BIS Working Paper 1378, dated 17 September, studies how disruptions in Strait of Hormuz shipping relate to prices, output and financing conditions. It uses ship-movement data and distinguishes causes of traffic changes. Its findings do not establish any individual company’s route exposure or quantify that company’s potential losses.
Event / source publication date: 17 September 2026The following is Human Fintech’s analysis
Put the shipment and payment calendars together.
A lender financing imported inventory should compare the physical delivery schedule with contractual cash commitments. The supplier may already have received an advance while interest accrues and sales remain impossible until goods arrive. A delay can then increase financing needs without any change in end-customer demand. The relevant exposure is visible in the borrower’s transaction timetable, not simply its industry classification.
Consider an illustrative case in which a customer accepts later delivery at the original price. The trade may remain profitable even as the borrower runs short of liquidity. A useful model separates the reduction in margin from the extra days of funding and the peak cash requirement. That distinction helps a credit team evaluate the actual problem before choosing a response.
Supplier diversity may conceal a shared dependency.
Several suppliers can rely on the same port, carrier or critical component. Start with the products that account for a meaningful share of the borrower’s cash generation and trace their delivery dependencies. Do not assume that research about one chokepoint establishes exposure elsewhere. Evidence about the company’s own supply chain is needed before drawing a credit conclusion or designing a contingency plan.
Overlay the payment process as well: required documents, settlement confirmation and the event that triggers the customer’s obligation to pay. These steps may change the timing of available cash independently of the shipment. Legal specialists should assess the agreements, while the operating model shows how each milestone affects funding availability and the borrower’s ability to meet its scheduled obligations.
A contingency facility must be usable in the scenario.
If the response assumes additional borrowing, test the conditions for accessing it. Identify the evidence required, the approval lead time and the eventual repayment source. A nominally available line may be of limited practical use when its documentation depends on the very shipment that is delayed. Discovering that dependency in advance is more valuable than increasing a theoretical liquidity buffer.
The output should be a small set of cash-cycle scenarios with agreed actions, such as updating collection forecasts, changing the next purchase order or revisiting the funding structure. The choice depends on the borrower’s economics and evidence. International research can justify closer investigation of a dependency; it cannot replace customer-level analysis or establish one appropriate restriction for an entire lending portfolio.
White Fintech.
Parts II–III of White Fintech cover lending economics, funding and risk management: a foundation for further reading about the lending business.
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