LCR vs. NSFR
Executive Summary
Key Takeaways
- ✓ The LCR tests short-term survival under a defined 30-day acute stress scenario; the NSFR tests structural funding stability over a one-year horizon — different questions over different time frames.
- ✓ The LCR's numerator is high-quality liquid assets; the NSFR's numerator is available stable funding — the two are not interchangeable components despite both appearing on the "liquidity" side of a bank's risk profile.
- ✓ A bank can satisfy one standard while facing pressure on the other, since a strong short-term liquid asset buffer does not guarantee a stable longer-term funding structure, and vice versa.
- ✓ Both ratios should be modelled and reported as distinct outputs, drawing on the same underlying deposit and asset segmentation, rather than collapsed into a single blended liquidity metric.
- ✓ Neither ratio is calculated or validated by FMAE itself — both should be represented in a model as visible, sourced assumptions consistent with the applicable regulatory framework.
Objective¶
This comparison sets out the differences between the Liquidity Coverage Ratio and the Net Stable Funding Ratio, the two Basel III liquidity standards, within the Banking Financial Modelling pillar.
Side-by-Side Comparison¶
| Dimension | Liquidity Coverage Ratio (LCR) | Net Stable Funding Ratio (NSFR) |
|---|---|---|
| Time horizon | 30 calendar days | One year |
| What it tests | Short-term survival under acute stress | Structural funding stability |
| Numerator | High-quality liquid assets | Available stable funding |
| Denominator | Net cash outflows under the stress scenario | Required stable funding |
| Primary risk addressed | Immediate liquidity crisis | Over-reliance on short-term wholesale funding for longer-term assets |
Why Both Are Needed¶
A bank can satisfy one standard while facing pressure on the other. A strong buffer of high-quality liquid assets can satisfy the LCR while the bank's funding structure remains over-reliant on short-term wholesale funding relative to its longer-term loan book — a structural vulnerability the NSFR is designed to catch but the LCR would not flag. The reverse is also possible: a stable, long-term funding profile satisfying the NSFR does not guarantee sufficient immediately available liquid assets to survive a sudden 30-day stress event.
Shared Underlying Data, Different Factors Applied¶
Both ratios draw on the same underlying segmentation of deposits, funding sources, and asset tenor already built in Deposit Modelling and Loan Portfolio Modelling, applying different prescribed factors to that same segmented data — stress run-off rates for the LCR, and stability/required-funding factors for the NSFR. A model that maintains this segmentation consistently across both calculations avoids the two liquidity metrics silently diverging from a single, shared source of balance sheet detail.
Continue Reading¶
Prerequisites¶
- Liquidity Coverage Ratio — the parent guide
- Net Stable Funding Ratio
Related Technical Guides¶
Related Glossary¶
How OXXON tests thisRun a free structural check with FMAE
Frequently Asked Questions
What is the core difference between the LCR and the NSFR?
The LCR tests whether a bank can survive a defined 30-day acute stress scenario using its stock of high-quality liquid assets; the NSFR tests whether the bank's longer-term assets are backed by a stable enough funding profile over a one-year horizon — different questions over different time frames.
Can a bank pass one standard and fail the other?
Yes — a bank could hold a strong buffer of high-quality liquid assets sufficient to pass the LCR while still carrying a funding structure over-reliant on short-term wholesale funding relative to its longer-term assets, which the NSFR would flag but the LCR would not, and vice versa.
Why should both ratios be modelled separately rather than combined?
Because they measure different things using different components — the LCR's numerator is a stock of liquid assets, the NSFR's numerator is a weighted measure of funding stability — and collapsing them into a single blended metric would lose the distinct risk signal each is designed to capture.
Do the two ratios share any underlying model inputs?
Yes — both draw on the same underlying segmentation of deposits, funding sources, and asset tenor already built in deposit modelling and loan portfolio modelling, applying different prescribed factors (run-off rates for the LCR, stability and required-funding factors for the NSFR) to that same segmented data.
Which ratio is more relevant for a shorter-term credit assessment?
The LCR, since it directly tests near-term survival capacity; the NSFR is more relevant to assessing whether the bank's funding structure is sustainable over a longer horizon, relevant to longer-dated credit or investment decisions.
Does FMAE calculate or validate either ratio?
No — FMAE structurally audits a model's own formulas and logic, not the underlying regulatory liquidity calculations. Both ratios should be represented in a model as visible, sourced assumptions consistent with the applicable regulatory framework.
References
Related Articles
Liquidity Coverage Ratio
The liquidity coverage ratio (LCR) tests whether a bank holds enough high-quality liquid assets to survive a defined 30-day acute stress scenario. This guide covers how to model the LCR's two components — the stock of high-quality liquid assets and net cash outflows under the stress scenario — and how the deposit and funding behavioural assumptions built elsewhere in the model feed directly into the outflow calculation.
Net Stable Funding Ratio
The net stable funding ratio (NSFR) tests whether a bank's longer-term assets are backed by a stable enough funding profile over a one-year horizon, complementing the short-term liquidity coverage ratio. This guide covers how to model the NSFR's two components — available stable funding, weighted by the behavioural stability of each funding source, and required stable funding, weighted by the tenor and liquidity of each asset — and how it connects to the balance sheet forecast and deposit modelling already built elsewhere in the model.
Deposit Modelling
Deposit modelling is the liability-side counterpart to loan portfolio modelling: deposits should be segmented by product type — transactional, savings, and term — each carrying its own volume, cost, and behavioural assumptions. Behavioural modelling matters more on the deposit side than almost anywhere else in a bank model, since a deposit's contractual maturity (or lack of one, for transactional accounts) frequently does not match its actual behavioural stickiness, and that gap is central to both funding and liquidity risk management.
Loan-to-Deposit Ratio
The loan-to-deposit ratio compares total loans to total deposits, giving a core indicator of how much of a bank's lending is funded from its deposit base versus wholesale or other funding sources. A ratio above 100% means the bank is lending more than it holds in deposits, funding the difference through wholesale markets — a funding structure that carries more refinancing and liquidity risk than deposit-funded lending.