When Credit Expansion Becomes a Risk to the Economy
Credit supports activity until it doesn’t. Beyond a certain threshold, expansion turns from a growth driver into an accumulation of vulnerabilities — a shift that is gradual, often invisible, and difficult to identify in real time.
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. This threshold was crossed before the 2008 crises in Spain, the United States and the United Kingdom.
At end-2025, several advanced economies displayed gaps close to this critical threshold without clearly exceeding it. France stood around 8 points, Sweden at 12 points, South Korea at 15 points. These levels call for heightened vigilance without signalling an imminent crisis.
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 analysis 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 analysis 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.
- A credit-to-GDP gap above 10 points constitutes the most documented warning threshold for anticipating financial strains.
- The speed of expansion and looser lending standards provide complementary qualitative signals.
- The shift to credit excess generally occurs in a context of apparent stability, making real-time identification difficult.
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 — 26 May 2026
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