1. Why single-point forecasts are no longer enough
Macroeconomic forecasts are no longer about getting one number right.
For banks and investors navigating the 2025–2026 outlook, the real challenge is managing balance sheets and portfolios across multiple plausible macroeconomic scenarios.
Current consensus points to a world of apparent stability: global growth hovering around 2.8–3.3% and inflation easing toward the 3–4% range. Yet beneath these headline numbers sit structural fragilities—geopolitical tensions, climate-related disruptions, supply-chain vulnerabilities and political uncertainty—that make single-point forecasts increasingly fragile.
In such an environment, the key question is no longer “What is the forecast?” but rather:
“What are the plausible macro paths ahead, and how would our balance sheet, funding and risk profile perform under each of them?”
Scenario analysis offers a more robust alternative. Instead of collapsing uncertainty into a single expected outcome, it expands macro thinking into a structured set of “what ifs” that better reflect today’s wide distribution of risks.
Scenario thinking is a planning approach that replaces single forecasts with a structured set of alternative macroeconomic paths, helping institutions test resilience across different growth, inflation and liquidity outcomes.
2. Three macroeconomic scenarios: central, upside and downside
A practical starting point is to frame three broad macro scenarios for the next few years, anchored in current research and market dynamics.
Central scenario.
Global growth remains in the 2.8–3.3% range, while inflation gradually eases toward 3–3.5%. The environment is characterised by recurring, medium-intensity shocks—such as an emerging-market default, regional energy or food disruptions, or episodic financial stress—that markets absorb without tipping into a systemic crisis.
Upside scenario.
Faster-than-expected productivity gains from artificial intelligence and digitalisation, combined with progress in energy technologies and capital deployment, lift potential growth. Central banks are able to loosen policy without re-igniting inflation, supporting risk assets and investment activity.
Downside scenario.
A liquidity squeeze in emerging markets, renewed trade fragmentation or policy missteps drag global growth closer to the low-2% range. Risk premia widen across credit and equities, funding conditions tighten, and cross-border capital flows become more volatile.
These scenarios are not point predictions. They are deliberately asymmetric narratives, designed to capture tail risks, liquidity stresses and non-linear market reactions that rarely appear in baseline forecasts.
3. Liquidity and fragmentation at the centre of the story
Two themes cut across all three scenarios: liquidity and fragmentation.
Even as policy rates eventually decline, the availability and distribution of liquidity will remain a key driver of asset prices. Monetary policy may once again act as a tailwind for global liquidity, but regulatory constraints, bank balance-sheet choices and non-bank leverage can still generate local stress points.
At the same time, geoeconomic fragmentation—regional trade blocs, strategic export controls and “friend-shoring”—means shocks no longer propagate in simple, predictable ways. For scenario analysis, this implies:
- Stress-testing funding models, not just income statements.
- Modelling region-specific shocks, such as a liquidity event in a particular emerging-market cluster.
- Paying close attention to how quickly capital can move between assets and jurisdictions when volatility spikes.
In a fragmented world, correlations are less stable and liquidity is more uneven—making scenario-based planning essential rather than optional.
4. Turning scenarios into a practical toolkit for banks
For banks, scenario analysis becomes most valuable when embedded in strategic planning rather than treated as a regulatory checkbox.
A practical playbook includes:
Capital and asset-mix decisions.
Test loan books and securities portfolios against all three scenarios. How do credit losses, risk-weighted assets and capital ratios behave if growth slows, yields back up or liquidity tightens?
Funding and liquidity planning.
Map core versus flight-prone deposits, wholesale funding reliance and collateral positioning under each path—especially a downside scenario driven by funding market stress rather than simply higher rates.
Business-line strategy.
Identify which products or geographies benefit in the upside scenario—such as financing AI-related or energy-transition investment—and which become vulnerabilities in the downside, including concentrated exposure to fragile sovereigns or cyclical sectors.
The objective is not to optimise for one scenario, but to build a balance sheet that is robust across all three and can be tilted quickly as probabilities shift.
5. How investors can apply the same framework
For investors, a three-scenario framework helps move beyond simplistic “risk-on/risk-off” thinking.
- Central scenario: focus on resilience—strong balance sheets, pricing power and business models that can operate through modest growth and recurring shocks.
- Upside scenario: tilt toward beneficiaries of higher productivity and capital expenditure, including select technology, infrastructure, industrials and financials that enable or finance the transition.
- Downside scenario: prioritise liquidity, diversification and assets less dependent on global funding conditions.
Crucially, scenario thinking also clarifies what needs to change in the data flow—growth surprises, inflation dynamics, policy signals or liquidity indicators—before a meaningful re-positioning is warranted. That discipline is what turns macro from noise into a genuine risk-management tool.
Conclusion: managing a “dynamic equilibrium” economy
In a stable-looking but fragile macro environment, the main risk is not being wrong on the forecast, but being unprepared for alternative paths.
In a “dynamic equilibrium” economy—where headline numbers appear calm but the underlying distribution of outcomes is wide—the competitive edge will belong to institutions that stop optimising for a single forecast and start managing across scenarios.
Scenario analysis does not eliminate uncertainty. It turns uncertainty into a strategic input, helping banks and investors navigate a world where stability and fragility coexist—and where resilience matters more than precision.
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