GRA · Financial Regulation Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Macroprudential policy
Macroprudential policy aims to keep the financial system as a whole resilient, by leaning against the build-up of system-wide risk and by making sure buffers can be released when a stress arrives. Its tools include countercyclical and systemic risk buffers, surcharges for systemic institutions and limits on borrower leverage. This page explains how systemic risk builds and spreads, how authorities read the macroprudential stance, and the limits of the evidence they act on.
Macroprudential policy in seven parts.
- 01The questionMacroprudential policy: 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 driversWhen individual prudence adds up to system risk
- 07Methods and dataHow the evidence is built, and where it stops
Macroprudential policy: how the risk develops.
System-wide buffers and risk controls. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Credit cycles build leverage
Rising asset prices raise collateral values, which supports more borrowing, which raises prices again. Risk looks lowest at the point it is highest, so measures based on current losses are procyclical.
Common exposures and fire sales
Firms holding similar assets and funded the same way sell together under stress. Forced sales lower prices, impose losses on every holder and tighten margins, turning an individual problem into a system one.
Leakage weakens measures
Tighter rules on banks can push lending to non-banks, branches of foreign banks and cross-border lenders. Without reciprocity and coverage of non-banks, a measure can shift risk rather than reduce it.
The bias towards acting late
The costs of tightening are visible and immediate, the benefits are an avoided crisis no one sees. Authorities face pressure to wait, so buffers are often built late and released reluctantly.
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
Macroprudential policy · Bank supervision · Cycle 1
Firms by risk rating
| Bank B | High | 3 | 3 | Enhanced |
| Bank D | Medium | 2 | 2 | Standard |
| Insurer Alpha | High | 3 | 3 | 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 |
|---|---|---|---|---|
| Countercyclical capital buffer rate | percent of domestic risk-weighted exposures | quarterly | Designated authority announcements | Published statistics |
| Credit-to-GDP gap | percentage points from long-run trend | quarterly | BIS credit statistics | ESTIMATED |
| Private non-financial debt service ratio | percent of income | quarterly | BIS debt service statistics | ESTIMATED |
| Borrower-based measures in force | type and calibration of loan-to-value and debt-service limits | quarterly | Macroprudential measure databases | Published statistics |
| Systemic risk and O-SII buffer rates | percent of risk-weighted exposures | annual | National notifications to the ESRB | Published statistics |
| Reciprocated measures | count of foreign measures reciprocated by each authority | annual | ESRB reciprocity records | Published statistics |
| Residential property price-to-income ratio | index | quarterly | Property price and income statistics | ESTIMATED |
| Macroprudential stance assessment | qualitative category against assessed systemic risk | annual | Authority stance frameworks | MODELLED |
How a shock to assets becomes a system loss.
The equity the system loses after interbank contagion, against the initial hit, as leverage, interconnection and recovery rates change, the core of a macroprudential stress test. Teaching model with stated illustrative values, not a prediction.
Controls
- Fall in external assets
- 2.0%
- Leverage (assets over equity)
- 10 times
- Interbank share of assets
- 10%
- Recovery on interbank claims
- 40%
- Banks in the system
- 20
- Core banks
- 20% of banks
Readouts
- Equity lost to the initial shock
- 18.0%
- Equity lost after contagion
- 45.0%
- Added by contagion (DebtRank)
- 27.0 points
- Banks in default
- 0
Numbers, methods and sources
| Round | System equity lost (%) | Banks in default |
|---|---|---|
| 0 | 18.00 | 0 |
| 1 | 28.80 | 0 |
| 2 | 35.28 | 0 |
| 3 | 39.17 | 0 |
| 4 | 41.50 | 0 |
| 5 | 42.90 | 0 |
| 6 | 43.74 | 0 |
| 7 | 44.24 | 0 |
| 8 | 44.55 | 0 |
| 9 | 44.73 | 0 |
| 10 | 44.84 | 0 |
| 11 | 44.90 | 0 |
| 12 | 44.94 | 0 |
| 13 | 44.96 | 0 |
| 14 | 44.98 | 0 |
| 15 | 44.99 | 0 |
| 16 | 44.99 | 0 |
| 17 | 45.00 | 0 |
| 18 | 45.00 | 0 |
| 19 | 45.00 | 0 |
| 20 | 45.00 | 0 |
| 21 | 45.00 | 0 |
| 22 | 45.00 | 0 |
| 23 | 45.00 | 0 |
| 24 | 45.00 | 0 |
| 25 | 45.00 | 0 |
| 26 | 45.00 | 0 |
| 27 | 45.00 | 0 |
| 28 | 45.00 | 0 |
| 29 | 45.00 | 0 |
| 30 | 45.00 | 0 |
Methods
- DebtRank Battiston and others (2012), Scientific Reports 2:541
- Differential DebtRank Bardoscia and others (2015), PLOS ONE 10
- Contagion in financial networks Gai and Kapadia (2010), Proc. R. Soc. A 466
- Clearing in financial networks Eisenberg and Noe (2001), Management Science 47
- 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
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme's own evidence.
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 |
|---|---|---|
| ESRB national macroprudential measures database | Measures notified by EU and EEA authorities, with rates, scope and reciprocity | Public, reuse with attribution |
| ECB Macroprudential Database | Harmonised indicators of credit, property, banking and financial cycle conditions | Public, ECB reuse policy with attribution |
| BIS credit-to-GDP gaps, total credit and debt service ratios | Long-run cross-country series on private credit and its burden | Public, BIS terms of use with attribution |
| IMF Integrated Macroprudential Policy database | Cross-country record of macroprudential actions by tool and direction | Public, IMF terms |
| BIS residential property price statistics | Comparable house price series across many economies | Public, BIS terms of use with attribution |
| Financial stability reports and policy committee records | Published reasoning of authorities such as the Bank of England Financial Policy Committee | Public, terms per authority |
| IMF Global Financial Stability Report | Global assessment of systemic vulnerabilities and policy | Public, IMF copyright and terms |
What macroprudential policy 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 macroprudential policy 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 |
|---|---|---|
| Designated macroprudential authorities and financial policy committees | When to build or release countercyclical and systemic buffers | Credit and property indicators with their stated weaknesses; peer stance comparisons |
| Legislatures and finance ministries | Which mandate, tools and accountability a macroprudential authority should have | Comparative institutional designs and IMF assessments of macroprudential frameworks |
| European Systemic Risk Board | Whether to issue warnings, recommendations or reciprocity requests | Measure databases and cross-border leakage evidence |
| Central bank boards | How macroprudential and monetary stances interact | Credit cycle indicators and published stance frameworks |
Outputs this topic produces
- Comparative maps of macroprudential mandates, tools and authorities
- Briefs on how buffers are set, released and reciprocated
- Guides to systemic risk indicators with their known weaknesses
- Learning material on leakage to non-banks and across borders
What experts ask.
Macroprudential researchers ask how to see and contain risks that no single firm creates alone.
- How can authorities identify the build-up of system-wide risk in time to act?
- Which tools, such as countercyclical buffers or borrower-based measures, work best for which risks?
- How should macroprudential policy interact with monetary and fiscal policy?
- How can risks outside the banking sector, in non-bank finance, be addressed?
- How is macroprudential policy governed and held accountable?
When individual prudence adds up to system risk.
Actions that are prudent for each firm can be destabilising together. In booms, rising asset prices and easy credit reinforce each other; in busts, firms sell assets and cut lending at the same time, deepening the downturn. Common exposures and interconnections mean that one institution's problems can spread to others. Microprudential supervision, focused on individual firms, can miss these dynamics.
Macroprudential tools address them by building buffers in good times that can be released in bad times, limiting borrower leverage through measures such as loan-to-value limits, and requiring additional resilience from systemically important institutions. Evidence suggests borrower-based measures can slow credit growth, though effects vary and activity can shift to less regulated channels.
How the evidence is built, and where it stops.
- 01
Systemic risk indicators
Tracking credit, asset prices and leverage with financial economics and macro-finance. Indicators can signal late or falsely.
- 02
Network analysis
Mapping interconnections between institutions. Data on exposures is often confidential.
- 03
Policy evaluation
Estimating effects of macroprudential measures. Few episodes and many confounders limit evidence.
- 04
Scenario analysis
Exploring system responses to shocks. See scenario tools.
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
- 03Game theory and mechanism designHome-host cooperation in resolution · Regulatory competition between jurisdictionsApplied here
- 04Data engineering, interoperability and stewardshipMapping templates to a common model · Entity resolution with identifiersApplied here
Questions and answers.
How is macroprudential different from microprudential?
Why release a buffer in a crisis?
What is reciprocity?
Can macroprudential policy prevent crises?
Does GRA comment on specific macroprudential decisions?
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