
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.
Crowd-Based Dynamics, Financial Systems, Collective Dynamics, Mimetic Saturation, Market Regimes, Governability, Structural Diagnostics, Sterking Limit, Non-Predictive Framework, Institutional Audit
Crowd-Based Dynamics, Financial Systems, Collective Dynamics, Mimetic Saturation, Market Regimes, Governability, Structural Diagnostics, Sterking Limit, Non-Predictive Framework, Institutional Audit
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
