From Systemwide Scenarios to Better Financial-Stability Decisions

The IMF's systemwide stress-testing approaches answer a practical question: when a financial shock crosses the boundaries between banks, nonbank financial intermediaries (NBFIs), clients, markets, and countries, what should a policymaker examine before deciding that the risk is contained? This final chapter connects the exposure map, the liquidity-feedback mechanism, and the two base tools to their stated setting in Financial Sector Assessment Programs (FSAPs). It also draws the necessary boundary around the conclusion: these tools can make amplification channels visible and support comparison of scenarios, but the public description does not turn them into a universal forecast.

The reason to keep that distinction is not academic caution for its own sake. A financial-stability decision is made under uncertainty about who will respond, how quickly they will respond, and whether markets will absorb those responses. A systemwide stress test is valuable when it makes those uncertainties more structured. It shows which relationships matter under a stated scenario, which feedbacks could worsen the outcome, and which missing data or assumptions deserve attention. It is less valuable when a precise-looking output hides the path that produced it.

The decision question is relational

The central question is not whether banks or NBFIs are individually important. Both can be important for different reasons, and neither category is uniform. The question is whether their positions and reactions meet in ways that can amplify stress. The IMF's paper places banks, NBFIs, market-based finance, and their clients in the same system because shocks can spread through them. It also identifies cross-sector and cross-border amplification as a reason to develop systemwide tools.

That framing changes the interpretation of a familiar stress result. Imagine that a bank can absorb the direct loss from a fall in asset prices. If a client uses the same asset as collateral, if an investment fund must sell it to meet redemptions, or if a foreign counterparty withdraws funding, the bank may face a second problem that was not present in the direct-loss calculation. The issue is not that the bank's first calculation was wrong. It was answering a narrower question. A systemwide exercise asks whether the bank's position changes because other actors are responding to the same shock.

The reverse can happen as well. An NBFI may be outside the bank's immediate regulatory perimeter but still affect the bank through a common market, a financing relationship, or collateral. If the NBFI sells into a falling market, the price effect can reach banks and clients that never had a direct relationship with the fund. If the fund does not sell, the potential channel may never activate. The systemwide lens therefore follows dependencies and behavior rather than assuming that institutional proximity or legal classification is a sufficient guide to importance.

This is why “model banks and NBFIs together” should not be read as “give every sector the same model.” The sectors can differ in funding structures, obligations, liquidity needs, and responses. A bank's funding withdrawal, a fund's redemption, and a client's collateral demand are not identical events. Their significance lies in the possibility that they draw on the same assets, markets, or sources of liquidity at the same time. A useful systemwide model preserves the differences while representing the connections.

The cross-border dimension reinforces the point. A domestic institution may rely on foreign funding, hold assets priced in another market, or serve a client whose financing is international. A stress event may travel through prices or collateral even when no legal entity moves across a border.