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Agent-based Model Construction In Financial Economic System

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  • Hokky Situngkir
  • Yohanes Surya

Abstract

The paper gives picture of enrichment to economic and financial system analysis using agent-based models as a form of advanced study for financial economic data post-statistical-data analysis and micro-simulation analysis. Theoretical exploration is carried out by using comparisons of some usual financial economy system models frequently and popularly used in econophysics and computational finance. Primitive model, which consists of agent microsimulation with fundamentalist strategy, chartist, and noise, was established with an expectation of adjusting micro-simulation analysis upon stock market in Indonesia. The result of simulation showing how financial economy data resulted analysis using statistical tools such as data distribution and central limit theorem, and several other macro-financial analysis tools previously shown (Situngkir & Surya, 2003b). This paper is ended with several further possible advancements from the model built.

Suggested Citation

  • Hokky Situngkir & Yohanes Surya, 2004. "Agent-based Model Construction In Financial Economic System," Papers nlin/0403041, arXiv.org.
    • Handle: RePEc:arx:papers:nlin/0403041
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    References listed on IDEAS

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    1. Hiroshi Takahashi & Takao Terano, 2003. "Agent-Based Approach to Investors? Behavior and Asset Price Fluctuation in Financial Markets," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(3), pages 1-3.
    2. Bak, P. & Paczuski, M. & Shubik, M., 1997. "Price variations in a stock market with many agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 430-453.
    3. Georg Zimmermann & Ralph Neuneier & Ralph Grothmann, 2001. "Multi-Agent Market Modeling Of Foreign Exchange Rates," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 29-43.
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    Cited by:

    1. Hokky Situngkir & Yohanes Surya, 2005. "What can we see from Investment Simulation based on Generalized (m,2)-Zipf law?," Papers physics/0504210, arXiv.org, revised May 2005.
    2. Fatih Cavdur & Soundar Kumara, 2014. "Network mining: Applications to business data," Information Systems Frontiers, Springer, vol. 16(3), pages 473-490, July.

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