Agent-based Model Construction In Financial Economic System
Abstract
The paper gives picture of enrichment to economic and financial system analysis using agentbased 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.Download Info
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Paper provided by Bandung Fe Institute in its series Departmental Working Papers with number wpa2004.Length:
Date of creation: Jan 2004
Date of revision:
Handle: RePEc:bfe:wpsbfi:wpa2004
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Related research
Keywords: multi-agent; financial analysis; fundamentalist and chartist strategy; Indonesia stock market.;This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-06-02 (All new papers)
- NEP-HPE-2004-06-02 (History & Philosophy of Economics)
- NEP-SEA-2004-06-02 (South East Asia)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- 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.
- Hokky Situngkir & Yohanes Surya, 2005. "What can we see from Investment Simulation based on Generalized (m,2)-Zipf law?," Finance 0504022, EconWPA.
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