Time Series Properties of an Artificial Stock Market
Abstract
This paper presents results from an experiemtal computer simulated stock market. In this market artificial intelligence algorithms take on the role of traders. They make predictions about the future, and buy and sell stock an indicated by their expectations of future risk and return.Download Info
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Bibliographic Info
Paper provided by Wisconsin Madison - Social Systems in its series Working papers with number 9725.Length: 32 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:att:wimass:9725
Contact details of provider:
Postal: UNIVERSITY OF WISCONSIN MADISON, SOCIAL SYSTEMS RESEARCH INSTITUTE(S.S.R.I.), MADISON WISCONSIN 53706 U.S.A.
Related research
Keywords: FINANCIAL MARKET ; TIME SERIES;Other versions of this item:
- LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
References
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