Overview

This chapter uses a stripped-down model to show how a mean-preserving increase in exchange-rate-return variance can reduce foreign supply, lower the secondary-market price, raise spreads, and reduce U.S. bank origination when holding costs are convex. It then reads the Federal Reserve’s July 2026 SLOOS as a product-specific snapshot: domestic-bank C&I standards were broadly unchanged, while terms and demand varied across categories. The survey lacks the volatility and exposure measures needed for causal attribution.

Learning outcomes

In the model, a mean-preserving spread in exchange-rate returns can reduce foreign funding even when the average return is unchanged.
Convex holding costs make a secondary-market funding shock reduce origination and raise the primary-loan spread at a bank with market power.
The July 2026 SLOOS is descriptive and selective: domestic-bank C&I standards were broadly unchanged, while conditions differed by product, borrower type, and bank type; it does not test dollar volatility’s causal role.

Keywords

Mean-preserving spreadSLOOSOriginationHolding costsStandardsDemand

A Simple Model, and a Real-Time Test

The exchange-rate uncertainty channel becomes most useful when it can guide interpretation without pretending to forecast every credit move. This chapter first turns the empirical story into a compact model of loan origination and secondary-market funding. It then applies the same distinctions to the Federal Reserve’s July 2026 Senior Loan Officer Opinion Survey (SLOOS). The model explains why fewer loans and higher spreads can coexist; the survey shows how current credit conditions can be selective. Neither, on its own, proves that dollar uncertainty caused the latest lending decisions.

The model makes the price-and-quantity result explicit

The paper’s model has three stages. At time 0, a representative large U.S. bank originates new dollar loans for corporate borrowers. At time 1, it takes some of those loans to the secondary market and tries to sell or finance them with participating lenders. At time 2, the loans are liquidated and the balance sheet is settled. This is a deliberately stripped-down setting, but it preserves the sequence that matters: the bank chooses origination before it knows exactly how easily the market will absorb the exposure.

The U.S. bank begins with existing loans, deposits and debt, securities, and equity. Its size gives it some market power in originating new dollar loans, and its relationships give it an advantage in serving corporate borrowers. A borrower’s demand for new loans slopes downward: the bank can issue a larger quantity only by accepting a lower price per unit, or equivalently a lower effective rate in the model’s notation. The bank earns a commission or origination return, so it would like to make more loans. But it also faces a convex holding cost when loans remain on its books. Each additional unit of retained exposure is more burdensome than the last.

That convexity is the model’s way of representing a range of real constraints without trying to model each one separately. A bank may have to fund the asset, preserve regulatory capital, satisfy internal risk limits, or absorb the cost of carrying a loan that it expected to distribute. The model does not claim that these costs are identical in practice. It says that the marginal cost of failing to off-load a growing pipeline can rise sharply. The bank therefore wants both a healthy origination flow and a functioning secondary market.

Foreign banks enter at the secondary-market stage with funds denominated in their local currencies. They can keep those funds in a domestic investment that offers a benchmark return, or they can place them in dollar-denominated syndicated loans. Their return from the second choice depends on the loan price and on the realized exchange-rate return when dollar proceeds are translated back into local currency.

The model makes a specific assumption about uncertainty. Foreign-bank managers face a penalty when realized profits fail to deliver a minimum return to the institution. The penalty can stand for financing pressure, an equity-issuance cost, a debt covenant, or an organizational cost of losses. The model’s foreign banks are otherwise risk-neutral, but the penalty makes the downside matter. A manager who would accept a dollar loan when the exchange-rate return is stable may decline it when the same average return comes with a wider range of possible outcomes.

This is a mean-preserving spread. The mean exchange-rate return stays fixed, while the distribution becomes more dispersed. The exercise isolates the second moment: the average payoff is not the reason for the change; the greater chance of a sufficiently poor realization is. The assumption is important.

Published by DeepMox

FAQ

What is a mean-preserving spread in this model?

A mean-preserving spread widens the distribution of exchange-rate returns while leaving the mean return unchanged. In this model, the wider downside makes a foreign manager’s loss penalty more likely to bind.

Which assumptions make volatility reduce foreign lending in the model?

The model assumes foreign managers face a penalty when returns fall below a minimum and can choose a domestic outside option. Greater dispersion then makes dollar loans less attractive for some managers even at the same average return.

How do standards, terms, and demand differ in the July 2026 SLOOS?

Standards determine whether an application is approved, terms set conditions after approval, and demand reflects whether borrowers seek more or less credit. The survey can show these measures moving differently without contradiction.

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U.S. Bank Lending: Model and July 2026 SLOOS

A Simple Model, and a Real-Time Test

The model makes the price-and-quantity result explicit

FAQ