Mean-field approximation for a limit order driven market model
- 30 October 2001
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review E
- Vol. 64 (5) , 056136
- https://doi.org/10.1103/physreve.64.056136
Abstract
A mean-field variant of the model of limit order driven market introduced recently by Maslov is formulated and solved. The agents do not have any strategies and the memory of the system is kept within the order book. We show that the evolution of the order book is governed by a matrix multiplicative process. The resulting stationary distribution of step-to-step price changes is calculated. It exhibits a power-law tail with exponent 2. We obtain also the price autocorrelation function, which agrees qualitatively with the experimentally observed negative autocorrelation for short times.Keywords
All Related Versions
This publication has 37 references indexed in Scilit:
- Scaling of the distribution of price fluctuations of individual companiesPhysical Review E, 1999
- Introduction to EconophysicsPublished by Cambridge University Press (CUP) ,1999
- Scaling of the distribution of fluctuations of financial market indicesPhysical Review E, 1999
- Renormalization and fixed points in finance, since 1962Physica A: Statistical Mechanics and its Applications, 1999
- Multi-affine analysis of typical currency exchange ratesZeitschrift für Physik B Condensed Matter, 1998
- Inverse cubic law for the distribution of stock price variationsZeitschrift für Physik B Condensed Matter, 1998
- Scaling in currency exchangePhysica A: Statistical Mechanics and its Applications, 1997
- Scaling behaviour in the dynamics of an economic indexNature, 1995
- A microscopic model of the stock marketEconomics Letters, 1994
- Lévy walks and enhanced diffusion in Milan stock exchangePhysica A: Statistical Mechanics and its Applications, 1991