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Rates
I keep a spreadsheet with one column in it: the number of cuts priced into the front end at the close of each Friday. It is the least sophisticated thing I do and it has taught me more than any of the sophisticated things.
| Week ending | Priced | Change |
|---|---|---|
| Early January | 1.4 | — |
| Mid January | 2.6 | +1.2 |
| Early February | 1.1 | −1.5 |
| Late February | 2.2 | +1.1 |
| This week | 1.7 | −0.5 |
Four reversals in nine weeks. Each one arrived with a confident explanation attached, and in three of the four cases the explanation was a single data release that was inside its own historical revision band.
It is the price at which someone is willing to take the other side. That is not the same as a forecast, and it is definitely not the same as a probability. When commentary says “the market expects two cuts” it means the clearing price for that exposure implies two cuts under a set of assumptions about risk premium that nobody states out loud.
A number that moves 1.5 cuts on one payroll print is not a forecast. It is a position that got crowded and then got unwound.
Because everything else gets priced off it. Mortgage spreads, the discount rate embedded in every long-duration equity story, the hurdle rate in a private credit deal. When the front end whips around like this, those downstream numbers move for reasons that have nothing to do with the businesses underneath them.
If you are rebalancing on a schedule, this is noise and you should treat it as noise. If you are making a decision that depends on a rate path — refinancing, a bond ladder, choosing duration in a portfolio — the useful question is not what the path is but how wrong it can be before your decision changes. Mine, at the moment, tolerates about a hundred basis points in either direction, which is a wider band than the market has moved in any single one of these four episodes.
Next week: what the February municipal calendar did to long-end spreads. Previously: small-cap liquidity.
Terms used here
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