Gulf strikes push oil toward $100 as the US–Canada trade war bites harder

This sits squarely in Economics HL, specifically the macroeconomics unit on aggregate supply and inflation. The destruction of Iranian tankers and the threat to Gulf shipping is a negative supply shock — it shifts the short-run aggregate supply (SRAS) curve to the left. On an AD-AS diagram, that shift raises the price level (inflationary pressure) while reducing real output, producing stagflation in the short run. The transmission chain is: military escalation → reduced tanker traffic / higher risk premium on Gulf oil → oil price spike → higher production costs for firms across every sector that uses energy or petrochemicals → SRAS shifts left → price level rises, output falls. For oil-importing economies, there is a second channel through the terms of trade (the ratio of export prices to import prices): if oil prices rise faster than export prices, the terms of trade deteriorate, meaning the country must export more to pay for the same volume of imports. India's terms of trade worsen directly, which is why the rupee is already moving.

The honest counter-argument is that one day's market move does not confirm a sustained supply shock — if the conflict de-escalates quickly, oil could retrace. The figures we have cover a single trading session, so this could partly be noise and risk-premium rather than a genuine supply reduction. That said, the rupee at 94.95 and equity markets falling simultaneously suggest the market is pricing in something more than a one-day spike. For India, the RBI faces a classic policy trilemma episode: higher imported inflation argues for tightening, but a global slowdown argues for easing. This story is ideal for an Economics HL Paper 1 essay on supply-side shocks and the policy dilemma they create, or as the centrepiece of an IA on how oil price changes affect a specific Indian industry (airlines, fertilisers). The TOK angle is also worth noting: how much of the $100 oil price is 'real' supply disruption versus market psychology and speculation — and how would we even distinguish the two?

This is a core Economics HL international trade story. The key concept is retaliatory tariffs — when one country imposes a tariff, the affected country responds in kind, and the result is a trade war where both sides lose. The standard free-trade model (based on comparative advantage) predicts that tariffs reduce total welfare: the consumer surplus lost in the importing country exceeds the producer surplus gained by domestic producers, and the government collects tariff revenue, but the net effect is a deadweight welfare loss. The diagram to draw is the standard tariff diagram: domestic supply and demand, world price, tariff-inclusive price, and the welfare triangles. With a 50% tariff on steel, Canadian manufacturers face higher input costs, shifting their own supply curves left — so the tariff's damage ripples downstream through the supply chain, not just at the border. The US import ban on Canadian dairy is a non-tariff barrier (NTB) — a quantitative restriction — which has an even more distorting effect because it removes the price mechanism entirely.

The evaluation a good candidate would raise is that tariffs can have a short-run infant industry or strategic trade justification — protecting sectors deemed critical to national security (steel, aluminium) — but the evidence from previous US–Canada trade disputes is that the costs to downstream industries and consumers tend to outweigh those gains. There is also a terms of trade argument: a large economy imposing a tariff can theoretically improve its terms of trade by forcing the exporting country to lower its prices, but that only works if the exporting country does not retaliate — which Canada clearly has. For India, the indirect channel is through global supply chain disruption: if North American manufacturing slows, demand for Indian IT services, auto components and pharmaceuticals that feed into those supply chains could soften. This story works well as an Economics HL Paper 2 data-response example on tariffs and welfare, or as an EE topic comparing the economic effects of the 2018 and 2026 US–Canada trade disputes. The reflective question: if both sides lose from a trade war, why do governments keep starting them?

This story sits in Economics HL, the open-economy macroeconomics section, and touches on Global Politics through the lens of how military conflict transmits into financial markets. The core mechanism is the exchange rate channel. When oil prices rise, India's current account deficit (the gap between what it earns from and pays to the rest of the world) widens, because the import bill grows. To pay for more expensive oil, Indian importers need more dollars — they sell rupees and buy dollars, which increases the supply of rupees in the foreign exchange market and reduces demand for rupees, depreciating the currency. On a standard forex diagram (rupee on the vertical axis, quantity of rupees on the horizontal), the supply curve shifts right and the demand curve shifts left, and the equilibrium exchange rate falls — which is exactly what we see at 94.95. The ECB angle adds a second layer: if the ECB hikes, the interest rate differential between the eurozone and emerging markets narrows, reducing the incentive for carry trades (borrowing in low-rate currencies to invest in high-rate ones) that had previously supported the rupee.

The limitation worth flagging is that the dollar-weakening story and the rupee-weakening story are pulling in opposite directions — a weaker dollar should support the rupee, but the oil shock is dominating. This is a good example of why ceteris paribus (holding other things equal) assumptions break down in real macro: multiple shocks hit simultaneously, and the net effect depends on which is larger. For India, the RBI will be watching the rupee closely — a sharp depreciation raises imported inflation (especially for oil, electronics and gold), which could force the RBI to intervene in the forex market or delay any rate cuts it might have been considering. UK gas prices near January 2023 highs are a useful data point for a Paper 1 essay on cost-push inflation in open economies. The TOK question here: central bank decisions are presented as technical and data-driven, but how much of the 'data' they respond to is itself shaped by market expectations of what they will do?