GRA · Financial Regulation Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Prudential regulation
Prudential regulation sets the financial strength that banks and insurers must hold so they can absorb losses and keep paying depositors and policyholders. Its rules are agreed internationally, in Basel III for banks and the IAIS standards for insurers, and then written into national law. This page explains how gaps open between the standard, the national rule and supervisory practice, how those gaps are measured, and who decides when a requirement is enough.
Prudential regulation in seven parts.
- 01The questionPrudential regulation: how the risk develops
- 02IndicatorsWhat is measured, and how well
- 03SourcesWhere the evidence comes from
- 04DecisionsWho decides, and what the evidence serves
- 05Core questionsWhat experts ask
- 06Mechanisms and driversBuffers against failure
- 07Methods and dataHow the evidence is built, and where it stops
Prudential regulation: how the risk develops.
Banking and insurance prudential frameworks. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Risk weights drift
Capital requirements depend on risk weights. Internal models, portfolio optimisation and stale calibration can make the same exposure attract different capital at different firms, lowering the effective requirement without any rule changing. Output floors and the leverage ratio exist as backstops for this reason.
Activity moves past the perimeter
Tighter requirements raise the cost of regulated intermediation, so lending, maturity transformation and risk transfer migrate to entities outside the perimeter: non-bank lenders, funds, offshore reinsurers. The risk often returns to regulated firms through credit lines, funding links and guarantees.
Implementation diverges
Standards agreed in Basel or by the IAIS are transposed nationally with options, carve-outs, delays and transitional arrangements. Divergence creates arbitrage between jurisdictions and makes headline ratios less comparable across borders than they appear.
Forbearance accumulates
Under pressure, supervisors may delay recognising losses or enforcing remediation. Each delay lowers the cost of continuing the risk, so problems surface later and larger, usually in a stress when the corrective options are fewest.
Supervisory review console.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Supervisory review console
Prudential regulation · Bank supervision · Cycle 1
Firms by risk rating
| Bank B | High | 3 | 2 | Enhanced |
| Bank D | Medium | 2 | 4 | Standard |
| Insurer Alpha | High | 3 | 6 | Enhanced |
| Fintech F1 | Low | 2 | 0 | Light |
Findings
Climate expectations met
share of firms, thematic review
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| RCAP jurisdictional consistency grade | grade from compliant to non-compliant, per component | per assessment cycle | BCBS peer assessment | Published statistics |
| Basel III standards in force by jurisdiction | adoption status per standard against the agreed list | semi-annual | BCBS implementation progress report | Published statistics |
| Basel Core Principles observance | grade per principle from compliant to materially non-compliant | per FSAP | IMF and World Bank detailed assessment | Published statistics |
| Capital requirement stack | percent of risk-weighted assets by layer: Pillar 1, Pillar 2, buffers | annual | Supervisory decisions and bank disclosures | Published statistics |
| Risk-weight density | risk-weighted assets as percent of total exposure | quarterly | Pillar 3 disclosures | REPORTED |
| Insurance solvency coverage | eligible own funds as percent of the solvency capital requirement | annual | Solvency and financial condition reports | REPORTED |
| Internal model variability | dispersion of risk weights for a common benchmark portfolio | annual | Supervisory benchmarking exercise | MODELLED |
| Formal supervisory corrective actions | count of published actions per year | annual | Enforcement registers | Published statistics |
Policy paths and what they do to the risk.
How three families of instruments change a risk outcome over time with adoption lags, coverage and compliance, the policy scenarios behind transition and physical risk assessments. Scenario: named assumptions about the future, not a forecast.
Controls
- Baseline trend of the outcome
- 2.0% a year
- Coverage of the instrument
- 70%
- Compliance
- 75%
- Effect size, against the teaching value
- 100%
- Years ahead
- 20 years
Readouts
- Largest reduction at the horizon
- Regulation
- Its reduction against the baseline
- 21%
Numbers, methods and sources
| Year | Baseline | Regulation | Economic incentive | Information and capacity |
|---|---|---|---|---|
| 0 | 100.0 | 99.5 | 98.8 | 99.1 |
| 1 | 102.0 | 101.2 | 100.1 | 99.8 |
| 2 | 104.0 | 102.5 | 101.1 | 99.9 |
| 3 | 106.1 | 103.5 | 101.6 | 100.0 |
| 4 | 108.2 | 103.7 | 101.8 | 100.7 |
| 5 | 110.4 | 103.2 | 101.7 | 102.1 |
| 6 | 112.6 | 102.0 | 101.6 | 103.9 |
| 7 | 114.9 | 100.4 | 101.6 | 105.9 |
| 8 | 117.2 | 99.2 | 102.1 | 108.0 |
| 9 | 119.5 | 98.6 | 102.9 | 110.1 |
| 10 | 121.9 | 98.9 | 104.2 | 112.3 |
| 11 | 124.3 | 99.7 | 105.7 | 114.5 |
| 12 | 126.8 | 101.1 | 107.4 | 116.8 |
| 13 | 129.4 | 102.7 | 109.4 | 119.2 |
| 14 | 131.9 | 104.5 | 111.4 | 121.6 |
| 15 | 134.6 | 106.5 | 113.5 | 124.0 |
| 16 | 137.3 | 108.5 | 115.7 | 126.5 |
| 17 | 140.0 | 110.7 | 118.0 | 129.0 |
| 18 | 142.8 | 112.9 | 120.4 | 131.6 |
| 19 | 145.7 | 115.1 | 122.8 | 134.2 |
| 20 | 148.6 | 117.4 | 125.2 | 136.9 |
Methods
- Tools of government Hood (1983), The Tools of Government, Macmillan
- Carrots, sticks and sermons Bemelmans-Videc, Rist and Vedung (1998), Transaction
- Diffusion of innovations Rogers (2003), Diffusion of Innovations, Free Press
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page's map can draw:
- Borders Natural Earth
- Cities Natural Earth
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Financial Regulation Nexus in Foundry
- Tested at Financial Regulation Nexus in Universe
- Codified in Finance, Insurance and the Economy in Standards
- Published in Financial Regulation Nexus in Reports
- Taught in Faculty of Finance and Economics in Academy
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| BCBS Regulatory Consistency Assessment Programme | Jurisdictional and thematic assessments of how Basel standards are adopted and how consistent outcomes are | Public, BIS terms of use with attribution |
| IMF Financial Sector Assessment Program reports | Detailed assessments of observance of the Basel Core Principles and IAIS Insurance Core Principles, technical notes | Public, IMF copyright and terms |
| EBA supervisory benchmarking and EU-wide transparency exercise | Bank-level capital, exposure and internal model comparisons for EU banks | Public, reuse with attribution |
| EIOPA insurance statistics | Aggregate Solvency II own funds, solvency ratios and balance sheets | Public, reuse with attribution |
| IAIS Global Monitoring Exercise and implementation assessments | Sector-wide systemic risk assessment and assessments of Holistic Framework implementation for insurance | Public, terms per IAIS |
| Bank Regulation and Supervision Survey (World Bank) | Cross-country records of capital rules, supervisory powers and practice | Free and open, CC BY |
| Pillar 3 disclosures | Bank-level capital, liquidity and risk-weighted asset templates in a standard format | Public disclosures, terms per bank |
What prudential regulation means for exposure, loss and capital.
The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.
Disclosure crosswalk
Where evidence on prudential regulation fits the disclosure and prudential frameworks institutions report against.
| Pillar | TCFD | ISSB IFRS S2 | Prudential (BCBS, IAIS) | Evidence this page can hold |
|---|---|---|---|---|
| Governance | Board oversight of climate-related risks | Governance requirements | Governance and risk appetite principles | Who owns the risk and how it is escalated |
| Strategy | Risks, opportunities and resilience | Scenario analysis and resilience | Strategy and business model principles | Scenario design and transmission paths |
| Risk management | Identify, assess, manage | Risk management processes | Internal control and ICAAP or ORSA | Exposure maps and loss views |
| Metrics and targets | Metrics used and targets set | Cross-industry and industry metrics | Data, metrics and reporting principles | Indicator definitions and units |
Who decides, and what the evidence serves.
Financial Regulation Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Basel Committee on Banking Supervision and the IAIS | Whether standards need recalibration, clarification or new backstops | Implementation monitoring, benchmarking dispersion and peer assessment grades in their published form |
| Legislatures and finance ministries | How international standards are transposed and which national options are taken | Comparative transposition maps and the published RCAP and FSAP assessments |
| Prudential supervisors | Which Pillar 2 requirements, model approvals and corrective actions a firm should face | Benchmarking dispersion and supervisory review practice across peer authorities |
| Boards of banks and insurers | How much capital to hold above requirements and how to govern internal models | Requirement stacks, model governance expectations and peer disclosures |
Outputs this topic produces
- Comparative maps of how each jurisdiction implements Basel and insurance standards
- Briefs on risk-weight variability and the backstops that bound it
- Perimeter maps showing where activity sits outside prudential regulation
- Supervisory learning notes on corrective action and forbearance
What experts ask.
Researchers on prudential regulation return to a set of core questions.
- How much capital and liquidity do banks and insurers need, and how should risk be measured?
- How do risk-weighted requirements compare with simpler measures such as leverage ratios?
- How do insurance solvency frameworks treat long-term liabilities and investment risk?
- What are the effects of prudential requirements on lending, pricing and risk-taking?
- How are new risks, such as climate and cyber, being incorporated into prudential frameworks?
Buffers against failure.
Banks fund long-term, illiquid assets with short-term liabilities, and insurers hold assets to meet uncertain future claims. Both are exposed to losses that can exceed their resources, and both create costs for others if they fail. Capital absorbs losses; liquidity allows institutions to meet withdrawals and obligations without fire sales. Prudential rules set minimums for both, along with requirements for governance and risk management.
Risk-weighted approaches tie capital to the riskiness of assets, but rely on models and weights that can understate risk or be gamed. Simpler measures are more robust but less sensitive. Insurance frameworks must value long-term liabilities, which makes results sensitive to discount rates and assumptions. Research on the effects of prudential rules finds trade-offs between resilience and the cost and availability of credit, which vary with design and economic conditions.
How the evidence is built, and where it stops.
- 01
Comparative standards analysis
Comparing international standards with national implementation, using policy and institutional science. Implementation details matter and differ.
- 02
Empirical studies
Estimating effects of requirements with financial economics. Isolating regulatory effects from other factors is hard.
- 03
Model analysis
Examining how risk models drive capital. Firms' internal models are not public.
- 04
Published disclosures
Using firms' public prudential disclosures. Comparability across firms and jurisdictions is limited.
How it is studied, and what the methods cannot say.
- 01Financial economics and macro-financeCosts and benefits of capital requirements · Tracing leakage of macroprudential measuresApplied here
- 02Policy, institutional and decision scienceRegulatory impact assessment · Comparing supervisory architecturesApplied here
- 03Data engineering, interoperability and stewardshipMapping templates to a common model · Entity resolution with identifiersApplied here
- 04Game theory and mechanism designHome-host cooperation in resolution · Regulatory competition between jurisdictionsApplied here
Questions and answers.
What separates prudential from conduct regulation?
Why are Basel standards not law?
What does an output floor do?
Are insurers regulated like banks?
Why not simply require very high capital?
Are banks and insurers regulated the same way?
Does the platform interpret prudential rules for firms?
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