What geopolitical risk does to a market — and what governance changes about it

Two companies. Same industry, same size, same margins, same growth. One is listed in Frankfurt, the other in a country where the news occasionally involves the word "escalation". The second one trades at a lower multiple, and it will keep trading at a lower multiple even in the quiet years.

Most people explain that in one word — risk — and move on. That word is doing an enormous amount of work, and taking it apart is more useful than it sounds, because the gap between those two companies is not really a statement about either company. It is a statement about the ground each one is standing on.

What geopolitical risk actually means

It helps to separate three things that get used interchangeably.

Political risk is about a government's decisions: taxes, tariffs, capital controls, nationalisation, the rules changing because someone decided to change them.

Country risk is the broad bundle — political risk plus macroeconomic fragility plus the state of the banking system plus whether the currency holds.

Geopolitical risk is narrower and more specific: the threat, occurrence and escalation of conflict between states, and of acts that disrupt the peaceful conduct of international relations. Wars, invasions, terrorism, blockades, strikes on infrastructure, the closure of a shipping lane.

The distinction matters because these three travel differently. A tax change is announced and priced in a day. A war risk premium can sit in an asset price for years without any single event ever arriving, because what markets charge for is not the event — it is the possibility of the event.

It reaches the price before it reaches the economy

Here is the part that is genuinely counter-intuitive, and it is the reason market reactions so often look like an overreaction to people watching from outside.

A share price is, in principle, the value today of the cash a business is expected to produce over its life. Two things determine that number: how much cash you expect, and what rate you discount it at to account for the fact that future money is worth less than money now — and riskier future money is worth less still.

Geopolitical risk pushes on both.

It lowers expected cash flows. Trade routes lengthen. Insurance costs rise. Input prices move. Customers postpone. Staff leave. Some of this is measurable within months, some of it never resolves into a clean number.

It raises the discount rate. This is the larger and less visible effect. Investors demand more compensation for holding an asset whose future is harder to see. Nothing about the business needs to have changed for this to bite. The same expected cash flows, discounted at a higher rate, are worth less today. That is a repricing, not a downgrade.

And because the discount-rate channel needs no new information about the company — only a change in how uncertain the world looks — it moves first. The market reprices in a week; the economic damage, if it arrives at all, shows up in the data over quarters. From the outside this looks like markets panicking about nothing. Usually they are doing something more boring: raising the price of uncertainty.

There is a third channel underneath both, and in emerging markets it is often the one that does the real damage. Capital is mobile and it is impatient. When risk rises, foreign portfolio money leaves first, because it is the easiest to move. Its exit pressures the currency; a weaker currency raises the cost of imported inputs and the local-currency cost of dollar debt; that pressure lands back on the same companies whose shares started the sequence. The loop is the point. A market with deep domestic institutional investors dampens it. A market without them amplifies it.

Where governance comes in

Now the interesting question, and the one worth building research around.

Two countries face a comparable shock. One market falls and recovers. The other falls and stays down. The shock was similar. The response was not. Why?

The usual answer is that institutions absorb shocks, and "institutions" is another word doing too much work. Unpacked, it means a handful of quite concrete things:

• Rule of law. If a contract is enforceable and a court is predictable, a disruption is a delay. If neither holds, a disruption is a loss, because there is no mechanism to recover what you are owed.
• Government effectiveness. Whether the state can actually deliver a response — keep the port working, keep the electricity on, keep customs clearing — rather than merely announce one.
• Regulatory quality. Whether the rules that govern business survive the crisis, or whether the crisis becomes the reason to rewrite them at short notice.
• Control of corruption. Whether scarce resources during a crisis are allocated by rule or by relationship. This determines who bears the cost, and whether it is worth investing at all.
• Political stability. Partly circular here, but it captures whether the shock threatens the governing arrangement itself, which is a different order of problem.
• Voice and accountability. Whether bad decisions get corrected, and how long that takes.

These are the six dimensions the World Bank's Worldwide Governance Indicators track, and they are the standard vocabulary for this question because they are published consistently across most countries and years, which is what makes comparison possible at all.

The mechanism connecting them to asset prices is not mysterious. Strong institutions reduce the variance of outcomes following a shock. Investors are not only pricing how bad things might get. They are pricing how wide the range of possibilities is. Narrow that range and the risk premium falls, even if the average expected outcome is unchanged.

Which produces a testable claim: governance should not simply raise valuations on average — it should change how much a market is punished when geopolitical risk rises. That is a different and more demanding proposition than "good institutions are good for markets", which nobody disputes and which tells you very little.

What "modelled with governance" actually means

This is where the statistics earn their place, and it is worth understanding even if you never run a regression, because the idea is simple and the phrasing hides it.

Suppose you gather a panel: a set of countries, observed annually over a couple of decades. For each country-year you record a market performance measure, a geopolitical risk measure, a governance score, and controls for the things that would otherwise contaminate the comparison — the size of the economy, inflation, interest rates, how open the country is to trade, how developed its financial sector is.

You could then estimate something like: market performance explained by geopolitical risk, plus governance, plus the controls. That model answers two separate questions — does risk hurt, does governance help — and it assumes the answer to the first is the same everywhere.

The interesting model adds one more term: geopolitical risk multiplied by governance. An interaction term.

That term asks a different question. Not "does risk hurt?" but "does risk hurt less where governance is stronger?" The coefficient on the interaction is the moderating effect — the extent to which institutions change the slope of the relationship rather than simply shifting its level.

In plain terms: the standalone coefficients tell you the average damage and the average benefit. The interaction tells you whether a country can build a buffer. The first is a description. The second is closer to advice.

Getting an honest answer out of this is harder than setting it up. Governance moves slowly and correlates with everything — income, financial development, trade openness — so separating its effect from the effect of simply being a richer country takes care. Geopolitical risk measures built from news coverage capture attention as much as danger, and attention is not evenly distributed across the world. Countries differ in unobservable ways that persist, which is why fixed effects exist. And causation runs in both directions often enough to matter: falling markets and political instability feed each other.

None of this makes the exercise futile. It makes it a craft, and it is why the limitations section of a good paper is usually the most informative part.

Why this is not an academic question if you live here

For someone in Lebanon, or anywhere with a comparable risk profile, three things follow from the mechanism above.

A persistent discount is not a temporary mispricing. If a market trades cheap because of a structural risk premium, "cheap" is the price of that risk, not a bargain waiting to be recognised. Treating a permanent discount as a temporary one is among the most expensive mistakes available in this category of market.

The variables that move a risk premium are mostly not financial. Contract enforcement, policy predictability, institutional continuity. These sound like governance topics and they are, but they land on the cost of capital, which lands on what any asset here is worth. A reform that makes courts faster is a financial event, even though nobody reports it as one.

Diversification across assets is not diversification across risk. If everything you own sits inside the same institutional setting, you hold one risk many times. This is the specific reason geographical diversification is a different thing from holding several local positions, and why the argument for it is strongest precisely where it is hardest to arrange.

What this framework does not tell you

It does not tell you when anything will happen. It is a claim about how prices respond to risk, not a forecast of risk.

It does not say strong institutions make a market rise. It says they should make it fall by less, and recover more reliably — which is a claim about variance, not direction.

And it does not translate into a position. Knowing that a risk premium exists, and knowing whether it is currently too high or too low, are entirely different problems, and the second one is not solved by understanding the first.

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This piece explains the framework and the mechanism. My own Master's thesis at Saint-Joseph University of Beirut tested a version of this question empirically — geopolitical risk, institutional quality and market capitalisation across emerging economies. I'll publish the findings, the method and the limitations as a follow-up, with the actual numbers rather than a summary of them.