Model Catalog / economic

FRB/US Policy Transmission

Economic Current active

Detailed policy transmission profile with stronger financing and labor sensitivity.

Horizon 2025–2032
Geography United States (primary); international via NiGEM linkage
Resolution Sector-level financing conditions and investment responses
Projection years 2025, 2026, 2027, 2028, 2029, 2030, 2032
2.20 %
growth
2.70 %
inflation
1.40
investment
0.64
labor
0.78
confidence
Policy transmission Financing conditions Expectations channel Wage dynamics Credit spreads Capex allocation Clean-energy investment elasticity
Policy transmission depth vs. global consistency — use both for US climate stress

The IMF WEO provides global macro consistency across 195 countries, anchoring the economic trajectory for the full CE model suite. FRB/US provides something entirely different: the most detailed model of how US monetary policy, credit conditions, and financial sector dynamics translate macro shocks into sector-level investment outcomes. For US-domiciled portfolios, the difference between 'what happens to the US economy' (IMF WEO) and 'how does that propagate through the US financial system to specific sector capex' (FRB/US) is the analytical gap that FRB/US closes.

IMF WEO 2026 FRB/US Policy Model
Geographic scope Global — 195 countries with bilateral trade and finance United States — deep domestic transmission, limited international spillover
Policy transmission Stylised monetary + fiscal policy channels at country level Full US financial system: bank lending, capital markets, mortgage, insurance — all endogenous
Regulatory use IMF surveillance and NGFS scenario anchor Fed CCAR / DFAST stress test scenarios — direct US regulatory alignment
Sector detail Country-level aggregates with WEO sector decomposition Investment elasticity by sector: clean energy has highest rate sensitivity; captures green-brown financing differential
Expectations Adaptive / semi-rational expectations Full model-consistent rational expectations — forward guidance effects are explicit
Use IMF WEO for the global macro baseline and international calibration. Use FRB/US for US policy transmission: how does a 150bp Fed tightening cycle change clean energy financing spreads, corporate capex, and household demand for EVs? The Fed stress test regulatory alignment of FRB/US also makes it the authoritative reference for US financial sector counterparty analysis under climate scenarios.

Methodology

The Federal Reserve Board's FRB/US model is a large-scale econometric model of the US economy emphasising rational expectations, policy transmission, and financial conditions. It is particularly sensitive to the expectations channel — forward guidance and rate path credibility directly affect investment and consumption timing. CE adapts the model's policy transmission architecture to the six-sector framework by mapping financing conditions, credit spreads, and investment sensitivity to each industry's balance sheet structure and leverage. The model is the primary tool for stress-testing how interest rate paths affect sector-level capex allocation and decarbonisation investment decisions.

Key Mechanisms

  1. Rational expectations: agents use model-consistent expectations, making forward guidance and credibility central to outcomes
  2. Financial conditions index: credit spreads, equity risk premium, and mortgage rates transmit monetary policy to sector investment
  3. Labor market dynamics: wage bargaining, Phillips curve slope, and participation rate responses to policy are explicitly modelled
  4. Investment elasticity: each sector's capital expenditure responds differently to real interest rate changes — clean energy has the highest elasticity
  5. Inflation expectations anchoring: the degree to which expectations are anchored determines second-round effects from cost shocks
  6. Term structure dynamics: long-end rates respond to anticipated future short rates plus a time-varying term premium — affects clean energy project finance NPV through the full project lifetime discount rate
  7. Sectoral balance sheet evolution: household, corporate, and government balance sheets evolve endogenously, creating non-linear investment capacity effects when climate stress hits multiple sectors simultaneously
  8. Green bond and transition finance channel: Federal Reserve asset purchase programs and bank capital requirements affect relative financing costs for green versus brown investment — explicitly modelled as a policy transmission instrument

Score & Confidence Methodology

Growth and inflation signals are anchored to IMF WEO two-year-ahead projections. Investment indices are calibrated to World Bank enterprise survey trends. Signals are scenario-conditional; base case is IMF WEO central. Confidence bands reflect ±1 IMF WEO standard-deviation uncertainty range. Not a full DSGE/CGE optimisation solution — see Known Limitations.

Known Failure Modes

  • US-centric: designed for the US economy; international spillovers require NiGEM for cross-border calibration
  • Physical climate risk is not endogenous — it is treated as an external shock rather than a feedback mechanism
  • Less suited to commodity-price-driven sectors (energy, agriculture) where global supply dynamics dominate over monetary policy
  • Closed economy with limited international spillover modelling — requires NiGEM coupling to analyse cross-border transmission channels for non-US jurisdictions
  • Climate physical risk module is externally specified as a shock rather than an endogenous feedback — the model cannot generate compound physical-financial stress scenarios from first principles

Best For

expectations-sensitive policy transmission and financing conditions

Strengths

  • Best-in-class policy transmission: captures how monetary policy affects investment timing and sector-level financing costs
  • Expectations sensitivity allows accurate modelling of how forward guidance changes corporate investment planning cycles
  • Labor market detail captures sectoral skills mismatch and wage pressure dynamics relevant to green transition workforce shifts
  • Federal Reserve stress test alignment: Baseline / Adverse / Severely Adverse scenarios feed directly into DFAST and CCAR regulatory requirements — highest US regulatory authority
  • Most detailed US financial sector transmission of any macro model: bank lending standards, equity risk premium, mortgage market, and insurance sector linkages are all endogenous
  • Real sector–financial sector feedback loop: corporate distress from climate shocks propagates through bank balance sheets, tightening credit conditions and amplifying the initial shock

Maturity & Validation

Model era: Current • Status: active
Core models are internally cross-validated against institutional benchmarks. Advanced modules (DSGE, Monte Carlo, Catastrophe, Commodity) are prototype-grade — not yet independently peer-reviewed. View the full validation record at Validation Registry and current capability status at Capability Registry (JSON).

Scenario Coverage

Fed Baseline — current monetary policy stance, no structural regime break Fed Adverse — sharp recession scenario: 4% unemployment increase, equity market correction Fed Severely Adverse — GFC-magnitude financial stress: severe credit crunch, housing correction Green Transition Stress — carbon price shock + elevated clean energy financing cost spike Net Zero policy scenarios — use NGFS NZ2050 Cross-border propagation scenarios — use NiGEM Global Physical risk scenarios — use CMIP6 or GFDL Physical

Calibration Benchmarks

Federal Reserve CCAR / DFAST Stress Test Scenarios Baseline, Adverse, and Severely Adverse macro scenario parameters; primary regulatory calibration anchor
Federal Reserve Board FRB/US Model Documentation Structural parameter validation and equation system documentation
NY Fed DSGE Model outputs Cross-validation of monetary policy transmission and expectations formation
Brookings Hutchins Center macro forecasts Independent cross-check of near-term US macro trajectory
IMF WEO United States Chapter International macro calibration and global spillover baseline
Industry Signal Dashboard — projected signals from this model across all tracked industries
Growth Rate by Industry
Projected annual real GDP growth rate (%) for each industry under this model's default scenario.
Inflation by Industry
Projected price-level growth rate (%) per industry under this model.
Investment Index by Industry
Capital expenditure growth index — positive values indicate expanding investment activity.
Industry Context
Energy
FRB/US captures the energy sector's sensitivity to financing conditions — higher real rates suppress long-duration clean energy capex while short-cycle fossil investments are less affected. This creates a transition-retarding dynamic in fragmented policy regimes: monetary tightening disproportionately hurts the clean energy buildout relative to fossil operations. NextEra's 30-year asset life and BP's shifting capex mix are the primary calibration anchors.
Agriculture
The FRB/US model's agriculture calibration is primarily through commodity price channels and rural lending conditions. Agricultural investment is highly sensitive to the real rate environment and farm income expectations. Under fragmented policy, agricultural input cost pass-through (fertilizer, fuel — directly relevant to ADM and Tyson's cost structures) is imperfect, compressing margins and suppressing investment.
Manufacturing
Manufacturing is among the most policy-transmission-sensitive sectors in FRB/US. The model captures how equipment investment, capacity utilisation, and working capital costs respond to monetary policy shifts. Clean manufacturing (electrification, hydrogen) has higher interest rate elasticity than incumbent fossil-based operations — BASF's gas-intensive Verbund system and ArcelorMittal's green steel capex illustrate this asymmetry.
Transport
FRB/US captures transport's sensitivity to consumer confidence (passenger aviation — Delta), trade finance costs (freight — Maersk, FedEx), and fuel price expectations. Fleet electrification capex is highly rate-sensitive — long asset life, high upfront cost, fuel-cost NPV benefit at risk when discount rates rise. IMO compliance costs add a non-monetary cost layer modelled as a supply-side inflation shock.
Insurance
FRB/US is the primary model for insurance sector investment income dynamics. Insurance companies (Allianz, Zurich) hold large fixed-income portfolios — the model captures how rate normalisation improves investment yield while simultaneously increasing policy lapse rates. Net zero portfolio commitments from Allianz (NZAOA) and AXA are beginning to affect portfolio duration, creating a novel monetary-climate transmission channel.
Real Estate
FRB/US is the most relevant model for real estate given the sector's deep rate sensitivity — Vonovia's 60% valuation decline illustrates the mechanism. The model quantifies how mortgage rate levels, credit availability, and REIT financing costs transmit to construction starts and commercial property values. EPC mandates (British Land, Prologis) add systematic risk premiums not captured in the base model.
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