Abstract
In the past years several Agents Based Models (ABMs) have been introduced to reproduce and interpret the main features of financial markets [7,14]. The ABMs go beyond simple differential equations with the aim of being able to address the complex phenomenology of a dynamics. This phenomenology is usually interpreted in terms of the Stylized Facts (SF) which correspond to complex correlations beyond the simple Random Walk (RW). The ABMs give the possibility to describe the intrinsic heterogeneity of the market which seems to be responsible for many of these SF [6, 12]. The main SF are the fat tails for the fluctuations of price-returns, the arbitrage condition, which implies no correlations in the price returns, and the volatility clustering which implies long memory correlations for volatility.
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
Alfi, V., Coccetti, F., Marotta, M., Pietronero, L., Takayasu, M.: Hidden forces and fluctuations from moving averages: A test study. Physica A 370, 30–37 (2006)
Alfi, V., Cristelli, M., Pietronero, L., Zaccaria, A.: Mechanisms of self-organization and finite size effects in a minimal agent based model. J. Stat. Mech. p. P03016 (2009)
Alfi, V., Cristelli, M., Pietronero, L., Zaccaria, A.: Minimal agent based model for financial markets I: origin and self-organization of stylized facts. Eur. Phys. J. B 67, 385–397 (2009)
Alfi, V., Cristelli, M., Pietronero, L., Zaccaria, A.: Minimal agent based model for financial markets II: statistical properties of the linear and multiplicative dynamics. Eur. Phys. J. B 67, 399–417(2009)
Alfi, V., Pietronero, L., Zaccaria, A.: Self-organization for the stylized facts and finite-size effects in a financial-market model. EPL 86(5), 58,003 (2009). DOI 10.1209/0295-5075/86/58003. URL http://dx.doi.org/10.1209/0295-5075/86/58003
Bouchaud, J.P., Potters, M.: Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management. Cambridge University Press (2003)
Challet, D., Marsili, M., Zhang, Y.C.: Minority Game: interacting agents in financial markets. Oxford University Press (2005)
Kirman, A.: Ants, rationality and recruitment. Quarterly Journal of Economics 180, 137–156 (1993)
Lillo, F., Moro, E., Vaglica, G., Mantegna, R.N.: Specialization and herding behavior of trading firms in a financial market. New Journal of Physics 10(4), 043,019 (2008). URL http://stacks.iop.org/1367-2630/10/i=4/a=043019
Lux, T.: Turbulence in financial markets: the surprising explanatory power of simple cascade models. Quantitative Finance 1, 632–640 (2001)
Lux, T., Marchesi, M.: Scaling and criticality in a stochastic multi-agent model of a financial market. Nature 397, 498–500 (1999)
Mantegna, R.N., Stanley, H.: An Introduction to Econophysics: Correlation and Complexity in Finance. Cambridge University Press, New York, NY, USA (2000)
Mizuno, T., Takayasu, H., Takayasu, M.: Analysis of price diffusion in financial markets using PUCK model. Physica A Statistical Mechanics and its Applications 382, 187–192 (2007). DOI 10.1016/j.physa.2007.02.049
Samanidou, E., Zschischang, E., Stauffer, D., Lux, T.: Microscopic models of financial markets. Tech. rep. (2006)
Takayasu, M., Mizuno, T., Takayasu, H.: Potential force observed in market dynamics. Physica A Statistical Mechanics and its Applications 370, 91–97 (2006). DOI 10.1016/j.physa.2006.04.041
Alfi V., De Martino, A.T., Pietronero, L.: Detecting the traders’ strategies in minority-majority games and real stock-prices. Physica A 382, 1 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Italia
About this chapter
Cite this chapter
Alfi, V., Cristelli, M., Pietronero, L., Zaccaria, A. (2011). Reconstructing Agents’ Strategies from Price Behavior. In: Abergel, F., Chakrabarti, B.K., Chakraborti, A., Mitra, M. (eds) Econophysics of Order-driven Markets. New Economic Windows. Springer, Milano. https://doi.org/10.1007/978-88-470-1766-5_8
Download citation
DOI: https://doi.org/10.1007/978-88-470-1766-5_8
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-1765-8
Online ISBN: 978-88-470-1766-5
eBook Packages: Business and EconomicsEconomics and Finance (R0)