Model Catalog / economic

IMF WEO 2026 Baseline

Economic Current active

Top-down macro baseline for near- and medium-term global conditions.

Horizon 2025–2031
Geography Global (195 countries)
Resolution Sector-level via aggregate decomposition
Projection years 2025, 2026, 2027, 2028, 2029, 2030, 2031
2.90 %
growth
3.10 %
inflation
1.90
investment
0.58
labor
0.74
confidence
GDP growth Inflation Investment Labour markets Climate transition risk Carbon price trajectory Trade flows
Country-level decomposition vs. cross-border propagation — complementary not competing

IMF WEO and NiGEM are both global macro models, but they answer different questions. The IMF WEO provides the deepest country-level fiscal, monetary, and structural decomposition: it tells you what the transition means for Egypt's debt-to-GDP ratio, Brazil's fiscal space, and India's current account. NiGEM tells you how a carbon border adjustment in Europe propagates through bilateral trade flows to affect those same countries. CE uses both: IMF WEO for within-country macro trajectory and fiscal constraint, NiGEM for cross-border shock propagation and trade fragmentation scenarios.

NiGEM Global Model IMF WEO 2026
Primary strength Cross-border shock propagation through trade, finance, and commodity channels Country-level fiscal, monetary, and structural policy decomposition for 195 economies
Scenario type Multi-country shock scenarios: CBAM, trade fragmentation, capital flow reversal Reference / Downside / Fragmentation scenarios with IMF institutional mandate
Financial sector Sovereign spreads and capital flows modelled cross-border Full IMF GFSR financial stability overlay — banking, corporate, sovereign linkages
Emerging markets 50+ country models with bilateral trade linkages 195-country accounting including World Bank GEP calibration for developing economies
Update cycle Annual model calibration (NIESR) Semi-annual (April + October) with rapid policy change signal updates
IMF WEO is the macro floor — it anchors the economic trajectory all other models stress. NiGEM is the propagation engine — it models how shocks cross borders. For a question like 'what does a delayed European carbon price do to Southeast Asian export competitiveness?', you need NiGEM for the propagation and IMF WEO for the within-country fiscal response. Neither model alone captures both dimensions.

Methodology

The IMF World Economic Outlook constructs a globally consistent macro baseline from Article IV country consultations and a multi-country DSGE framework, updated twice yearly. The 2026 edition introduces a Climate Transition Risk module that applies growth-at-risk haircuts to carbon-intensive sectors based on their distance from net-zero pathways. CE adapts the WEO by extracting industry-level decompositions from IMF Fiscal Monitor and IEA sector accounts, overlaying industry-native calibrations for each of the six tracked sectors. Under a delayed transition pathway, the model embeds a stranded-asset haircut on capital formation and a terms-of-trade penalty for carbon-intensive exporters.

Key Mechanisms

  1. PPP-weighted aggregate demand: cross-country growth is demand-pull consistent across 195 member countries
  2. Inflation expectations channel: monetary policy stance modulates how quickly inflation expectations anchor to target, affecting investment timing
  3. Climate Transition Risk module: carbon-intensive sectors face growth-at-risk haircuts proportional to regulatory exposure under each pathway
  4. Policy uncertainty premium: transition from coordinated to fragmented policy regimes adds an investment drag via higher discount rates
  5. Labor market tightness: derived from structural unemployment gap, skills mismatch in green transition sectors, and participation rate trends
  6. Sovereign risk premium: fiscal space constraints in high-debt economies create differential capacity to fund green transition spending, modelled as country-specific financing cost haircuts
  7. Trade channel adjustment: merchandise trade flows respond endogenously to carbon border adjustments and tariff escalation, propagating green/brown competitiveness effects across 195 countries
  8. Debt sustainability overlay: sovereign debt-to-GDP ratios under climate stress scenarios constrain fiscal capacity for transition investment — the model flags countries where climate transition spending would breach IMF debt sustainability thresholds

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

  • Top-down decomposition: sector signals are derived from aggregate accounts, not independently modelled from firm-level data
  • Financial sector feedback loops (banking, insurance) are partially off-model — treated as transmission channels, not endogenous
  • Assumes continuous market adjustment; discontinuous shocks (debt cliff, energy price spike) are captured via scenarios only
  • Sector granularity is coarser than CGE models — technology substitution within sectors is not explicitly modelled; within-sector allocation requires supplementary analysis
  • Behavioral assumptions (rational expectations, smooth market adjustment) understate coordination failures and discontinuous shocks that characterise high-fragmentation policy regimes

Best For

global baseline growth, inflation, and policy context

Strengths

  • Global consistency — 195-country accounting framework prevents double-counting of cross-border exposures
  • Quarterly revision cycle maintains near-term accuracy and incorporates rapidly evolving climate policy signals
  • Explicit policy scenario framework: base case, upside, and stress scenarios are fully specified with quantified growth-at-risk
  • NGFS Phase IV macro anchor: IMF WEO baseline is the reference economic scenario underpinning NGFS orderly transition — highest institutional legitimacy for regulatory disclosure
  • Sovereign fiscal constraint tracking: explicitly models which countries have fiscal space for transition investment versus those forced to delay — critical for emerging market portfolio positioning
  • Semi-annual outlook revision cycle (April / October) provides more frequent signal updates than annual IAM runs, capturing rapidly evolving climate policy signals

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

IMF Reference Case — World Economic Outlook baseline (current-policy trajectory) IMF Downside Scenario — policy uncertainty spike + credit tightening IMF Climate Fragmentation Scenario — trade barrier escalation + carbon cost divergence between blocs Orderly Net Zero 2050 — use NGFS NZ2050 Physical risk scenarios — use CMIP6 or GFDL Physical Sub-sector technology deployment scenarios — use CE Solution Scale Model or GCAM

Calibration Benchmarks

IMF World Economic Outlook (April / October editions) Primary scenario calibration: GDP growth, inflation, fiscal balance, and investment trajectories by country group
IMF Fiscal Monitor Sovereign fiscal space constraints and green transition spending capacity by country
IMF Global Financial Stability Report (GFSR) Financial stability overlay: credit conditions, corporate debt sustainability under climate stress
OECD Economic Outlook Cross-validation of developed-economy growth and inflation forecasts
World Bank Global Economic Prospects Emerging market calibration and developing-economy growth trajectory verification
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
Energy sector growth under the IMF WEO is anchored to oil price and commodity market projections, adjusted for transition capex displacement. The model's investment signal for energy reflects the IMF's estimated clean energy investment gap (~$4tn/year by 2030 vs ~$1.8tn current). High fossil-fuel revenue dependency creates structural inflation sensitivity when oil price volatility is elevated — a direct link to Aramco and ExxonMobil's production economics.
Agriculture
Agricultural growth is governed by food price dynamics, terms of trade for commodity exporters, and input cost inflation (fertilizer, energy). The WEO captures climate-related yield loss risk as a medium-term growth drag (~9–23% reduction by 2050 under baseline scenarios). Food export restrictions in response to climate shocks are modelled as a trade fragmentation risk, calibrated against Cargill and JBS supply chain disruption data.
Manufacturing
Manufacturing growth reflects industrial production, global trade volumes, and investment in automation and electrification. The CBAM creates an asymmetric competitive impact between EU and non-EU manufacturers that WEO now explicitly models. Hard-to-abate sectors (steel via ArcelorMittal, cement via Holcim) face the highest investment-to-transition cost ratio in the WEO framework.
Transport
Transport sector growth in the WEO is a derived-demand function following trade volumes and industrial output rather than being independently modelled. CE overrides this with sector-native freight and passenger volume projections (ITF, ICAO) for the growth signal. IMO 2028 carbon levy costs — anchored to Maersk's compliance trajectory — are treated as a sector-specific inflation shock on shipping inputs.
Insurance
The WEO models insurance via financial sector accounts — premium growth links to GDP, claims trends link to physical risk events. CE augments this with nat-cat loss data from Munich Re and Swiss Re sigma to ground the claims inflation signal at sector level. The model captures the insurance protection gap as a fiscal risk in markets where insurer retreat forces public backstop obligations.
Real Estate
Real estate investment is highly interest-rate-sensitive in the WEO framework. Rate normalisation post-2023 created a 12–18% capital value correction in commercial real estate globally — Vonovia's 60% valuation decline is the model's calibration event. The WEO also tracks the EPC retrofit mandate pipeline (via British Land and Prologis compliance costs) as a capex obligation that structurally reduces free cash flow.
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