Geopolitics seldom moves financial markets with a single lever. It nudges, it shocks, and at times it overwhelms. Factor investors see this in return spreads, in clustered volatility, and in the uneasy choice between patience and reaction.
This piece builds a working map. It shows how to measure geopolitical risk, how shocks pass into value and momentum, and what to do when the tape turns jagged.
What we mean by “geopolitical risk” and how to measure it
Geopolitical risk is the risk that political tensions, conflicts, and related threats disrupt the economy and markets. It is not a single event; it is a moving background. The most cited yardstick is the news‑based GPR index by Caldara and Iacoviello, which offers daily and monthly versions and separates threats from realized acts. The design and effects are laid out in their paper, which also documents firm‑level and macro consequences such as weaker investment and more downside risk, see the GPR index.
One measure does not fit every region. The Bank for International Settlements builds region‑specific GPR series for the euro area and studies how shocks pass when policy and financial conditions vary. That work shows state dependence and different market reactions across countries, as set out in BIS Working Paper No. 1348.
High frequency adds another layer. Recent research proposes OSINT‑based indices that collect signals from public channels and use causal discovery to test lead and lag. One such study finds that conflict coverage causally affects energy returns and that political instability and energy coverage can come before conflict coverage.
Each approach brings a distinct lens. News‑based GPR gives a long history and broad coverage. Regional GPR picks up local nuance and policy links. OSINT can light up intraday attention shifts around fast‑moving events.
Why geopolitical shocks matter for factor investing today
Timing matters because the macro backdrop shapes the hit. A BlackRock event study of 68 geopolitical shocks since 1962 finds market impacts are larger when the macro setting is weak. The study also proposes attention measures to size those effects, see BlackRock’s study of 68 shocks.
Factor conditions also matter. Recent checks from J.P. Morgan’s Factor Views point to elevated momentum volatility and fragile momentum signals. They also show value screens as inexpensive relative to history. Their takeaway is to diversify factor risk and trim large momentum overweights when fragility rises.
Transmission is not the same across regions. The BIS shows that geopolitical shocks pass differently across sovereigns and markets. The strength of that pass‑through depends on financial and policy states. That implies factor payoffs can diverge by region around the same headline.
Transmission channels from geopolitical events to value and momentum
Start with attention. GPR spikes coincide with jumps in market attention and those jumps can lift volatility and change demand for safety. BlackRock formalizes this with its BlackRock Geopolitical Risk Indicators that track market focus on specific risks and tie that focus to expected market reactions.
Then the real economy bites. Caldara and Iacoviello document that higher geopolitical risk links to weaker investment and employment and to more downside risk at the firm level. Those pressures tend to hit capital‑intensive, cyclical firms common in value baskets and so can shift value’s near‑term risk and raise its medium‑term payoff when risk premia widen.
Energy is a direct channel. High‑frequency work shows that conflict news causally affects energy returns and that coverage of political instability and energy issues can precede conflict coverage. Energy stocks often sit in value portfolios, so sector shocks can drive value’s path in the event window.
Spillovers do the rest. Across nearly a century of data, Grobys and Vähämaa show time‑varying volatility spillovers between value and momentum and that when spillover intensity rises, value returns tend to be stronger and momentum returns tend to be weaker. They also sketch a spillover‑based allocation rule that adapts exposures across regimes.
Empirical design choices: timing, frequency and regime dependence
A clear definition of “event” comes first. Caldara and Iacoviello separate threats from realized acts. That helps isolate pure attention from physical escalation. Event windows should reflect that split and match the GPR series used, whether daily or monthly.
Regional context is next. The BIS builds euro‑area GPR measures and shows that transmission depends on policy and financial states. That implies you should interact GPR with monetary or liquidity variables and run models by region rather than only at a global level.
Attention matters to sizing. BlackRock’s framework uses BGRIs to map market attention to shocks and to stress‑test portfolios across standardized windows. It also shows impacts scale with the macro backdrop and that suggests conditioning scenarios on growth and inflation states.
High‑frequency tests add depth. OSINT‑based indices and causal discovery methods allow lead‑lag checks within days and hours. They help test whether attention spikes lead factor volatility, or the other way round, around conflict and energy news.
| Design choice | Suggested option | Why it helps |
|---|---|---|
| Event definition | Threat vs act (C&I) | Distinguishes attention from realized escalation |
| Frequency | Daily for event windows, monthly for drift | Matches shock timing and medium‑term effects |
| Geography | Global and regional GPR (BIS) | Captures heterogeneous transmission paths |
| Conditioning | Interact with macro/policy state | Accounts for state‑dependent impacts |
| Causality checks | OSINT + causal discovery | Tests lead/lag around conflict and energy news |
| Factor lens | Include spillover index | Adapts value/momentum tilts across regimes |
Quantitative evidence and illustrative case studies
The historical base is wide. BlackRock’s study labels 68 geopolitical shocks since 1962 and tracks asset moves around them. The pattern is clear. Impacts are larger when the macro setting is weak and attention measures improve sizing and planning.
Factor interactions show structure. Across 1926 to 2015, Grobys and Vähämaa find time‑varying volatility spillovers between value and momentum. They report that higher spillover intensity aligns with stronger value returns, weaker momentum returns, and that a spillover‑aware allocation rule improves results in their tests.
Current diagnostics add context. J.P. Morgan highlights elevated momentum volatility and fragility, plus attractive value valuations versus history. Those features make momentum more exposed to attention shocks and make value a candidate for measured tilts when spillovers rise.
Regional nuance is material. The BIS documents different market and sovereign reactions to geopolitical risk and state‑dependent pass‑through to macro and financial variables. That is a reminder to run the same event across regions, not just across factors.
Common misconceptions and methodological pitfalls
First, news attention is not the same as realized damage. Caldara and Iacoviello split threats from acts for this reason, and they show that the macro and firm effects vary with the type and timing of the shock. Collapsing these categories blurs the signal.
Second, state dependence is not optional. The BIS shows that the same shock can fade or amplify depending on policy and financial conditions. Ignoring that context invites false comfort or false alarm.
Third, correlation is cheap. High‑frequency OSINT work uses causal discovery to test direction and finds that conflict coverage causally affects energy returns. Without such tools, it is easy to swap cause and effect when factor volatility jumps.
Counterarguments and alternative explanations
A common view is that factor swings around geopolitical events reflect macro liquidity or monetary policy, not geopolitics. The BIS framework fits that concern by modeling transmission conditional on policy and financial states. It shows that geopolitics and policy often interact, rather than replace one another.
Another view is that attention fades fast, so factor impacts are noise. BlackRock’s event study suggests otherwise for certain regimes, especially when the macro backdrop is weak. Conditioning on growth and inflation improves the signal and the size of the move.
A third view is that measurement drives the result. That is a fair warning, so robustness checks can swap global GPR for regional GPR and test threats against realized acts as in Caldara and Iacoviello. Consistent results across those choices raise confidence.
Practical takeaways for portfolio construction and risk management
Use attention to size risk. BlackRock’s BGRIs map named risks to market focus and their event windows help calibrate shock size and decay. Combine that with current factor checks, such as momentum fragility and value pricing, to set ranges for exposure.
Respect spillovers. When volatility spillovers between value and momentum rise, the Grobys and Vähämaa evidence points to trimming momentum tilts and allowing some value expansion. Do this with guardrails and with regional context from BIS‑style measures.
Diversify factors and keep your breadth. AQR stresses diversification across factors and warns against panic rotation during macro and geopolitical turmoil. That advice fits the state‑dependent and spillover evidence and it echoes the point that timing is hard.
Stress‑test and hedge. Map BGRI scenarios to your holdings and run shocks with regional GPR overlays. For guidance on instruments and tactics, see our piece on hedging against geopolitical events. For tail sizing and drawdown control, see our analysis of tail risk under geopolitical tensions.
Check how disciplined your portfolio really is. A small rule, applied on time, often beats a big view applied late.
A concise research checklist and next steps for analysts
A clear roadmap helps teams move fast when headlines start to stack. The steps below are a practical baseline for a factor shop.
- Choose your GPR series: global daily and monthly for history, plus regional GPR where exposure is local.
- Split threats from realized acts to separate attention from escalation.
- Build event windows and use BGRIs to set window lengths and decay.
- Condition models on macro and policy states to capture state dependence.
- Add a volatility spillover index to guide value and momentum tilts across regimes.
- Extend with high‑frequency OSINT signals and causal discovery to test lead and lag.
- Cross‑check results across GPR constructions for robustness.
- Translate effect sizes into portfolio actions, with ranges tied to fragility diagnostics.
If inflation risk is part of the channel, align with your inflation factor work. For a framework, see our guide to factor models in inflationary regimes.
Run these steps before the next shock. The work is lighter when the baseline is in place.
Related reading
- Hedging Against Geopolitical Events: Effective Techniques for Minimizing Portfolio Risk
- Tail Risk and the Impact of Geopolitical Tensions on Investment Portfolios
- Enhancing Factor Models for Inflationary Environments: A Quantitative Approach