Multifractal analysis of financial markets: A review

ZQ Jiang, WJ Xie, WX Zhou… - Reports on Progress in …, 2019 - iopscience.iop.org
Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

Physical approach to complex systems

J Kwapień, S Drożdż - Physics Reports, 2012 - Elsevier
Typically, complex systems are natural or social systems which consist of a large number of
nonlinearly interacting elements. These systems are open, they interchange information or …

Cross-correlations between volume change and price change

B Podobnik, D Horvatic… - Proceedings of the …, 2009 - National Acad Sciences
In finance, one usually deals not with prices but with growth rates R, defined as the
difference in logarithm between two consecutive prices. Here we consider not the trading …

How markets slowly digest changes in supply and demand

JP Bouchaud, JD Farmer, F Lillo - Handbook of financial markets: dynamics …, 2009 - Elsevier
Publisher Summary This chapter discusses the new approach to the classic problem of
tâtonnement—the dynamic process through which markets seek to reach equilibrium. The …

Quantifying reflexivity in financial markets: Toward a prediction of flash crashes

V Filimonov, D Sornette - Physical Review E—Statistical, Nonlinear, and Soft …, 2012 - APS
We introduce a measure of activity of financial markets that provides a direct access to their
level of endogeneity. This measure quantifies how much of price changes is due to …

Fluctuation scaling in complex systems: Taylor's law and beyond

Z Eisler, I Bartos, J Kertész - Advances in Physics, 2008 - Taylor & Francis
Complex systems consist of many interacting elements which participate in some dynamical
process. The activity of various elements is often different and the fluctuation in the activity of …

Econophysics and sociophysics: Their milestones & challenges

R Kutner, M Ausloos, D Grech, T Di Matteo… - Physica A: Statistical …, 2019 - Elsevier
In this review article we present some of achievements of econophysics and sociophysics
which appear to us the most significant. We briefly explain what their roles are in building of …

Agent-based models of financial markets

E Samanidou, E Zschischang… - Reports on Progress in …, 2007 - iopscience.iop.org
This review deals with several microscopic ('agent-based') models of financial markets
which have been studied by economists and physicists over the last decade: Kim …

The application of continuous-time random walks in finance and economics

E Scalas - Physica A: Statistical Mechanics and its Applications, 2006 - Elsevier
This paper reviews some applications of continuous time random walks (CTRWs) to Finance
and Economics. It is divided into two parts. The first part deals with the connection between …

Modelling stock markets by multi-agent reinforcement learning

J Lussange, I Lazarevich, S Bourgeois-Gironde… - Computational …, 2021 - Springer
Quantitative finance has had a long tradition of a bottom-up approach to complex systems
inference via multi-agent systems (MAS). These statistical tools are based on modelling …