Yesterday's Rate on Tomorrow's Roll

The subscript that separates what the bank locked in from what the market now demands — and why every ladder, convention, and refunding calendar moves the cost of funds by dozens of basis points

Financial Risk Academy
ALM FTP Funding Cost Treasury

A two-year tranche issued eighteen months ago is still paying the spread it agreed to at issuance. Thirty-four basis points over the benchmark — that was the number on the term sheet, and that is the number leaving the bank's account every quarter. But the risk model reads today's spread, and today's two-year wholesale paper trades at fifty-one basis points. The accounting system, meanwhile, faithfully records thirty-four. When the treasurer asks "what does our wholesale funding cost?", which number answers? And does the answer change if the question is about pricing a new loan versus measuring the cost of the existing book?

This is not a philosophical distinction. The gap between those two numbers can be twenty, thirty, sometimes fifty basis points wide. It depends on how many tranches are outstanding, when they were issued, and what the market has done since. Get the subscript wrong and the entire transfer-pricing chain inherits the error — silently, persistently, and in a direction that flatters the business when spreads are widening and punishes it when they tighten.

To make this concrete, the numbers here come from a single illustrative institution — call it Avelmont — with a wholesale funding ladder and a simple question: what does the next loan actually cost to fund?

• • •

The subscript problem: St versus Ss

Every funding-cost model contains a spread variable, and every spread variable carries a subscript. The subscript determines which spread the model reads. There are two plausible choices, and they answer different questions.

St — the current factor

Mark every outstanding tranche to today's market level. If spreads have widened since issuance, the model says funding is expensive — regardless of whether the bank locked in a lower rate months or years ago. St treats the entire book as though it were being re-issued this morning. The logic is forward-looking: what would it cost to replace this funding if it matured today?

Ss — the historical strike

Each tranche keeps the spread agreed at issuance. The eighteen-month-old two-year tranche holds its thirty-four basis points until it matures. The six-month note issued last quarter holds whatever the market charged last quarter. Ss is backward-looking: it reflects what the bank actually pays, not what the market would charge if the bank went back today.

Which one is right? Both — for different purposes. For transfer pricing on new loans, St is the correct read. New loans must be priced at what funding costs now, not what it cost a year ago. For P&L attribution on the existing book, Ss reflects reality: the bank is not paying today's spread on yesterday's tranche. The gap between St and Ss widens as tranches age and market conditions change. In calm-to-crisis transitions, the gap can be tens of basis points wide.
The subscript problem: two readings of the same book Sₜ — Current factor time 51 bps 2Y (18m ago) 51 bps 1Y (6m ago) 51 bps 6M (3m ago) 51 bps 3M (1m ago) All at market Sₛ — Historical strike time 34 bps 2Y (18m ago) 19 bps 1Y (6m ago) 14 bps 6M (3m ago) 11 bps 3M (1m ago) Each at issuance GAP
Figure 1 — St reads every tranche at today's market; Ss reads each tranche at the spread it locked in. The gap between them widens when the market moves away from historical issuance conditions.
• • •

The paradox: longer money costs more but rolls less

The term structure of wholesale spreads slopes upward. Three-month paper trades at 9 basis points over the benchmark. Two-year paper trades at 34. The longer the tenor, the more the bank pays per unit of time. This is the level effect: it says longer money is dearer.

But there is a second force pulling in the opposite direction. A two-year tranche refunds 0.5 times per year. A three-month tranche refunds four times. Every refunding event is a repricing event — a moment when the bank returns to the market and discovers whatever spread the market is now charging. More rolls mean more chances to catch a crisis. This is the frequency effect: it says longer money is cheaper, because the bank faces fewer moments of exposure to market conditions.

Which dominates? Consider a tail scenario where spreads spike. The short tranche has a smaller base spread, so the absolute increase in cost per roll is smaller. But the short tranche rolls so often that it catches the spike multiple times — while the long tranche, if it happens to mature during the calm period, misses the crisis entirely. Multiply a small shock by sixteen annual market-access events and compare it to a large shock multiplied by half an event. The answer depends on the curve shape and the volatility structure, and it is not obvious in advance which way it goes.

Two opposing forces on the cost of tenor Level Effect Longer tenor = bigger base spread Bigger base x tail shock = bigger absolute cost in crisis Longer = dearer Frequency Effect Longer tenor = fewer rolls Fewer rolls = fewer repricing events exposed to crisis Longer = cheaper Net effect depends on curve shape and volatility structure vs
Figure 2 — The level effect and the frequency effect pull in opposite directions. The net cost of extending tenor is not monotonic — it depends on the interaction between the spread curve and the number of repricing events.
• • •

Four ladders, same premises, different answers

To see how these forces play out in practice, consider four funding strategies for Avelmont, all starting from the same balance sheet, the same spread curve, and the same volatility parameters. The only thing that changes is the ladder — the mix of tenors in the wholesale funding book.

Ladder Turnover (rolls/yr) Tail spread (bps) MCoF (bps)
All 3-month 16 24 419
Mixed (Avelmont, 2.35 turns) 2.35 42 437
All 1-year 1 59 454
All 2-year 0.5 91 486

The cost of funds ranges from 419 to 486 — a sixty-seven basis-point spread — from the ladder choice alone. Same bank, same assets, same market. The only variable is how often the wholesale book turns over and at what tenor.

But the table tells an incomplete story if you read only the cost column. The all-three-month ladder wins on expected cost — but it requires sixteen market-access events per year. Every single one is a chance for spreads to spike, for the market to shut, for an operational failure to cascade into a liquidity event. The all-two-year ladder costs sixty-seven basis points more but refunds only twice per year. It buys stability at a price.

The trap: the cheapest ladder is not the best ladder. If the bank cannot reliably access the wholesale market sixteen times per year — in all market conditions, including stress — then the cost savings of the short ladder are illusory. The tail risk is not in the spread model. It is in the market-access assumption.
Four ladders: tail spread vs total marginal cost of funds Basis points 0 100 200 300 400 500 24 419 All 3M 42 437 Mixed 59 454 All 1Y 91 486 All 2Y Tail spread Total MCoF
Figure 3 — The four ladders produce a 67 bps range in total marginal cost of funds. The tail spread rises with tenor, but the all-3M ladder's low tail hides its high operational exposure to sixteen annual refunding events.
• • •

Building the refunding schedule by hand

The numbers in the previous table emerged from a model. But the model rests on a physical reality: at any point in time, the bank has tranches outstanding at different tenors, issued on different dates, each carrying the spread agreed at issuance. This is the refunding schedule, and it is worth building by hand at least once to see what the model is actually doing.

Consider Avelmont's wholesale book at month 18. The mixed ladder has the following tranches outstanding:

Tranche Issued Strike (bps) Status at month 18
3M Month 17 11 1 month to go
3M Month 15 8 Matured, already rolled
6M Month 12 14 Maturing at month 18
1Y Month 6 19 Maturing at month 18
2Y Month 0 34 6 months to go

The blended cost of the standing book is the weighted average of these strikes. If each tranche funds an equal share of the balance sheet, the blended strike at month 18 is somewhere around 17 basis points — well below today's market of 51. The bank is, in effect, still benefiting from spreads it locked in months ago.

But the cost for pricing a new loan is not 17. It is whatever the market charges today for the tenor the bank will issue to fund that loan. The new loan must earn today's spread, not yesterday's. This is exactly the St versus Ss distinction, made tangible in a single snapshot of the book.

Avelmont's refunding calendar at month 18 Timeline (months) Spread (bps) 0 3 6 9 12 15 17 18 24 NOW 2Y tranche — 34 bps (month 0 to 24) 1Y tranche — 19 bps (month 6 to 18) 6M — 14 bps (m12-18) 3M — 8 bps 3M — 11 Blended ~17 bps Market: 51 bps Standing cost (Sₛ) Pricing cost (Sₜ)
Figure 4 — Each bar represents a tranche at its issuance spread. The blended standing cost (Ss) is far below the current market (St). The gap is the subscript problem made visible.
• • •

What the reset convention is worth

When a tranche matures and the bank returns to the market, the new tranche picks up whatever spread the market is charging. This is a clean roll — full repricing at each refunding event. The bank bears the entire curve at each turn of the ladder.

But not all funding behaves this way. Some structured facilities reset on a different schedule — annually, regardless of the tranche's maturity. A two-year facility with annual resets reprices once at the one-year mark, locking the second year's spread at that point. This is contractual reset: partial repricing, decoupled from the maturity calendar.

The difference between these two conventions is not trivial. Depending on the ladder and the volatility environment, the gap can be five to fifteen basis points. In Avelmont's mixed ladder, the clean-roll convention produces a marginal cost of funds about eight basis points higher than the contractual-reset convention, because the clean roll exposes every refunding event to current market conditions, while the contractual reset locks spreads at intervals that may not coincide with market stress.

Why it matters for pricing: the convention determines how much of the spread curve the bank actually pays. If the transfer-pricing model assumes clean rolls but the bank's actual funding resets contractually, the model overcharges the loan. If it assumes contractual resets but the funding is pure wholesale with clean rolls, it undercharges. Either mismatch flows straight into the lending margin — invisible on day one, cumulative over the portfolio's life.

Most wholesale funding operates on clean rolls. But the moment a bank taps structured facilities, bilateral lines, or private placements with non-standard reset features, the convention becomes a pricing decision that deserves explicit documentation and governance — not an assumption buried in a spreadsheet.

• • •

Two-thirds of the effect is structural

Here is an experiment worth running. Take the spread model and remove the drift: set the mean-reversion target equal to the current level so that spreads have no expected direction. In this flat-spread world, is the gap between St and Ss still there?

It is. The gap shrinks by about one-third, but two-thirds of the effect survives. The surviving piece is structural — it comes from the simple fact that a tranche issued eighteen months ago was issued in a different market, and its price is frozen there. Even if the market has not trended in any direction, random fluctuations since issuance mean that the average strike on the standing book will differ from today's spot. The only way to eliminate the gap entirely is to have all tranches issued at exactly today's spread — which requires either instantaneous rollover or zero volatility. Neither exists.

The structural component does not require a trending market. It requires only that time has passed and spreads have moved — in any direction, by any amount. The subscript choice matters even when the market is going nowhere.

The implication is practical: a bank that dismisses the St/Ss distinction because "spreads are stable right now" is still making a choice worth tens of basis points. The distinction does not disappear in calm markets. It only shrinks by a third.

• • •

Policy implications: the ladder as a governance choice

The ladder is not a market outcome. Nobody forces a bank to fund at three months or two years. The tenor mix is a policy decision, made by the ALCO or the treasury committee, and it reflects a set of trade-offs that deserve explicit articulation:

What matters for governance is not which ladder the bank picks. It is that the bank names the convention — St or Ssmeasures the gap between them, reports it to the appropriate committee, and owns the choice. A treasury that cannot state which subscript its transfer-pricing model uses is a treasury that does not know what its funding costs.

The governance minimum: every FTP framework should document (1) which subscript the model uses, (2) what the current gap between St and Ss is, (3) how the ladder was chosen, and (4) how often the choice is revisited. If none of these questions have a written answer, the model is pricing in the dark.

A bank that loads on short money saves on expected cost but concentrates repricing risk in frequent rolls. A bank that extends tenor pays a higher base but smooths the repricing over fewer events. The right answer depends on the institution's risk appetite, its market access, and the shape of its balance sheet. What is never the right answer is picking a ladder by inertia and never examining what it implies for the cost of funds.

• • •

The subscript is a single letter in the model's notation. St or Ss — one character of difference. But the gap between reading today's spread and yesterday's strike can move the cost of funds by twenty or more basis points. Most transfer-pricing implementations do not even name the choice. They pick one subscript and never revisit it. The ladder gets inherited from a predecessor. The reset convention gets buried in a system configuration. And the bank goes on pricing loans against a cost-of-funds number whose provenance nobody can trace.

The ladder and the convention deserve the same governance attention as the spread model itself. They are not ancillary inputs. They are structural choices that determine what the model sees when it looks at the book. A model that reads the wrong spread with perfect precision is still reading the wrong spread.

Because a model that prices the wrong spread precisely is still pricing the wrong spread.

The worked example uses Avelmont, a fictional institution, with illustrative parameters calibrated to public data. The approach described is one way — not the only way — to think about the relationship between the funding ladder, the reset convention, and the transfer price. Practitioners should adapt the framework to their own balance sheets and market conditions.

Continue Learning

FTP and All-In Loan Pricing

Build a bank's all-in transfer price from the ground up.

This course takes you inside the mechanics of Funds Transfer Pricing — from constructing the funding curve and modeling deposit behavioral maturity, to layering in the liquidity term structure, contingent buffer costs, expected credit loss, and capital charges for IRRBB. You'll build each component in hands-on labs on a live balance sheet, learning to price loans incrementally and defend every basis point to ALCO. Designed for ALM practitioners, treasury professionals, and risk managers in both developed and emerging markets.

Intermediate · 9 phases · 56 lessons · 18 labs · 12 deep dives · 10h · Instructors: Andre Camatta & Diogo Gobira

Top