A risk manager’s guide to stress testing portfolios against NATO instability and geopolitical tail risk

Geopolitics has always mattered to markets. But for much of the past three decades, it was possible to treat it as background noise, a factor that occasionally spiked volatility before fading back into the scenery. That separation is no longer sustainable.

The current environment is different in kind, not just degree. Fault lines are deepening across multiple theatres simultaneously. The war with Iran, now in its tenth week with a fragile ceasefire under acute strain and the Strait of Hormuz repeatedly opening and closing, has brought the most consequential of those fault lines into sharp focus. Against that backdrop, US political leadership has begun openly questioning the value of NATO and raising the prospect of withdrawal from the alliance, a development that, until recently, most risk models simply did not contemplate.

For risk managers at banks, asset managers, hedge funds, and institutional investors, the implications are hard to ignore. The foundational assumptions underpinning decades of portfolio construction are being tested in real time. This guide sets out what is changing, which asset classes are most exposed, and what a more resilient approach to risk management looks like in this environment.

 

 

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What the debate around NATO actually means for markets

Created in 1949 on the simple principle that an attack on one member is an attack on all, NATO evolved into a deeply integrated framework encompassing intelligence sharing, defence planning, logistics, and command structures. For decades, that framework provided the stable backdrop against which risk across the Euro-Atlantic region was priced. Markets did not treat NATO as a risk factor because it was assumed to be a constant.

What is changing now is not a single dramatic rupture but a gradual erosion of that assumption. European governments are now openly discussing scenarios that, until recently, were confined to closed rooms:

  • A greater European defence burden, with materially higher and more binding spending commitments
  • A stronger European pillar within NATO, reducing structural reliance on US capabilities
  • Increased use of regional coalitions operating alongside, rather than within, NATO structures
  • More conditional interpretations of collective defence, tied to capability thresholds or political alignment

None of these scenarios imply that NATO disappears. But they point toward an alliance that looks more fragmented, more regionally differentiated, and less anchored to a single unconditional security guarantor. For risk managers, that shift matters even in the absence of a formal rupture, because it changes the range of outcomes portfolios need to be resilient against.

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Managing geopolitical risk in real time requires more than historical models.

RiskSmart by TS Imagine enables risk teams to build, run, and update stress scenarios as events unfold, across equities, rates, FX, and commodities simultaneously.

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Asset class exposure: where geopolitical stress is showing up

Markets do not require certainty to reprice risk. They respond to shifts in expectations, confidence, and correlations. The erosion of NATO cohesion and the uncertainty around its future structure are already transmitting across asset classes.

Equities: volatility and sector rotation

European equity markets are most directly exposed, particularly sectors tied to defence spending, energy, and trade. Defence stocks have already repriced sharply in anticipation of higher European spending commitments. The broader question for risk managers is how those moves correlate with the rest of the equity book under stress. In previous geopolitical episodes, sector-specific repricing stayed relatively contained. That assumption is harder to sustain when the shock is systemic rather than isolated.

FX and precious metals: safe-haven assumptions under pressure

The traditional playbook, rotating into dollars, Swiss francs, or yen during periods of stress, is looking less reliable. Ongoing de-dollarisation and broader questions about the durability of the current reserve currency system have contributed to gold’s sustained rise. If confidence in the dollar as a safe-haven asset continues to weaken, the implications for portfolio hedging run deeper than a simple commodity allocation question.

Rates: competing forces, non-linear outcomes

Higher sovereign issuance to fund increased defence spending points in one direction; flight-to-quality dynamics during acute stress episodes point in another. The net effect on rates is genuinely uncertain, and the pace of any deterioration in NATO cohesion will matter as much as its severity. Duration positioning that looked sensible six months ago may not behave as expected if both forces are in play simultaneously.

Commodities: disruption is already priced in

The Strait of Hormuz has now been closed multiple times in recent weeks, with the US enforcing a blockade of Iranian ports and Iran firing on vessels attempting to pass. Energy markets are no longer pricing in the risk of disruption. They are pricing in disruption itself. Fuel shortages are already emerging in parts of Asia, and elevated prices look likely to persist. The relevant question for commodity-exposed portfolios is no longer whether disruption occurs, but how long it lasts and how broadly it propagates through supply chains.

Credit: spread widening for Europe-exposed issuers

Firms with significant exposure to energy importers, European sovereign debt, or sectors sensitive to higher defence-related funding costs should expect credit spreads to widen under sustained uncertainty. The risk is most acute for issuers where geopolitical and credit stress reinforce each other, rather than acting independently.

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Where standard risk models fall short in a geopolitical stress event

The correlation problem

One of the more dangerous features of geopolitical stress is that it tends to break down the correlations risk models rely on. Assets that typically diversify each other can move together, often sharply. A portfolio that looks well-diversified under normal conditions may turn out to be concentrated in a single geopolitical risk factor. Standard frameworks, particularly those calibrated to recent historical data, are not built to catch this.

The backward-looking problem

VaR figures, historical simulation, and most factor models struggle when the environment stops resembling the period over which they were estimated. Structural geopolitical shifts and regime changes in political assumptions do not show up in historical data until after the fact. By the time the models update, the exposure has already materialised.

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The questions risk managers should be asking now

Scenario-based stress testing is better suited to this environment than any backward-looking measure. The scenarios worth running include:

  • What if NATO cohesion weakens without formally breaking? How does that affect equity and credit correlations?
  • What if European defence spending rises materially over the next 18 months? What does that imply for sovereign spreads and duration positioning?
  • What if the Strait of Hormuz remains disrupted longer than markets currently expect? How far does an energy price shock propagate through the book?
  • What if the dollar’s safe-haven status continues to erode? How do existing hedging relationships hold up?

 

These are stress scenarios, not forecasts. Running them quickly, updating them as events develop, and understanding their portfolio-level impact is how geopolitical risk gets managed proactively rather than reactively.

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Real-time stress testing: moving from periodic reports to live risk visibility

Geopolitical uncertainty moves fast. The risk landscape around NATO today looks meaningfully different from six months ago, and it may shift again in the coming weeks. Monthly risk reports and static scenario sets are not designed for this kind of environment. By the time they are produced, they are already out of date.

What risk teams need is the ability to translate evolving developments into updated stress scenarios as events unfold, and to see the portfolio-level impact without waiting for an overnight batch run.

RiskSmart by TS Imagine is built for exactly this. Its real-time, multi-asset stress testing capabilities allow risk managers to:

  • Adjust equity, FX, rates, and commodity exposures immediately in response to geopolitical developments, without waiting for end-of-day processing
  • Model volatility spikes, correlation shifts, and safe-haven flow dynamics across the full portfolio as conditions change
  • Update scenarios continuously as new information emerges, so the analysis stays current rather than lagging events
  • Identify concentrations and vulnerabilities across strategies, asset classes, and geographies before they become visible in P&L

The shift from periodic to continuous risk monitoring is not just a technology upgrade. In a market environment where foundational assumptions are in flux, it is a meaningful operational advantage.

 

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The broader point: stress testing is not a contingency, it is standard practice now

None of the above requires a view that NATO will collapse or that a systemic market crisis is imminent. The point is more straightforward: the geopolitical environment is less predictable than it was, and some of the assumptions that quietly underpinned risk frameworks for decades need to be examined rather than carried forward.

Stress testing exists for precisely this purpose. It does not tell you what will happen. It tells you how your portfolio behaves if the world looks different from the recent past, and whether you are comfortable with that answer. In the current environment, that is a question worth asking regularly.

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Frequently Asked Questions

What is geopolitical stress testing?

Geopolitical stress testing involves modelling how a portfolio would perform under scenarios driven by political instability, conflict, sanctions, or shifts in international alliances, rather than purely financial shocks. Standard risk models are calibrated to historical market data and are not well-suited to capturing these dynamics, particularly when political developments affect multiple asset classes simultaneously and in correlated ways. For banks, asset managers, and institutional investors, geopolitical stress testing has moved from an occasional exercise to a regular part of the risk management process. Tools like RiskSmart by TS Imagine allow firms to build and run these scenarios in real time, updating them as events develop rather than relying on static, periodic analysis.

 

How does NATO instability affect financial markets?

The primary transmission mechanism is uncertainty. When confidence in collective defence arrangements weakens, investors reassess the risk premium attached to European assets. Sovereign borrowing costs rise for countries facing higher defence spending obligations. Safe-haven flows in FX markets behave differently from historical norms. Correlation structures between asset classes shift. What makes the current environment particularly challenging is that these effects are happening simultaneously across equities, rates, FX, and commodities, which limits the effectiveness of traditional diversification strategies.

 

How do risk managers handle correlation breakdown during a geopolitical crisis?

Correlation breakdown is one of the harder problems in geopolitical risk management. Historical correlation matrices are estimated from past data, which may look quite different from the current environment. When assets that normally move independently begin moving together, a portfolio that appeared well-diversified can develop concentrated exposures quickly. The practical response is to run scenarios that explicitly assume correlation breakdown, testing what happens if European equities and credit spreads widen together, or if traditional safe-haven assets fail to offset equity losses. Risk platforms that allow correlation assumptions to be adjusted dynamically are better positioned to handle this than models with fixed, periodically updated inputs.

 

What happens to a portfolio when energy markets are disrupted?

Energy disruption transmits through portfolios across several channels at once. The most direct is commodity exposure, but the effects extend to equities in energy-intensive sectors and emerging markets that are net importers, to credit through the impact on corporate margins and sovereign fiscal positions, and to rates through inflationary pressure on central bank policy. When disruption is persistent rather than temporary, these effects can compound rather than offset each other, forcing a broader repricing across asset classes. Real-time stress testing tools allow risk teams to model how these transmission effects play out across the full book as conditions evolve, rather than estimating them after the fact.

 

How frequently should geopolitical stress scenarios be updated?

In a stable environment, quarterly updates or event-driven reviews may be sufficient. In the current environment, that cadence is too slow. The risk picture around NATO and global energy markets has shifted materially over weeks, not quarters. Risk teams that can update scenarios on demand, in response to specific developments, are better placed than those working to a fixed calendar cycle. This requires both the right internal processes and the right technology. For firms reviewing their risk infrastructure, the ability to run and update geopolitical stress scenarios without a lengthy model rebuild is increasingly a practical necessity.

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Greg Jewell
Author Bio
Greg Jewell, Chief Product Officer, TS Imagine

Greg Jewell is TS Imagine’s Chief Product Officer. Greg began his career as a portfolio manager and broker at a proprietary trading desk in London during the height of the 2008 financial crisis. He later joined SunGard APT, focusing on multi-factor risk models, before moving to Imagine Software in 2011 as an implementation specialist. Over the past 14 years at TS Imagine, Greg has held several key roles, including Head of Professional Services and Support for EMEA. Following the merger of the trading and risk businesses, he transitioned to the product team. Prior to his current role as Chief Product Officer, Greg led the development of risk products across both buy-side and sell-side applications. BSc Physics with Nuclear Astrophysics, University of Surrey.