When Credit Expansion Becomes a Risk to the Economy

Analysis of the thresholds beyond which credit expansion becomes a source of macroeconomic risk.

When Credit Expansion Becomes a Risk to the Economy

Credit supports activity as long as its expansion remains sustainable. Beyond a certain threshold, it becomes a source of vulnerabilities. This shift is gradual and often invisible. It is frequently confused with a normal phase of growth. The accumulation of financial risks precedes economic strains. Identifying this point is a central analytical challenge.

Credit is not intrinsically dangerous. Its excess is. The difficulty lies in identifying the moment when support to activity turns into the accumulation of fragilities.

Indicators of Credit Overheating

Economic research has identified several metrics for assessing credit excess. The most documented is the credit-to-GDP gap: the difference between the observed credit-to-GDP ratio and its long-term trend.

The BIS publishes this indicator quarterly for the major economies. A gap above 10 percentage points has historically signalled a high probability of financial strains within 2 to 3 years. Spain crossed it by a wide margin before the 2008 crisis (47.3 points in Q2 2007), the United States narrowly (11.6 points at end-2007). In the United Kingdom the gap had exceeded 10 points in 2002-2003, then fell back below the threshold on the eve of the crisis (5.8 points at end-2007).

At end-2025 the picture was the reverse. According to the BIS, none of the 44 economies it tracks was above 10 points in Q4 2025, and most advanced economies showed a negative gap: −15.5 points in France, −18.1 in the euro area, −11.6 in the United States, −8.7 in South Korea, −38.6 in Sweden. The highest positive gaps were Saudi Arabia (7.2) and Japan (5.9). A negative gap says aggregate credit is growing more slowly than its past trend; it says nothing about the quality of each segment.

Speed of Expansion as a Signal

Beyond the absolute level, the pace of credit accumulation provides a complementary signal. Credit growth exceeding nominal GDP growth by 5 points over several years mechanically raises the debt ratio. This dynamic fits within a phase of rising financial vulnerabilities.

This dynamic becomes problematic when it rests on looser lending standards rather than improving fundamentals. Credit then grows faster than borrowers’ repayment capacity.

The take of the credit cycle and its phases shows that periods of rapid credit growth generally precede turning points, with a variable lag across economies.

Qualitative Signs of Excess

Quantitative indicators do not capture every dimension of risk. Qualitative signals complement the analysis.

Looser lending standards constitute a major warning signal. When banks accept profiles they would have rejected a few years earlier, the average risk of the portfolio rises. Bank surveys allow this evolution to be tracked.

Lengthening loan maturities sometimes mask a deterioration in solvency. A borrower who cannot repay over 20 years but can over 30 has not become more solvent: their risk has been spread over time.

Rising asset prices financed by credit signal a self-reinforcing loop. Credit pushes prices up; high prices justify more credit. This spiral characterises the late stages of cycles.

The study of financial leverage and systemic fragility details these amplification mechanisms.

Why the Threshold Is Difficult to Identify in Real Time

The shift from supportive credit to risky credit is not accompanied by an obvious signal. The economy appears to prosper. Defaults remain contained. Prices rise. These reassuring symptoms mask the accumulation of vulnerabilities.

The paradox of tranquillity, formulated by economist Hyman Minsky, describes this dynamic. Stability breeds complacency. Complacency encourages risk-taking. Accumulated risk-taking generates future instability.

Crises rarely arrive when leading indicators are flashing red. They emerge after periods when everything appeared under control. This feature makes threshold identification particularly delicate.

What the Consensus Tends to Overlook

Economic projections rarely incorporate rupture scenarios linked to credit excess. They generally assume continuity of observed trends. This approach underestimates tail risks.

The distribution of possible outcomes is not symmetric. Credit expansion can continue for a long time without visible incident. But when correction comes, it generally exceeds expectations built on extrapolation.

This asymmetry implies that analyses centred on the median scenario miss an essential portion of the risk. Credit excess does not show up as a gradual slowdown but as discontinuous ruptures.

Factors That Modify the Threshold

The level beyond which credit becomes dangerous varies across economies and contexts. Several factors influence this threshold.

The structure of financing plays a role. An economy where credit is mostly fixed-rate and long-term withstands a higher ratio better than one with variable-rate and short-term lending.

Collateral quality matters. Credit backed by liquid and properly valued assets carries less systemic risk than credit secured on illiquid or overvalued assets.

The distribution of debt influences resilience. Debt concentrated on fragile borrowers generates more risk than debt diffuse across solid profiles, at equivalent aggregate levels.

Synthetic Indicator to Monitor

The credit-to-GDP gap published quarterly by the BIS constitutes the reference indicator for assessing credit excess. This logic is addressed in the dynamic of property prices facing rate moves. Tracking it allows an economy to be situated within the cycle and risk zones to be anticipated.

This indicator gains from being complemented with surveys on lending standards and asset price trends. The conjunction of an elevated gap, looser criteria and sharply rising asset prices signals a high-risk configuration.

In early 2026, this configuration was not generalised but certain segments (commercial property in several countries, consumer credit in others) displayed warning signals.

What This Question Implies

Identifying the moment when credit shifts from support to risk is not a matter of prediction but of probability assessment. Available indicators do not give a binary answer. They give gradients of risk.

This uncertainty does not justify analytical inaction. It calls for a nuanced reading, attentive to signals of accumulation rather than triggers alone. The credit cycle is characterised by phases where risk accumulates invisibly before suddenly materialising.

The relevant question is not “is credit excessive today?” but “how fast are vulnerabilities accumulating, and how much margin remains before the danger zone?”. This formulation acknowledges the uncertainty while maintaining analytical rigour.

Last updated — 6 October 2026