Evolving Traders and the Faculty of the Business School: A New Architecture of the Artificial Stock Market
In this paper, we propose a new architecture to study artificial stock markets. This architecture rests on a mechanism called "school" which is a procedure for mapping the phenotype to the genotype or, in plain English, to uncover the secret of success. We propose an agent-based model of school, considering it as an evolving population driven by single-population GP (SGP). The architecture also takes into consideration traders' search behaviour. By simulated annealing, the traders' search densities can be connected to psychological factors such as peer pressure or to economic factors such as the standard of living. This market architecture is then implemented in a standard artificial stock market. Our econometric study of the resultant artificial time series gives evidence that the return series is independently and identically distributed (iid) and hence supports the efficient market hypothesis (EMH). What is interesting, though, is that this iid series is generated by traders who do not believe in the EMH at all. In fact, our study indicates that many of our traders are often able to find useful signals from business school, even though these signals are short-lived.
|Date of creation:||01 Mar 1999|
|Contact details of provider:|| Postal: CEF99, Boston College, Department of Economics, Chestnut Hill MA 02467 USA|
Web page: http://fmwww.bc.edu/CEF99/
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- Bullard, James & Duffy, John, 1999.
"Using Genetic Algorithms to Model the Evolution of Heterogeneous Beliefs,"
Springer;Society for Computational Economics, vol. 13(1), pages 41-60, February.
- James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
- James B. Bullard & John Duffy, 1994. "Using genetic algorithms to model the evolution of heterogeneous beliefs," Working Papers 1994-028, Federal Reserve Bank of St. Louis.
- Bullard, James & Duffy, John, 1998.
"A model of learning and emulation with artificial adaptive agents,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 22(2), pages 179-207, February.
- James B. Bullard & John Duffy, 1994. "A model of learning and emulation with artificial adaptive agents," Working Papers 1994-014, Federal Reserve Bank of St. Louis.
- Arifovic, Jasmina & Bullard, James & Duffy, John, 1997. "The Transition from Stagnation to Growth: An Adaptive Learning Approach," Journal of Economic Growth, Springer, vol. 2(2), pages 185-209, July.
- Arthur, W.B. & Holland, J.H. & LeBaron, B. & Palmer, R. & Tayler, P., 1996.
"Asset Pricing Under Endogenous Expectations in an Artificial Stock Market,"
9625, Wisconsin Madison - Social Systems.
- W. Brian Arthur & John H. Holland & Blake LeBaron & Richard Palmer & Paul Taylor, 1996. "Asset Pricing Under Endogenous Expectation in an Artificial Stock Market," Working Papers 96-12-093, Santa Fe Institute.
- Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
- Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, May.
- Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-541, June.
- Chen, Shu-Heng & Lux, Thomas & Marchesi, Michele, 2001.
"Testing for non-linear structure in an artificial financial market,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 46(3), pages 327-342, November.
- Shu-Heng Chen & Thomas Lux & Michele Marchesi, 1999. "Testing for Non-Linear Structure in an Artificial Financial Market," Discussion Paper Serie B 447, University of Bonn, Germany.
- Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
- Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-96, July.
- Miller, John H., 1996. "The coevolution of automata in the repeated Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 87-112, January.
- D. Heymann, R. P. J. Perazzo, & Andres Schuschny, "undated". "Learning and Contagion Effects in Trasitions Between Regimes: A Schematic Model of Bank Runs," Computing in Economics and Finance 1997 17, Society for Computational Economics.
- James B. Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis.
- Tony Curzon Price, 1997. "Using co-evolutionary programming to simulate strategic behaviour in markets," Journal of Evolutionary Economics, Springer, vol. 7(3), pages 219-254.
- Lux, T. & M. Marchesi, "undated". "Scaling and Criticality in a Stochastic Multi-Agent Model of a Financial Market," Discussion Paper Serie B 438, University of Bonn, Germany, revised Jul 1998.
- Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
- Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
- Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
- Bullard, James & Duffy, John, 1998. "Learning And The Stability Of Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 2(01), pages 22-48, March.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
- Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
- repec:cup:macdyn:v:2:y:1998:i:1:p:22-48 is not listed on IDEAS
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