Dynamical analogy between economical crisis and earthquake dynamics within the nonextensive statistical mechanics framework
Stelios M. Potirakis, Pavlos I. Zitis, and Konstantinos Eftaxias

TL;DR
This paper demonstrates a dynamical analogy between economic crises and earthquake dynamics using nonextensive statistical mechanics, showing similar scale-free statistical behaviors in both phenomena.
Contribution
It applies nonextensive statistical physics to compare earthquake and economic data, revealing similar scale-free distributions and supporting a unified dynamical framework.
Findings
Both earthquake and economic event populations follow Gutenberg-Richter law.
Nonextensive models fit the data for both earthquakes and financial crashes.
Similar parameter values suggest underlying universal dynamics.
Abstract
The field of study of complex systems considers that the dynamics of complex systems are founded on universal principles that may be used to describe a great variety of scientific and technological approaches of different types of natural, artificial, and social systems. Several authors have suggested that earthquake dynamics and the dynamics of economic (financial) systems can be analyzed within similar mathematical frameworks. We apply concepts of the nonextensive statistical physics, on time-series data of observable manifestations of the underlying complex processes ending up to these different extreme events, in order to support the suggestion that a dynamical analogy exists between a financial crisis (in the form of share or index price collapse) and a single earthquake. We also investigate the existence of such an analogy by means of scale-free statistics (the Gutenberg-Richter…
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