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Time Series Properties of an Artificial Stock Market


Blake LeBaron


Brandeis University - International Business School

W. Brian Arthur


Santa Fe Institute

Richard G. Palmer


Duke University


Journal of Economic Dynamics and Control, Vol. 23, October 1999

Abstract:     
A market of artificially intelligent traders is constructed to buy and sell a risky asset along with a risk free bond. Prices of the risky asset are determined endogenously from the interactions of the strategies which make trades and gather data. Each trader tries to learn about the world around it while enhancing its trading strategies. The primary purpose of this paper is to demonstrate that such a market replicates some of the basic empirical features of many asset markets including the persistence of volatility and trading volume, weak trends in prices, and leptokurtosis in returns. Also, for certain parameter values agents converge to a well defined rational expectations equilibrium.

Note: This is a description of the paper and not the actual abstract.

JEL Classification: G12, G14, D83

Accepted Paper Series


Date posted: November 4, 1999  

Suggested Citation

LeBaron, Blake D., Arthur, W. Brian and Palmer, Richard G., Time Series Properties of an Artificial Stock Market. Journal of Economic Dynamics and Control, Vol. 23, October 1999. Available at SSRN: http://ssrn.com/abstract=187151

Contact Information

Blake D. LeBaron (Contact Author)
Brandeis University - International Business School ( email )
Mailstop 32
Waltham, MA 02454-9110
United States
781-736-2258 (Phone)
781-736-2269 (Fax)
W. Brian Arthur
Santa Fe Institute ( email )
1399 Hyde Park Road
1399 Hyde Park Rd.
Santa Fe, NM 87501
United States
Richard G. Palmer
Duke University ( email )
Department of Physics Box 90305
Durham, NC 27708
United States
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