MULTI-AGENT MARKET MODELING OF FOREIGN EXCHANGE RATES

Georg Zimmermann (), Ralph Neuneier and Ralph Grothmann
Additional contact information
Georg Zimmermann: SIEMENS AG, Corporate Technology, Munich, Germany
Ralph Neuneier: SIEMENS AG, Corporate Technology, Munich, Germany
Ralph Grothmann: Department of Finance, University of Bremen, Bremen, Germany

Advances in Complex Systems (ACS), 2001, vol. 04, issue 01, 29-43

Abstract: A market mechanism is basically driven by a superposition of decisions of many agents optimizing their profit. The macroeconomic price dynamic is a consequence of the cumulated excess demand/supply created on this micro level. The behavior analysis of a small number of agents is well understood through the game theory. In case of a large number of agents one may use the limiting case that an individual agent does not have an influence on the market, which allows the aggregation of agents by statistic methods. In contrast to this restriction, we can omit the assumption of an atomic market structure, if we model the market through a multi-agent approach.The contribution of the mathematical theory of neural networks to the market price formation is mostly seen on the econometric side: neural networks allow the fitting of high dimensional nonlinear dynamic models. Furthermore, in our opinion, there is a close relationship between economics and the modeling ability of neural networks because a neuron can be interpreted as a simple model of decision making. With this in mind, a neural network models the interaction of many decisions and, hence, can be interpreted as the price formation mechanism of a market.

Keywords: Neural networks; multi-agent; forecasting; exchange rate markets (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S021952590100005X
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:04:y:2001:i:01:n:s021952590100005x

Ordering information: This journal article can be ordered from

DOI: 10.1142/S021952590100005X

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().