NSS Yield Curve Engine

U.S. Treasury curve as of 01 October 2026 · Nelson-Siegel-Svensson · source: fred

Regime
Normal
since 2026-03-20
Slope (10Y − 3M)
+1.12 pp
NSS-implied
Recession odds, 12m
7%
probit on the slope
10-year yield
5.27%
short rate 4.01%
Median fit error
3.8 bp
1918 curves calibrated
10Y term premium
+1.19%
survey-anchored · plain ACM +2.06%
10Y breakeven inflation
2.37%
5y5y forward 2.39%

The latest curve

Dots are observed constant-maturity yields; the line is the calibrated NSS curve. The forward curve shows the rates the market implies for future short-term borrowing.

Table view
Observed (%) Fitted (%) Residual (bp) Forward (%)
Tenor
1M 4.06 4.08 -1.68 4.06
3M 4.17 4.14 2.59 4.21
6M 4.27 4.26 0.99 4.45
1Y 4.44 4.48 -4.12 4.82
2Y 4.78 4.76 2.16 5.09
3Y 4.91 4.89 1.89 5.13
5Y 5.01 5.02 -1.30 5.26
7Y 5.12 5.13 -0.56 5.47
10Y 5.24 5.27 -2.73 5.76
20Y 5.64 5.56 8.36 6.11
30Y 5.61 5.67 -5.64 6.14

How the curve has moved

Every week since 1990 compressed into a slider, and as a surface.

Slope, regimes and recessions

An inverted curve (long rates below short rates) has preceded every U.S. recession since the 1960s. The regime strip classifies the model-implied slope with hysteresis so noise near a threshold does not flip the label.

Inversion episodes table
End Months Deepest (pp) Next recession Lead (months)
Inversion start
Aug 2000 Dec 2000 5 -0.6 Apr 2001 8.0
Jul 2006 May 2007 11 -0.5 Jan 2008 18.0
May 2019 Sep 2019 5 -0.4 Mar 2020 10.0
Nov 2022 Nov 2024 25 -1.8 – –

The near-term forward spread (Engstrom & Sharpe, 2019) reads the market's expected path of the Fed funds rate off the NSS forward curve: below zero, cuts are priced in.

Which signal predicts recessions best (pseudo-real time)?
auc_in_sample auc_out_of_sample brier_out_of_sample latest_probability
predictors
10Y−3M spread 0.778 0.612 0.088 0.069
near-term forward spread 0.772 0.712 0.091 0.044
both 0.785 0.502 0.103 0.062

Latent factors

Level, slope and curvature summarise the whole curve in a handful of numbers.

Correlation with model-free proxies
NSS (free λ) Diebold-Li (fixed λ)
factor ~ proxy
beta0 ~ level 0.503 0.838
-beta1 ~ slope 0.742 0.995
beta2 ~ curvature 0.798 0.979

Expected rates vs term premium

A 10-year yield is the average short rate investors expect over the next decade plus a term premium, the extra return demanded for holding a long bond. The Adrian-Crump-Moench model (the method behind the New York Fed's published premium) separates the two. Its expected short rates are also fitted to the Philadelphia Fed's Survey of Professional Forecasters, so they do not simply revert to the 1990-2026 average of rates; plain ACM is shown for comparison. Latest: 5.25% = 4.06% expected + 1.19% term premium.

Agreement with other estimates
corr (level) corr (12m change) RMSE (bp) mean gap (bp) months
ACM on NSS curves (full sample) vs Kim-Wright (Fed Board) 0.96 0.75 122.31 104.17 441.00
ACM + SPF surveys (full sample) vs Kim-Wright (Fed Board) 0.95 0.79 29.70 -5.56 441.00
ACM on NSS curves (real time) vs Kim-Wright (Fed Board) 0.08 0.52 116.24 70.88 382.00
ACM + SPF surveys (real time) vs Kim-Wright (Fed Board) 0.94 0.90 43.79 -26.37 382.00
ACM on NSS curves (full sample) vs ACM (New York Fed) 0.91 0.81 97.23 79.97 442.00
ACM + SPF surveys (full sample) vs ACM (New York Fed) 0.73 0.42 87.69 -29.72 442.00
ACM on NSS curves (real time) vs ACM (New York Fed) 0.38 0.66 115.65 55.06 383.00
ACM + SPF surveys (real time) vs ACM (New York Fed) 0.65 0.71 89.81 -42.17 383.00
ACM on NSS curves (full sample) vs ACM on the Fed's GSW curve 0.99 0.95 31.28 15.17 441.00
ACM + SPF surveys (full sample) vs ACM on the Fed's GSW curve 0.90 0.67 125.49 -94.56 441.00
ACM on NSS curves (real time) vs ACM on the Fed's GSW curve 0.25 0.69 126.97 1.24 382.00
ACM + SPF surveys (real time) vs ACM on the Fed's GSW curve 0.86 0.77 116.72 -96.01 382.00
Which part of the slope predicts recessions?
auc_in_sample auc_out_of_sample brier_out_of_sample latest_probability
predictors
10Y−3M spread 0.743 0.497 0.103 0.069
expectations component 0.703 0.224 0.092 0.104
term premium 0.483 0.475 0.118 0.074

Real yields and breakeven inflation

TIPS pay a real yield. Fitting their curve next to the nominal one gives breakeven inflation at every maturity, and the 5-year, 5-year forward breakeven, the market's inflation compensation for years 5 to 10. It includes risk and liquidity premia, so it is not a pure forecast. Latest (2026-10-01): 10-year real yield 2.88%, 10-year breakeven 2.37%, 5y5y 2.39%.

Agreement with other measures
corr (level) corr (1m change) RMSE (bp) mean gap (bp) months
be_par_5y vs FRED T5YIE 1.00 0.96 5.61 -0.15 268.00
be_par_10y vs FRED T10YIE 0.99 0.93 6.46 1.63 268.00
be_5y5y vs FRED T5YIFR 0.95 0.95 13.68 8.57 268.00
be_5y vs Fed GSW be_5y 0.97 0.86 13.77 -1.53 267.00
be_10y vs Fed GSW be_10y 0.98 0.91 8.23 -1.03 267.00
be_5y5y vs Fed GSW be_5y5y 0.88 0.67 20.37 -0.52 267.00

Validation against the Federal Reserve's GSW curve

Zero curves agree to 10.6 bp RMSE over 1909 dates; period-to-period changes correlate 0.973. The Fed fits off-the-run notes and bonds, this engine on-the-run par yields, so small persistent gaps are expected.

Table view
1Y 2Y 3Y 5Y 7Y 10Y 15Y 20Y 25Y 30Y 5y5y fwd
bias_bp -5.17 -2.57 -1.93 -2.74 -4.99 -8.80 -12.06 -10.45 -5.43 1.46 -14.86
std_bp 6.20 4.33 3.91 3.93 6.20 9.30 9.33 6.17 8.13 16.86 17.12
rmse_bp 8.07 5.04 4.36 4.79 7.96 12.80 15.25 12.14 9.77 16.92 22.66
change_corr 0.95 0.99 0.99 0.99 0.99 0.99 0.98 0.99 0.98 0.87 0.97

Model quality and relative value

Residuals are where individual tenors sit relative to the smooth curve. Positive (red) means the yield is above the curve - the bond is cheap relative to its neighbours.

Table view
residual_bp zscore signal half-life (periods)
tenor
1M -1.68 -0.81 fair 2.41
3M 2.59 0.99 fair 1.56
6M 0.99 -0.20 fair 2.08
1Y -4.12 -0.75 fair 4.41
2Y 2.16 0.60 fair 3.39
3Y 1.89 1.46 fair 4.86
5Y -1.30 -1.21 fair 5.65
7Y -0.56 -1.74 fair 8.04
10Y -2.73 1.43 fair 25.11
20Y 8.36 0.12 fair 42.56
30Y -5.64 -0.41 fair 25.22

Forecasting

Diebold-Li dynamic Nelson-Siegel forecasts, re-estimated each month on past data only, compared with the random-walk ("no change") benchmark.

Diebold-Mariano p-values
3M 6M 1Y 2Y 3Y 5Y 7Y 10Y 20Y 30Y
horizon
1 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.005 0.000 0.000
6 0.182 0.098 0.102 0.055 0.068 0.160 0.241 0.328 0.009 0.019
12 0.413 0.380 0.324 0.259 0.223 0.222 0.215 0.183 0.001 0.000

The state-space version of the model (Kalman filter, all parameters estimated jointly by maximum likelihood) also gives forecast intervals.