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F1_ Crowd-Based Dynamics (CBD) in Financial Systems

Author

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  • Wilson John Sterking Lauret

    (Chercheur indépendant)

Abstract

This publication develops the full structural deployment of the CBD-Finance framework through the extended formulation: P(t) = Aψ(S, R, V, D[D_cond, D_act], C, T, M, I) × [O(t) · D(t)] × F(t) Within this formulation, P(t) represents the admissible structural state of a financial collective system at time t. The core Aψ formalizes the internal psychodynamic architecture of markets, integrating attraction and repulsion thresholds, emotional intensity, convergence processes, mimetic memory, divergence accumulation, informational density, and temporal rhythms. The module [O(t) · D(t)] captures the structural conjunction between contextual imbalances and windows of systemic sensitivity, while F(t) represents external temporal and institutional constraints that modulate, but do not determine, internal dynamics. Document F provides a systematic and detailed articulation of this architecture across four complementary structural pillars. F1 — Psychodynamic Architecture of Financial RegimesThis section formalizes financial markets as adaptive collective systems governed by endogenous accumulation processes. It clarifies the structural distinction between endogenous dynamics and exogenous modulation and defines how convergence, memory, and informational density progressively shape regime stability. F2 — Structural Laws and Limits of GovernabilityThis part articulates the foundational CBD laws in financial contexts, including mimetic saturation, informational tipping, conditional reversibility, temporal governability, and the cognitive cost of governance. It demonstrates how apparent stability may coexist with progressive loss of structural elasticity and declining institutional absorption capacity. F3 — Conditional and Active Divergence Regimes (Dc/Dr H/L)This section refines the typology of divergence by distinguishing conditional divergence (latent accumulation) from active divergence (structural activation), and by differentiating high and low phases within each regime. It formalizes bifurcation thresholds and explains how crises emerge as nonlinear transitions from accumulated internal constraints rather than from isolated external shocks. F4 — Temporal Governability and Systemic Reconfiguration The final section extends the analysis to temporal desynchronization, cognitive saturation, institutional limits, and endogenous reconfiguration dynamics. It demonstrates that loss of governability results from structural misalignment between internal transformation speed and adaptive capacity, leading to systemic reorganization once thresholds are exceeded. Taken together, Document F provides a comprehensive structural cartography of financial dynamics, tracing the full trajectory from accumulation and mimetic reinforcement to saturation, activation, and reconfiguration. It does not propose predictive indicators, trading signals, or normative prescriptions. Instead, it establishes a coherent and non-operational topology of regime transitions, clarifying the endogenous conditions under which financial systems move from apparent stability to structural fragility and eventual transformation. This publication consolidates the CBD-Finance architecture as a closed theoretical framework dedicated to the structural intelligibility of collective financial systems and their limits of governability.

Suggested Citation

  • Wilson John Sterking Lauret, 2026. "F1_ Crowd-Based Dynamics (CBD) in Financial Systems," Post-Print hal-05533867, HAL.
  • Handle: RePEc:hal:journl:hal-05533867
    DOI: 10.5281/zenodo.18843547
    as

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