Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Other ORP type . 2026
Data sources: Datacite
ZENODO
Other ORP type . 2026
Data sources: Datacite
versions View all 2 versions
addClaim

Diagnostic Frameworks for Detecting Latent Failure, Coherence Drift, and Coordination Fragility in Financial and Public Systems

Authors: Copeland, Christopher W;

Diagnostic Frameworks for Detecting Latent Failure, Coherence Drift, and Coordination Fragility in Financial and Public Systems

Abstract

This record contains a curated set of diagnostic frameworks developed to identify latent structural failure in complex financial, regulatory, and public-policy systems before collapse becomes visible through conventional metrics. Across domains—including banking, financial markets, investment management, real estate and municipal finance, insurance and claims adjudication, and public infrastructure—the documents share a common focus: detecting coherence loss, legitimacy drift, and coordination fragility that remain invisible to standard risk indicators such as capital ratios, stress tests, liquidity volumes, headline performance metrics, or compliance scores. The materials are explicitly diagnostic and pre-prescriptive. They do not recommend policy reforms, trading strategies, governance redesigns, or technical interventions. Instead, they provide structured ways to observe when systems that appear stable are quietly losing the ability to reason coherently about their own condition. Included frameworks and instruments address: Policy observation degradation and legitimacy drift in monetary and regulatory systems Balance sheet coherence and decision integrity under recursive stress Liquidity as a coordination and legitimacy phenomenon rather than a volume metric Detection of false diversification and strategy mimicry in portfolios Collateral coherence failures in commercial real estate and municipal finance under delayed repricing Early-warning scorecards for non-financeability driven by insurance withdrawal, migration, and liquidity loss Diagnostic tools for supervisory review, internal risk committees, and reinsurer assessment A general framework for diagnosing learning failure in public-policy pilots, insurance claims systems, and infrastructure maintenance regimes Several documents include synthetic, anonymized case walkthroughs designed to illustrate failure mechanisms without attributing blame or referencing specific institutions or historical events. All materials are written in regulator-safe, institution-facing language and are intended to complement—rather than replace—existing quantitative models, stress tests, and supervisory tools. The unifying contribution is a shift from asking “Are metrics within bounds?” to asking “Does the system’s decision logic remain coherent as conditions change?” The collection is suitable for use by: Regulators and supervisory authorities Central banks and policy research departments Bank risk committees and stress-test designers Insurers and reinsurers Asset managers, hedge funds, and institutional allocators Municipal finance analysts and bond market participants Public-sector oversight bodies evaluating pilots and infrastructure risk No new data sources are required to apply these diagnostics. The frameworks operate by re-interrogating existing information through a coherence-focused lens. Christopher W Copeland (C077UPTF1L3) Copeland Resonant Harmonic Formalism (Ψ‑formalism) Ψ(x) = ∇ϕ(Σ𝕒ₙ(x, ΔE)) + ℛ(x) ⊕ ΔΣ(𝕒′) Licensed under CRHC v1.0 (no commercial use without permission). Collaboration welcome. Attribution required. Derivatives must match license.

  • BIP!
    Impact byBIP!
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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