Model Catalog
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combined
CE Balanced Transition Synthesizer
Combined
Current
active
Data-derived combined model overlay blending macro, physical, and transmission conditions.
Horizon 2025–2050
Geography Global (sector-level synthesis)
Resolution Industry-sector with company-level pathway calibration
Projection years 2025, 2027, 2030, 2033, 2036, 2040, 2045, 2050
Economic pressure
Physical climate risk
Transition pressure
Transmission channels
Sector resilience
Opportunity index
Net-zero pathway consistency
Methodology
The CE Balanced Transition Synthesizer is a proprietary overlay model that blends economic, physical climate, and transmission signals using industry-calibrated component weights optimised against historical sector performance data. The component weights are set to reflect the balanced view under an orderly or moderately delayed transition, where economic and climate risks are broadly comparable. For each industry, weights are calibrated using sector-level historical loss data, regulatory cost curves, and forward-looking stress test outputs from the NGFS Phase 4 scenarios. Company-level emissions trajectories are used to determine the pathway consistency of each sector — sectors with major emitters on track (e.g., Maersk's methanol commitment) receive more orderly transition weight than sectors with lagging companies.
Key Mechanisms
- Component weighting: climate, economics, and transmission signals are blended using industry-native weights calibrated to historical sector loss data
- Pathway consistency check: sector decarbonisation pace (derived from major company commitments) modulates the transition pressure signal
- Transmission amplification: for sectors with high derived-demand linkage (transport, manufacturing), transmission channels receive elevated weight
- Resilience balancing: sectors with credible adaptation plans (Prologis renewable electricity, British Land net zero) receive resilience score uplifts
- NGFS Phase 4 anchoring: the model's scenario envelope is constrained to be consistent with NGFS orderly and delayed transition scenarios
Best For
balanced climate-economy integration with transition and resilience weighting
Strengths
- Integrates all three signal types — economic, climate, transmission — in a single coherent framework with explicit, auditable weights
- Industry-native weights reflect each sector's actual risk profile rather than applying a uniform blending formula
- NGFS alignment ensures the combined output is consistent with regulatory stress testing frameworks used by FSB, ECB, and BoE
Limitations
- Component weights are calibrated to historical data — the model may underweight novel risk combinations not present in history
- The balanced weighting assumes broadly orderly transition; it is not designed for extreme fragmentation or climate emergency scenarios
- Combined model output is a synthesis layer — diagnostic detail requires decomposition into the underlying economic and climate models
Industry Signal Dashboard
— projected signals from this model across all tracked industries
Combined Signal Overview by Industry
Economic and climate signals together — growth rate (%) and physical hazard index (0–1) per industry.
Inflation + Transition Pressure
Inflation rate (%) and transition pressure index side-by-side per industry.
Hazard vs Resilience
Physical hazard exposure vs adaptive resilience — industries above the diagonal face net vulnerability.
Industry Context
Energy
Energy receives high climate weight (0.42) in the balanced synthesizer, reflecting the dual physical and transition risk from fossil asset stranding and physical infrastructure stress. The economic component is damped because energy sector revenues are partially insulated by commodity pricing mechanisms. Aramco, ExxonMobil, and BP's diverging decarbonisation paces create within-sector weight dispersion that the balanced model averages across.
Agriculture
Agriculture receives the highest climate weight (0.50) in the balanced synthesizer across all sectors, reflecting physical hazard as the dominant driver. The economic component is damped because food systems have government backstop mechanisms (price supports, export controls) that partially insulate revenues. JBS, Cargill, and Bunge's South American operations anchor the elevated climate weight.
Manufacturing
Manufacturing receives the lowest climate weight (0.28) in the balanced synthesizer — physical risk is real but diffuse across thousands of facility types. The economic component dominates because policy regime (CBAM, carbon pricing) and financing conditions are the primary drivers of transition cost. ArcelorMittal's CBAM exposure and Toyota's EV investment signal are the key economic anchors.
Transport
Transport receives balanced economic and climate weights, reflecting that both channels create comparable pressure: physical infrastructure disruption (climate) and fuel/regulatory cost escalation (economic). The transmission component is elevated (0.36) due to transport's role as a propagation channel for supply chain disruption — Maersk's trade volume signals are the primary transmission calibration input.
Insurance
The balanced synthesizer treats insurance as a climate risk amplifier — the climate weight (0.48) is elevated because nat-cat losses drive the sector's financial viability. Munich Re's and Swiss Re's underwriting data directly calibrate the climate component weight. The economic component (0.20) is reduced because insurance premium growth is largely pass-through of physical risk costs.
Real Estate
Real estate has elevated weights across all three components — physical hazard (flooding, heat), economic conditions (rates, credit), and transmission (retrofit supply chain, insurance cost pass-through) compound each other. Vonovia's rate sensitivity, Prologis's physical exposure, and British Land's retrofit compliance cost all contribute to the sector's balanced but high-pressure profile.