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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Collective Dynamics and Financial Systems

Authors: LAURET, Wilson John Sterking;

Collective Dynamics and Financial Systems

Abstract

This corpus proposes a complete and closed framework for analyzing financial systems based on the Crowd-Based Dynamics (CBD) model.Document I establishes the structural laws, fundamental regimes, and conditions of mimetic saturation and loss of governability.Document II translates these laws into non-predictive operational diagnostics, enabling the mapping of market regimes and structural transitions.Document III analyzes financial governability, its temporal limits, and the irreversibility of interventions beyond structural thresholds.Document IV provides an institutional implementation guide, transforming the CBD framework into a governability audit tool without normative or algorithmic drift.Taken together, the corpus offers a structural, non-causal, and non-predictive reading of financial markets.It is intended for scientific, institutional, and regulatory analysis of complex financial dynamics.

Keywords

Crowd-Based Dynamics, Financial Systems, Collective Dynamics, Mimetic Saturation, Market Regimes, Governability, Structural Diagnostics, Sterking Limit, Non-Predictive Framework, Institutional Audit

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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