Financial Knudsen number: breakdown of continuous price dynamics and asymmetric buy and sell structures confirmed by high precision order book information
Yoshihiro Yura, Hideki Takayasu, Didier Sornette, Misako, Takayasu

TL;DR
This paper introduces a financial Knudsen number to analyze order book dynamics, revealing conditions where discrete effects dominate and enabling early detection of price direction changes during market stress.
Contribution
It generalizes the order book dynamics model by incorporating asymmetric Knudsen numbers, providing a new tool to identify regimes where continuous models fail and discrete effects are significant.
Findings
High Knudsen numbers occur during market stress and crashes.
Asymmetric particle depletion rates correlate with violent price changes.
The indicator predicts price direction earlier than volatility measures.
Abstract
We generalise the description of the dynamics of the order book of financial markets in terms of a Brownian particle embedded in a fluid of incoming, exiting and annihilating particles by presenting a model of the velocity on each side (buy and sell) independently. The improved model builds on the time-averaged number of particles in the inner layer and its change per unit time, where the inner layer is revealed by the correlations between price velocity and change in the number of particles (limit orders). This allows us to introduce the Knudsen number of the financial Brownian particle motion and its asymmetric version (on the buy and sell sides). Not being considered previously, the asymmetric Knudsen numbers are crucial in finance in order to detect asymmetric price changes. The Knudsen numbers allows us to characterise the conditions for the market dynamics to be correctly…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Stochastic processes and financial applications
