Three-state herding model of the financial markets
arXiv:1210.1838 · doi:10.1209/0295-5075/101/28001
Abstract
We propose a Markov jump process with the three-state herding interaction. We see our approach as an agent-based model for the financial markets. Under certain assumptions this agent-based model can be related to the stochastic description exhibiting sophisticated statistical features. Along with power-law probability density function of the absolute returns we are able to reproduce the fractured power spectral density, which is observed in the high-frequency financial market data. Given example of consistent agent-based and stochastic modeling will provide background for the further developments in the research of complex social systems.
11 pages, 3 figures
References in corpus (10)
- Cross-correlations between volume change and price change
- Coevolutionary Dynamics: From Finite to Infinite Populations
- Economics need a scientific revolution
- Coevolutionary dynamics in large, but finite populations
- Stochastic differential equations for evolutionary dynamics with demographic noise and mutations
- Critical Overview of Agent-Based Models for Economics
- A long-range memory stochastic model of the return in financial markets
- Mean-field-like behavior of the generalized voter-model-class kinetic Ising model
- Trading activity as driven Poisson process: comparison with empirical data
- Fifteen years of econophysics: worries, hopes and prospects