The Bond Market Reaction Function
How the bond market translates Fed actions and macro data into yield moves across the curve, and why hawkish vs dovish surprises matter more than the absolute level of data
On the morning of Friday August 2, 2024, the Bureau of Labor Statistics released the July 2024 employment situation report at 8:30 AM Eastern (per bls.gov/news.release/empsit.
htm). Nonfarm payrolls came in at +114,000 versus a Bloomberg median consensus expectation of approximately +175,000, and the unemployment rate rose to 4.3% from 4.
1%, breaching the Sahm rule threshold. The U.S.
10-year Treasury yield dropped from 4.07% the prior afternoon (August 1 close) to 3.79% by August 5 morning — a 28 basis point move in the longest-duration U.
S. benchmark over a few trading sessions, one of the largest weekly moves of the year (per FRED series DGS10 historical data at fred.stlouisfed.
org/series/DGS10). The bond market's response was not idiosyncratic. It was the disciplined application of a structural rule: when macroeconomic data lands meaningfully softer than market-priced expectations, expected future short rates re-price downward (markets price more cuts), and term premium can shift simultaneously as risk-off flows compress longer-duration risk pricing.
That is the opening. Finishing a lesson is where it stops being interesting and starts being useful: the full lesson runs to 6 sections and ends with 6 practice questions. A free account is what opens the rest, and the other 255 lessons in the Academy with it. No card.
What this lesson covers
- 1Why the gap between data and expectations matters more than the data level
- 2Yield decomposition and the reaction-function math
- 3Yield-curve response patterns and what each signals
- 4August 2-5, 2024 — when a single NFP miss moved the 2y by 48bp and the 10y by 28bp
- 5Where to see this on the platform
- 6Summary