A Year of US Tariffs and India's Export Concentration Barely Moved: The Correlated Credit Risk Nobody Priced

On 19 August 2026, Bloomberg reported that India's exports to the US held firm after a full year of punitive tariffs, with the American share of India's total exports largely unchanged at about 20%. That single number should reset how Indian risk managers talk about diversification. Through 2025 and 2026, every export council, board deck and bank presentation described market diversification as the strategic answer to US tariff action. Outlook Business coverage in August 2026 quotes industry describing the scouting of newer markets as a de-risking necessity. The intent is real. The outcome, one year in, is a rounding error.

The tariff path itself was anything but stable. Duties on Indian goods reached as high as 50% at the peak, dropped to 18% in February 2026, and now sit at a 10% rate, per Business Standard and Bloomberg coverage. One reason exports held is that 45% of India's exports to the US remain outside the 10% Section 301 duty, so nearly half the flow never faced the headline rate. The other reason is commercial gravity. US buyers are established, contracts are running, payment behaviour is known, and replacing a decade-old distribution relationship in a new market takes years, not quarters.

For a risk manager, the conclusion is uncomfortable but useful: assume the concentration is permanent for planning purposes. If a 50% duty spike did not move the share, a strategy document will not either. The question then changes from how fast can we diversify to how do we carry a persistent single-market exposure on an insured basis. That is a portfolio structuring problem, and it has concrete answers.

The 20% figure understates the problem because concentration is usually discussed as a sales statistic. The insurance-relevant reading is different: every US-facing receivable in the book shares one policy variable. When a duty schedule changes, it does not hit one buyer. It hits every buyer in the jurisdiction on the same day, through the same mechanism, in the same direction.

Trade credit underwriting normally treats buyer defaults as largely independent events. A distributor in Ohio failing and a retailer in Texas failing are separate credit stories, so a portfolio of thirty US buyers looks diversified on paper. A tariff event breaks that independence. Landed costs rise for all of them at once, margins compress across the whole channel, and the weakest buyers slide toward protracted default together. The exporter's receivables book behaves less like thirty separate credits and more like one large credit with thirty invoices.

This is the same aggregation logic insurers apply to natural catastrophe: individual houses are independent risks until an earthquake makes them one risk. A jurisdiction-wide tariff action is the earthquake of a receivables portfolio. The volatility of the past year, 50% down to 18% down to 10%, shows the trigger is live and repeatable, and the scenario planning discipline that boards apply to geopolitical shocks should extend to the debtor book.

Assume an exporter carries a whole-turnover trade credit policy with buyer-wise limits across a US-heavy book. Three mechanics decide whether the programme survives a jurisdiction-wide squeeze.

First, limit withdrawal. Commercial trade credit insurers manage their own aggregation, and they can typically reduce or cancel credit limits on future shipments for named buyers or whole markets when conditions deteriorate. In a tariff episode, the insurer sees the same correlation you do, and the rational underwriting response is to cut limits on the affected jurisdiction precisely when the exporter needs them most. Cover on already-shipped goods usually stands, but the forward book can go bare within weeks.

Second, discretionary limits and waiting periods. Smaller US buyers often sit under a discretionary credit limit rather than an insurer-approved one. In a correlated stress, claims on discretionary-limit buyers face harder scrutiny, and protracted-default waiting periods mean the cash gap lands on the exporter's working capital for months even when the claim ultimately pays.

Third, the maximum liability cap. Whole-turnover policies carry an aggregate cap, often expressed as a multiple of premium. A book where defaults arrive independently rarely tests that cap. A book where one policy shock pushes several buyers over at once can hit it, leaving the tail of losses uninsured exactly because they were correlated.

The practical response is to renegotiate the programme against the correlated scenario, not the average year: seek non-cancellable limits on the core US buyers, size the aggregate cap against a multi-buyer event rather than historical single losses, and document buyer financials so that limit decisions in a stressed market are contestable with evidence.

The ECGC versus commercial trade credit choice reads differently once the exposure is a correlated single-market book rather than a spread of independent buyers.

ECGC's shipment policies cover both commercial risk (buyer insolvency and protracted default) and political risk (transfer restrictions, import bans, government action in the buyer's country) as a combined package, and ECGC operates a country risk classification that drives cover terms by market. As a state-owned export credit agency, its mandate is export promotion, which in practice has meant more continuity of cover through stress periods than a purely commercial book would justify. For an exporter whose US concentration cannot be diversified away, that continuity has real value: the worst outcome in a tariff episode is not a declined claim, it is cover withdrawn from the forward book mid-crisis.

Commercial trade credit insurers offer advantages ECGC does not: higher limits on large individual buyers, faster limit decisions, non-cancellable limit endorsements for a price, and excess-of-loss structures for sophisticated programmes. But their portfolio management is the mirror image of the exporter's problem. A commercial insurer aggregates its own US exposure across every policyholder, so a jurisdiction-wide tariff event pressures its whole book, and limit reductions across the market are the standard response.

Political risk insurance and contract frustration cover face a structural problem after the past year: underwriters cannot insure a loss the insured already foresees, and US tariff action against Indian goods is now a documented, recurring pattern with a public history. A manuscript trade disruption policy naming a fresh US tariff schedule as the trigger will be priced brutally or declined, because the event is no longer remote.

That does not make the political risk market useless. It changes what is worth buying.

• Contract frustration cover on specific contracts still works where the contract predates the measure and the trigger is a defined government action preventing performance, such as an import ban or licence revocation, rather than a cost increase. A tariff that merely makes a contract uneconomic is generally not frustration; a measure that legally blocks the shipment can be.
• Non-payment cover tied to political events in the buyer's jurisdiction (transfer restrictions, moratoria) remains placeable because those events are still remote for the US, and it backstops the credit programme's political gap.
• Cover for third markets is where political risk budgets now earn more. The diversification effort that Outlook Business describes, exporters scouting newer markets, pushes receivables into jurisdictions with genuinely higher political risk than the US. Insuring the new Brazilian, Nigerian or Vietnamese buyer book is a better use of premium than trying to insure the next Section 301 announcement.

The honest framing for a board: the recurring-tariff scenario is now largely a retained risk. The insurable perimeter sits around it, on specific contracts, on political non-payment, and on the newer markets the diversification push is opening. Pretending a policy exists for the headline scenario wastes a renewal cycle.

The headline rate falling to 10% created a sense that tariff risk was decaying. The sector-level record says otherwise. Business Standard reported on 19 August 2026 that the US has separately imposed 25% to 55% safeguard tariffs on quartz surface products, a targeted action running well above the general rate and landing on exporters heavily dependent on the American market for that product line. The insurance consequences for quartz exporters, from buyer limits to slabs stranded in US warehouses, are worked through separately.

This is the second layer of concentration that portfolio reviews miss. An exporter can show a respectable market split at company level and still have one product line that is 80% dependent on one destination. Safeguard and anti-dumping actions are product-specific by design, they move on their own legal track regardless of the bilateral relationship, and they arrive with rates that no margin structure absorbs. A 10% duty is a pricing negotiation with the buyer. A 55% duty is a stopped order book.

For credit risk, a sector safeguard action is arguably worse than a general tariff because it is concentrated on a small buyer population. The US importers of Indian quartz surfaces all face the same duty, all reprice or cancel at once, and several of them are likely to be significant debtors of the same Indian exporters. The correlation problem from the portfolio section reappears in miniature and with higher severity.

The review discipline that follows: map export concentration at product-line level, not just entity level, and track US trade remedy investigations (safeguard, anti-dumping, countervailing duty) touching your HS codes as credit events in the making, because the petition is public months before the duty lands. That monitoring window is the one place where this risk is still foreseeable early enough to act, by tightening credit terms, taking deposits, or shortening open account tenors on affected buyers before the measure takes effect.

Boards have treated the tariff year as a strategy question, and tariff realignment already sits on the board agenda as a geopolitical item. The credit dimension needs its own numbers. Before the next trade credit renewal, a US-concentrated exporter should be able to put five figures in front of an underwriter and a board.

1. US receivables as a share of total receivables, not just US sales as a share of revenue. Payment terms differ by market, and the debtor-book concentration is usually higher than the sales concentration.
2. The five-buyer correlated loss: the gross loss if the five largest US buyers entered protracted default in the same two quarters, netted against current insured limits and the policy's aggregate cap. This is the scenario a tariff spike creates, and most programmes have never been tested against it.
3. Product-line concentration by destination, flagging any line above roughly 60% dependence on one market, with open trade remedy investigations against those HS codes noted alongside.
4. Cancellable versus non-cancellable limits across the US book, because the split determines how much of the forward programme survives a stress event.
5. The uninsured tail: what falls outside cover entirely, discretionary-limit buyers, amounts above buyer limits, and the excess over the aggregate cap, priced as retained capital.

A year of data has settled the empirical question. The US share of India's exports is about 20% and stable, diversification is a slow variable, and tariff action is a recurring feature of the corridor. The exporters who come through the next episode intact will not be the ones with the best diversification slide. They will be the ones whose credit programme was structured, limit by limit, against the correlated version of the loss.