Intermarket analysis

Everything so far in this book has stared at a single price chart — one stock, one index, in isolation. But no market trades in a sealed room. When crude oil spikes, something happens to airline and paint-maker shares, and to the rupee, and to the inflation number the central bank watches. When the US dollar strengthens, foreign money that had flowed into Indian stocks tends to flow back out. When bond yields climb, the appeal of stocks relative to safe interest shifts. The markets lean on one another.

Intermarket analysis is the practice of reading those links — watching bonds, currencies, commodities and equities together, because each carries information about the others. The promise is seductive: if the dollar "leads" equities, just watch the dollar and you will know where stocks go next.

So here is the question, and the whole tension of this final framework: the relationships are real, and worth understanding — but how much can you actually trust them? The honest answer is that they are superb for context and treacherous as signals, and the moment you start trading them mechanically, they change.

The links are not mystical. They come from plain economics.

Crude oil and Indian equities. India imports the large majority of the oil it burns. When crude rises, the country's import bill rises, the rupee tends to weaken, inflation pressure builds, and the input costs of oil-hungry businesses — transport, paints, tyres, aviation, chemicals — climb, squeezing their margins. So, on average and over time, sharply rising crude leans against Indian equities, and against some sectors far more than others. A domestic oil producer, meanwhile, can benefit from the very same move. The link is real, uneven, and always competing with other forces.

The US dollar and the rupee. A large share of Indian equity buying comes from foreign investors. When the dollar strengthens — often because US interest rates are rising — global money tends to head back toward dollar assets, and the rupee weakens. That outflow can pressure Indian stocks, and a falling rupee also raises the cost of imports. A strong dollar is, loosely, a headwind; a weak one, loosely, a tailwind.

Bond yields and stocks. Bonds pay interest; stocks compete with that interest for investors' money. When yields rise, the "risk-free" return improves, which can make stocks look relatively less attractive and raises the rate at which future company profits are discounted. Rising yields are, again loosely, a drag on equities — though a strong economy can lift both at once, which is exactly why the link is a tendency, not a law.

Risk-on and risk-off. Underneath many of these moves is a single mood swing that ties markets together. In a risk-on mood, investors reach for equities and riskier assets and sell safe havens; in a risk-off mood, they flee to bonds, the dollar and gold and dump equities. That shared mood is why so many markets suddenly move together in a crisis — they are all reacting to the same fear, not to each other.

Put the main players on one page and the web of typical tendencies looks like this. Read it as a rough map of leanings, not a wiring diagram — every arrow is a "usually," not an "always."

The key idea to take from the map is the honest one written across its foot: these are tendencies, not switches. Each arrow describes what happens on balance, over time, all else equal — and in real markets all else is never equal. On any given day, a company's own earnings, a policy surprise, or a global wave of fear can completely swamp every relationship on the page. Intermarket analysis is a way of understanding the weather system your stock sits inside. It is not a set of buttons that move the price.

Use the web the right way — for context around a decision, not as a trigger. illustrative

Say you are looking at an Indian tyre-maker whose chart, on its own, looks constructive. Intermarket context adds a layer the price chart cannot show. You glance at crude: it has been climbing hard for weeks. That matters here specifically — rubber and oil-derived inputs are a big share of a tyre-maker's costs, so rising crude is a genuine headwind to its margins. You glance at the rupee: weakening, which raises the cost of its imported inputs further. None of this tells you what the stock will do tomorrow. It tells you what pressures the business is trading against, so you read its own chart, and its own results, with that headwind in mind.

Now flip it. An oil-and-gas producer, same rising-crude backdrop — here the same context reads as a tailwind. Identical intermarket picture, opposite meaning, because the relationship runs through the specific economics of the specific business. That is the whole art: intermarket analysis is not read mechanically off the index; it is read through the company in front of you.

The honest use, then, is as a context-setter and a sanity check. Before leaning on a bullish chart, you ask: what is the weather? Is the dollar roaring, are yields spiking, is crude squeezing this sector's costs? If several big cross-currents run against the position, you hold the chart's story more loosely, size smaller, or wait. Often the equity has already absorbed the obvious cross-current before you noticed it — which is another reason to treat intermarket signals as background, not as a fresh edge nobody else can see.

Intermarket analysis is the most tempting framework in this book to over-trust, precisely because its logic sounds so solid. Its limits are correspondingly important.

The relationships are unstable. A crude–equity or dollar–equity correlation can be tight for a year and loose the next, because the reason behind it changes — a link driven by trade flows behaves differently from one driven by a global panic. There is no fixed set of intermarket rules that stays true across regimes; anyone selling a permanent one is selling a snapshot as if it were a law.

The lead and lag are not fixed. Even when two markets are genuinely related, which one moves first, and by how long, wanders. Sometimes the currency leads equities; sometimes it follows; sometimes they move together. A strategy that assumes "X always leads Y by two days" is fitting a schedule the markets never agreed to.

Correlation is not causation, and coincidence is common. With so many markets and so many windows, some pairs will move together beautifully by pure chance, with no economic link at all. A high correlation found by scanning many markets over many windows is exactly the kind of spurious pattern that looks like genius in a backtest and evaporates live.

And in the moments that matter most, the relationships collapse into one. In a genuine crisis, the careful web of "stocks down, bonds up, gold up" can break — everything can fall together as investors sell whatever they can to raise cash. The extreme events that do the most damage are the ones where the normal correlations stop protecting you. And, as always, none of this reads a single company's accounts — it is macro weather, not a business analysis.

Trading a tendency as a trigger. The headline error: "crude is up, therefore short the Nifty this morning." A tendency that holds on average over time is not a reliable guide to the next few hours, and treating it as one turns a genuine insight into a losing habit.

Mistaking a strong recent correlation for a permanent law. A chart of two markets moving in lockstep for a year is compelling — and it is a description of one regime, not a mechanism guaranteed to continue. The relationship you can measure most cleanly is often the one closest to breaking.

Ignoring which way the relationship runs for this business. Rising crude is a headwind for a paint-maker and a tailwind for an oil producer. Reading the intermarket signal off the index and slapping it onto every stock ignores the specific economics that make the link matter. The context has to pass through the company.

Building a house of cards. Intermarket analysis can pyramid: the dollar predicts bonds, which predict equities, which predict this stock. Each link is a loose tendency; stack four of them and the uncertainties multiply until the final "prediction" is almost pure noise dressed as a chain of logic.

Forgetting it is context, not edge. Everyone can see crude and the dollar. Whatever those markets obviously imply is usually already reflected in equity prices. Intermarket relationships are a lens for understanding, not a private signal — most valuable for keeping you humble about the forces around a position, least valuable as a source of secret trades.