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Abstract

Using the Minority Game model we study a broad spectrum of problems of market mechanism. We study the role of different types of agents: producers, speculators as well as noise traders. The central issue here is the information flow : producers feed in the information whereas speculators make it away. How well each agent fares in the common game depends on the market conditions, as well as their sophistication. Sometimes there is much to gain with little effort, sometimes great effort virtually brings no more incremental gain. Market impact is shown to play also an important role, a strategy should be judged when it is actually used in play for its quality. Though the Minority Game is an extremely simplified market model, it allows to ask, analyze and answer many questions which arise in real markets.

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File URL: http://arxiv.org/pdf/cond-mat/9909265
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Paper provided by arXiv.org in its series Papers with number cond-mat/9909265.

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Date of creation: Sep 1999
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Handle: RePEc:arx:papers:cond-mat/9909265

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Cited by:

1. Tiago Colliri & Fernando F. Ferreira, 2012. "Stock prices assessment: proposal of a new index based on volume weighted historical prices through the use of computer modeling," Papers 1206.5224, arXiv.org, revised Sep 2012.
2. Matteo Marsili & Damien Challet, 2001. "Trading Behavior And Excess Volatility In Toy Markets," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 3-17.
   
   • M. Marsili & D. Challet, 2000. "Trading behavior and excess volatility in toy markets," Papers cond-mat/0004376, arXiv.org, revised Jun 2000.
3. Giorgio Fagiolo & Marco Valente, 2004. "Minority Games, Local Interactions, and Endogenous Networks," LEM Papers Series 2004/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
   
   • Giorgio Fagiolo & Marco Valente, 2005. "Minority Games, Local Interactions, and Endogenous Networks," Computational Economics, Society for Computational Economics, vol. 25(1), pages 41-57, February.
   • Valente M. & Fagiolo G., 2004. "Minority Games, Local Interactions, and Endogenous Networks," Computing in Economics and Finance 2004 110, Society for Computational Economics.
4. A. Corcos & J-P Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2002. "Imitation and contrarian behaviour: hyperbolic bubbles, crashes and chaos," Quantitative Finance, Taylor and Francis Journals, vol. 2(4), pages 264-281.
   
   • A. Corcos & J. -P. Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2001. "Imitation and contrarian behavior: hyperbolic bubbles, crashes and chaos," Papers cond-mat/0109410, arXiv.org.
5. Damien Challet, 2005. "Inter-pattern speculation: beyond minority, majority and $-games," Finance 0503006, EconWPA.
   
   • Challet, Damien, 2008. "Inter-pattern speculation: Beyond minority, majority and $-games," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 85-100, January.
6. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
7. Andreas Krause, 2009. "Evaluating the performance of adapting trading strategies with different memory lengths," Papers 0901.0447, arXiv.org.
8. R. D. Groot, 2004. "Levy distribution and long correlation times in supermarket sales," Papers cond-mat/0412163, arXiv.org.
9. Paolo Laureti & Peter Ruch & Joseph Wakeling & Yi-Cheng Zhang, 2004. "The Interactive Minority Game: a Web based investigation of human market interactions," Experimental 0402004, EconWPA.

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