TED Spread¶
A historical money-market stress indicator equal to the three-month unsecured U.S.-dollar interbank rate minus the matched three-month U.S. Treasury-bill yield.
Core Idea¶
The TED Spread is a historical U.S.-dollar money-market indicator formed by subtracting the yield on a three-month United States Treasury bill from the three-month unsecured interbank borrowing rate. In the operational series formerly published through FRED, the private-rate leg was three-month U.S.-dollar LIBOR and the public-rate leg was the three-month Treasury-bill secondary-market rate:
If both inputs are quoted as annualized percentage rates, the result is a percentage-point spread; multiplying that difference by 100 expresses it in basis points. A LIBOR reading of 5.50 percent and a Treasury-bill yield of 5.10 percent therefore produce a TED Spread of 0.40 percentage points, or 40 basis points.
Scope of Application¶
TED Spread travels literally wherever the same two benchmark legs, tenor, currency, and subtraction convention are being used. Its scope is instrument-bound rather than metaphorical.
- Money-market monitoring. Traders and analysts used the daily gap to summarize the pricing separation between unsecured dollar bank funding and Treasury bills.
- Financial-stability surveillance. Central-bank and policy research placed TED among market-based stress indicators and financial-conditions inputs, especially during episodes when bank funding and safe-asset demand diverged.
- Crisis chronology. Historical studies use the spread to date and scale money-market dislocation.
Clarity¶
Use a five-question test before labeling a number TED:
- Is the private leg a three-month U.S.-dollar unsecured interbank rate?
- Is the comparator a three-month U.S. Treasury-bill yield observed on a compatible date?
- Is the calculation private rate minus Treasury yield?
- Is the result reported as percentage points or basis points?
- Is the benchmark regime stated—historical futures construction, LIBOR-based cash series, or a named successor rather than an undisclosed splice?
Manages Complexity¶
Money-market stress comprises interbank credit concerns, term-funding scarcity, collateral conditions, safe-asset demand, monetary-policy expectations, and microstructure. TED compresses their joint effect on two observable yields into one signed coordinate. The compression makes dates, regimes, and portfolios comparable without requiring the user first to estimate every latent component.
Abstract Reasoning¶
The subtraction licenses several disciplined inferences.
First, directional decomposition: \(\Delta TED=\Delta L-\Delta Y\). A wider spread can be decomposed into a higher unsecured rate, a lower bill yield, or both. This identity is arithmetic; causal attribution is not.
Second, relative-price interpretation: holding maturity, currency, date, and convention fixed, widening means the market price of unsecured bank term funding has increased relative to the Treasury-bill reference.
Knowledge Transfer¶
Within financial markets, the complete mechanism transfers directly across dates, portfolios, crisis studies, and research designs that preserve the same benchmark definition. An observation used by a trader and one used in an econometric model remain instances of TED because their roles and arithmetic match.
Across other currencies or benchmark pairs, transfer is usually shared abstract mechanism, not name identity. A private funding rate minus a government or near-risk-free reference instantiates Baseline Deviation and may function as a stress proxy, but its borrower pool, collateral, maturity, institutional regime, and safe-asset dynamics differ.
Relationships to Other Abstractions¶
Current abstraction TED Spread Domain-specific
Parents (1) — more general patterns this builds on
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TED Spread is a kind of Baseline Deviation Prime
TED Spread strictly instantiates Baseline Deviation.
Hierarchy path (1) — routes to 1 parentless root
- TED Spread → Baseline Deviation → Comparison → Self Checking
Neighborhood in Abstraction Space¶
TED Spread sits in a sparse region of the domain-specific corpus (80th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Macroeconomic Traps & Financial Fragility (29 abstractions)
Nearest neighbors
- Zero Lower Bound — 0.82
- Liquidity Preference — 0.82
- Impossible Trinity — 0.82
- Wholesale-Funding Run — 0.81
- Liquidity Trap — 0.81
Computed from structural-signature embeddings · 2026-09-08