexity of cooperation. Princeton University Press, Princeton
Chen S-H, Yeh C-H (1996) Genetic programming and the efficient market hypothesis. In: Koza JR, Goldberg DE, Fogel DB (eds) Genetic programming: proceedings of the 1st annual conference. The MIT Press, Cambridge, pp 45–53
Deguchi H (2000) Economics as complex system, towards economics of autonomous agents group science. JUSE Press, Ltd., Tokyo
Lee H (2008) Relationship between measure of investors and continuous growth of company limited – a simulation analysis by virtual market. In: Proceedings of the evolutionary economics, vol 12 (in Japanese), Kagoshima
Lee H (2010) Scenario based business game for enterprise strategy learning. In: Proceedings of the Japan association of simulation and gaming national conference autumn (in Japanese), Chiba
Lee H, Deguchi H (2005) The agent-based simulation and gaming simulation of firm’s strategy in high-tech industry. J Jpn Assoc Simul Gaming 15(1):1–12 (in Japanese)
Lee H, Deguchi H (2006) The gaming of firm strategy in high-tech industry: human agents and artificial intelligence agents intermingled in a simulation model. In: Agent-based modeling meets gaming simulation. Springer, New York, pp 31–38
Acknowledgment
This work was supported by JSPS Grant-in-Aid for Young Scientists (B) Grant Number 23730390.
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Lee, H. (2015). Does Stock Market Contribute to the Growth of Company? An Agent-Based Simulation of Industrial Model in Which Stock Markets and Product Markets Exist. In: Nakai, Y., Koyama, Y., Terano, T. (eds) Agent-Based Approaches in Economic and Social Complex Systems VIII. Agent-Based Social Systems, vol 13. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55236-9_11
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DOI: https://doi.org/10.1007/978-4-431-55236-9_11
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-55235-2
Online ISBN: 978-4-431-55236-9
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