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  • Featured in Physics
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Derivation of the Boltzmann Equation for Financial Brownian Motion: Direct Observation of the Collective Motion of High-Frequency Traders

Kiyoshi Kanazawa1,2,*, Takumi Sueshige2, Hideki Takayasu1,3, and Misako Takayasu1,2

  • 1Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama 226-8502, Japan
  • 2Department of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama 226-8502, Japan
  • 3Sony Computer Science Laboratories, 3-14-13 Higashi-Gotanda, Shinagawa-ku, Tokyo 141-0022, Japan

  • *Corresponding author. kanazawa.k.ae@m.titech.ac.jp

Phys. Rev. Lett. 120, 138301 – Published 27 March, 2018

DOI: https://doi.org/10.1103/PhysRevLett.120.138301

Abstract

A microscopic model is established for financial Brownian motion from the direct observation of the dynamics of high-frequency traders (HFTs) in a foreign exchange market. Furthermore, a theoretical framework parallel to molecular kinetic theory is developed for the systematic description of the financial market from microscopic dynamics of HFTs. We report first on a microscopic empirical law of traders’ trend-following behavior by tracking the trajectories of all individuals, which quantifies the collective motion of HFTs but has not been captured in conventional order-book models. We next introduce the corresponding microscopic model of HFTs and present its theoretical solution paralleling molecular kinetic theory: Boltzmann-like and Langevin-like equations are derived from the microscopic dynamics via the Bogoliubov-Born-Green-Kirkwood-Yvon hierarchy. Our model is the first microscopic model that has been directly validated through data analysis of the microscopic dynamics, exhibiting quantitative agreements with mesoscopic and macroscopic empirical results.

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Physics Subject Headings (PhySH)

Synopsis

Financial Brownian Motion

Published 27 March, 2018

Using data on the activity of individual financial traders, researchers have devised a microscopic financial model that can explain macroscopic market trends.

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