On Simple Mean-Field Stochastic Model of Market Dynamics
Guennadi Saiko

TL;DR
This paper introduces a simple stochastic market model dividing participants into trend-followers and fundamentalists, capturing multiscale behavior, volatility clustering, and weak daily correlations.
Contribution
It presents a novel stochastic equation of market dynamics incorporating two time scales and three stochastic processes, reflecting real market features.
Findings
Model reproduces multiscale market behavior
Captures volatility clustering phenomena
Explains weak correlations between daily price changes
Abstract
We propose a simple stochastic model of market behavior. Dividing market participants into two groups: trend-followers and fundamentalists, we derive the general form of a stochastic equation of market dynamics. The model has two characteristic time scales: the time of changes of market environment and the characteristic time of news flow. Price behavior in the most general case is driven by three stochastic processes, attributed to trend-followers, fundamentalists, and news flow, respectively. The model demonstrates the wide range of peculiarities which are typical in real markets: multiscale behavior, clustered volatility, weak correlations between the price changes on successive trading days, etc.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Stochastic processes and financial applications
