Abstract
In recent years, economics and finance see the shift of paradigm from representative agent models to heterogeneous agent models [1, 2]. More and more economists and physicists made efforts in research on heterogeneous agent models for financial markets. Minority game (MG) proposed by D. Challet, and Y. C. Zhang [3] is an example among such efforts. Challet and Zhang’s MG model, together with the original bar model of Arthur, attracts a lot of following studies [4–6]. Given MG’s richness and yet underlying simplicity, MG has also received much attention as a financial market model [4]. MG comprises an odd number of agents choosing repeatedly between the options of buying (1) and selling (0) a quantity of a risky asset. The agents continually try to make the minority decision, i.e. buy assets when the majority of other agents are selling, and sell when the majority of other agents are buying. Neil F. Johnson [4, 5] and coworkers extended MG by allowing a variable number of active traders at each timestep— they called their modified game as the Grand Canonical Minority Game (GCMG). GCMG, and to a lesser extent the basic MG itself, can reproduce the stylized facts of financial markets, such as volatility clustering and fat-tail distributions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Levy M, Levy H, Solomon S (1994) Economics Letters 45: 103–111
Levy M, Levy H, Solomon S (2000) Microscopic Simulation of Financial Markets. Academic Press, New York
Challet D, Zhang Y C (1997) Phyisca A 246: 407
Johnson N F, Jefferies P, Hui P M (2003), Financial Market Complexity. Oxford University Press, Oxford
Jefferies P, Johnson N F (2001) Oxford Center for Computational Finance working paper: OCCF/010702
Coolen A C C (2005) The Mathematical Theory of Minority Games. Oxford University Press, Oxford
Andersen J V, Sornette D (2003) Eur. Phys. J. B 31: 141–145
Lux T (1995) Economic Journal 105(431): 881–896
Lux T, Marchesi M (1999) Nature 397(6719): 498–500
Challet D (2005) arXiv: physics/0502140 v1
Slanina F, Zhang Y-C (2001) Physica A 289: 290
Yoon S M, Kim K (2005) arXiv: physics/0503016 v1
Giardina I, Bouchaud J P (2003) Eur. Phys. J. B 31: 421
Marsili M (2001) Physica A 299: 93
Martino A D, Giardina I, Mosetti G (2003) J. Phys. A 36: 8935
Tedeschi A, Martino A D, Giardina I(2005) arXiv: cond-mat/0503762
Martino A D, Giardina1 I, Marsili M, Tedeschi A (2004) arXiv: cond-mat/0403649
Zhong L X, Zheng D F, Zheng B, Hui P M (2004) arXiv: cond-mat/0412524
Shleifer A (2000) Inefficient Markets: an Introduction to Behavioral Financial. Oxford University Press, Oxford
Savit R, Koelle K, Treynor W, Gonzalez R (2004) In: Tumer K, Wolpert D (eds) Collectives and the Desing of Complex System. Springer-Verlag, New York, P199–212
Bouchaud J P, Cont R (1998) Eur. Phys. J. B 6: 543
Farmer J D (2002) Industrial and Corporate Change 11: 895–953
Kephart J O, Hogg T, Huberman B A (1989) Physical Review A 40(1): 404–421
Yang C (2004) Thesis of Beijing University of Aeronautics and Astronautics, Beijing
Hart M L, Johnson N F(2002) Physica A 311: 275–290
Chalet D (2004) arXiv: cond-mat/0407595.
Gou C (2005) arXiv: physics/0504001 v3, accepted by Chinese Physics
Gou C (2005) www.cfrn.com.cn: paperID=1548, submitted to JASSS
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Italia
About this paper
Cite this paper
Gou, C. (2006). Agents Play Mix-game. In: Chatterjee, A., Chakrabarti, B.K. (eds) Econophysics of Stock and other Markets. New Economic Windows. Springer, Milano. https://doi.org/10.1007/978-88-470-0502-0_12
Download citation
DOI: https://doi.org/10.1007/978-88-470-0502-0_12
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-0501-3
Online ISBN: 978-88-470-0502-0
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)