Coherence and incoherence collective behavior in financial market
Shangmei Zhao, Qiuchao Xie, Qing Lu, Xin Jiang, Wei Chen

TL;DR
This paper models financial market dynamics using coupled phase oscillators, revealing coexistence of coherent and incoherent stock groups that fluctuate with economic conditions, offering insights into market structure and investment strategies.
Contribution
It introduces a novel coupled oscillator model to analyze stock behavior, identifying coherence-incoherence patterns and a characteristic matrix for market structure analysis.
Findings
Coherent and incoherent stock groups coexist and fluctuate with economic shocks.
The coherent characteristic matrix reveals stock correlation structures during economic periods.
Results align with GICS classification and identify features of emerging industries.
Abstract
Financial markets have been extensively studied as highly complex evolving systems. In this paper, we quantify financial price fluctuations through a coupled dynamical system composed of phase oscillators. We find a Financial Coherence and Incoherence (FCI) coexistence collective behavior emerges as the system evolves into the stable state, in which the stocks split into two groups: one is represented by coherent, phase-locked oscillators, the other is composed of incoherent, drifting oscillators. It is demonstrated that the size of the coherent stock groups fluctuates during the economic periods according to real-world financial instabilities or shocks. Further, we introduce the coherent characteristic matrix to characterize the involvement dynamics of stocks in the coherent groups. Clustering results on the matrix provides a novel manifestation of the correlations among stocks in the…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Nonlinear Dynamics and Pattern Formation · Ecosystem dynamics and resilience
