Click to Login

1-month Treasury Yield

Linear model of 1-month Treasury Yield at period t from the other tracked series and the LN_ / squared transforms described on the Regression Models index: Y(t) = Σ ai Xi(t−6).

Integrated series (S&P 500, Dow, Home Price Index, Commercial RE) are fit as ΔY. Quarterly series use one row per quarter.

Terms are added one at a time to minimize training AIC, at most min(5, n/8) predictors, one transform per driver, and only when the term’s p-value is at most 0.1 and |coefficient| is greater than 1.0e-10. A candidate correlated above 0.8 with Y or with an already selected X is skipped.

LN_ and squared predictors are clamped to their training range. Coefficients smaller than 0.001 are shown in scientific notation.

Each section is labeled by the month after its 12-month test window; the fit uses the prior 48 months of Y. Independents are dated six months earlier than Y.

Charts start in January 2020 and plot published prints only (not carried-forward extra samples). Fitted (train), fitted (test), and forecast are joined at the window boundaries so the line is continuous through the label month. The OLS test/forecast is shown when its test MAE beats or matches a last-print (or zero-change) baseline.

An intercept-only heading (for example “Δ SP500 = 40.657”) means no lagged series improved training AIC by at least 2 after the intercept, so the model is the training-mean change (a random walk with drift).

Test MAE is omitted when every print in the test window is a CCAR extra sample rather than a published observation.

Sept 2026: 1-month Treasury Yield = 83.899 − 0.372 × LN_Real disposable income growth − 0.027 × Nominal GDP growth² + 0.043 × Prime Rate² − 7.454 × LN_Dow Total Stock Market Index

Train: Sept 2021 – Aug 2025 (33 observations). Test: Sept 2025 – Aug 2026 (8 observations). Independents are dated six months before each Y period.

Regression for 1-month Treasury Yield
Dependent variable (+/- SE):
1-month Treasury Yield
Constant83.899 (+/- 4.945)
p = 0.000***
LN_Real disposable income growth-0.372 (+/- 0.097)
p = 0.001***
Nominal GDP growth2-0.027 (+/- 0.003)
p = 0.000***
Prime Rate20.043 (+/- 0.006)
p = 0.00000***
LN_Dow Total Stock Market Index-7.454 (+/- 0.463)
p = 0.000***
Observations33
R20.962
Adjusted R20.956
Residual Std. Error0.322 (df = 28)
F Statistic175.095*** (df = 4; 28)
Note:*p<0.1; **p<0.05; ***p<0.01

Test period (Sept 2025 – Aug 2026)

MAE0.187
Last-print MAE0.082
RMSE0.254
R2-0.516

Chart forecast uses the last-print baseline (OLS MAE is worse).

R2 impact

Train ΔR2 is the gain when the term was added. Test ΔR2 is the drop if that term is omitted from the frozen coefficients and the reduced model is scored on the test window.

Variable Train ΔR2 Test ΔR2
LN_Real disposable income growth +0.4390 -0.0416
Nominal GDP growth² +0.1373 +4.3884
Prime Rate² +0.0299 +146.5415
LN_Dow Total Stock Market Index +0.0409 +156024.0678

Aug 2026: 1-month Treasury Yield = 86.147 − 0.356 × LN_Real disposable income growth − 0.026 × Nominal GDP growth² + 0.046 × Prime Rate² − 7.685 × LN_Dow Total Stock Market Index

Train: Aug 2021 – July 2025 (32 observations). Test: Aug 2025 – July 2026 (9 observations). Independents are dated six months before each Y period.

Regression for 1-month Treasury Yield
Dependent variable (+/- SE):
1-month Treasury Yield
Constant86.147 (+/- 4.950)
p = 0.000***
LN_Real disposable income growth-0.356 (+/- 0.094)
p = 0.001***
Nominal GDP growth2-0.026 (+/- 0.003)
p = 0.000***
Prime Rate20.046 (+/- 0.006)
p = 0.000***
LN_Dow Total Stock Market Index-7.685 (+/- 0.467)
p = 0.000***
Observations32
R20.965
Adjusted R20.960
Residual Std. Error0.311 (df = 27)
F Statistic188.369*** (df = 4; 27)
Note:*p<0.1; **p<0.05; ***p<0.01

Test period (Aug 2025 – July 2026)

MAE0.294
Last-print MAE0.082
RMSE0.361
R2-0.843

Chart forecast uses the last-print baseline (OLS MAE is worse).

R2 impact

Train ΔR2 is the gain when the term was added. Test ΔR2 is the drop if that term is omitted from the frozen coefficients and the reduced model is scored on the test window.

Variable Train ΔR2 Test ΔR2
LN_Real disposable income growth +0.4502 -0.9324
Nominal GDP growth² +0.1388 -0.0350
Prime Rate² +0.0285 +112.0756
LN_Dow Total Stock Market Index +0.0444 +99678.2125

July 2026: 1-month Treasury Yield = 84.123 − 0.382 × LN_Real disposable income growth − 0.028 × Nominal GDP growth² + 0.09 × 3-month Treasury Yield² − 7.412 × LN_Dow Total Stock Market Index

Train: July 2021 – June 2025 (31 observations). Test: July 2025 – June 2026 (9 observations). Independents are dated six months before each Y period.

Regression for 1-month Treasury Yield
Dependent variable (+/- SE):
1-month Treasury Yield
Constant84.123 (+/- 5.479)
p = 0.000***
LN_Real disposable income growth-0.382 (+/- 0.101)
p = 0.001***
Nominal GDP growth2-0.028 (+/- 0.003)
p = 0.000***
3-month Treasury Yield20.090 (+/- 0.012)
p = 0.00000***
LN_Dow Total Stock Market Index-7.412 (+/- 0.513)
p = 0.000***
Observations31
R20.961
Adjusted R20.955
Residual Std. Error0.336 (df = 26)
F Statistic160.015*** (df = 4; 26)
Note:*p<0.1; **p<0.05; ***p<0.01

Test period (July 2025 – June 2026)

MAE0.434
Last-print MAE0.089
RMSE0.499
R2-2.077

Chart forecast uses the last-print baseline (OLS MAE is worse).

R2 impact

Train ΔR2 is the gain when the term was added. Test ΔR2 is the drop if that term is omitted from the frozen coefficients and the reduced model is scored on the test window.

Variable Train ΔR2 Test ΔR2
LN_Real disposable income growth +0.4650 -1.7736
Nominal GDP growth² +0.1412 -1.8962
3-month Treasury Yield² +0.0257 +48.2599
LN_Dow Total Stock Market Index +0.0400 +80785.6217

June 2026: 1-month Treasury Yield = 87.748 − 0.355 × LN_Real disposable income growth − 0.027 × Nominal GDP growth² + 0.099 × 3-month Treasury Yield² − 7.78 × LN_Dow Total Stock Market Index

Train: June 2021 – May 2025 (30 observations). Test: June 2025 – May 2026 (9 observations). Independents are dated six months before each Y period.

Regression for 1-month Treasury Yield
Dependent variable (+/- SE):
1-month Treasury Yield
Constant87.748 (+/- 5.584)
p = 0.000***
LN_Real disposable income growth-0.355 (+/- 0.097)
p = 0.002***
Nominal GDP growth2-0.027 (+/- 0.003)
p = 0.00000***
3-month Treasury Yield20.099 (+/- 0.013)
p = 0.00000***
LN_Dow Total Stock Market Index-7.780 (+/- 0.529)
p = 0.000***
Observations30
R20.966
Adjusted R20.960
Residual Std. Error0.321 (df = 25)
F Statistic175.867*** (df = 4; 25)
Note:*p<0.1; **p<0.05; ***p<0.01

Test period (June 2025 – May 2026)

MAE0.531
Last-print MAE0.098
RMSE0.553
R2-3.328

Chart forecast uses the last-print baseline (OLS MAE is worse).

R2 impact

Train ΔR2 is the gain when the term was added. Test ΔR2 is the drop if that term is omitted from the frozen coefficients and the reduced model is scored on the test window.

Variable Train ΔR2 Test ΔR2
LN_Real disposable income growth +0.4853 -2.7388
Nominal GDP growth² +0.1456 -3.5705
3-month Treasury Yield² +0.0208 +73.6565
LN_Dow Total Stock Market Index +0.0445 +101385.7772

May 2026: 1-month Treasury Yield = 88.42 − 0.344 × LN_Real disposable income growth − 0.027 × Nominal GDP growth² + 0.101 × 3-month Treasury Yield² − 7.848 × LN_Dow Total Stock Market Index

Train: May 2021 – Apr 2025 (29 observations). Test: May 2025 – Apr 2026 (10 observations). Independents are dated six months before each Y period.

Regression for 1-month Treasury Yield
Dependent variable (+/- SE):
1-month Treasury Yield
Constant88.420 (+/- 5.963)
p = 0.000***
LN_Real disposable income growth-0.344 (+/- 0.103)
p = 0.003***
Nominal GDP growth2-0.027 (+/- 0.003)
p = 0.00000***
3-month Treasury Yield20.101 (+/- 0.014)
p = 0.00000***
LN_Dow Total Stock Market Index-7.848 (+/- 0.568)
p = 0.000***
Observations29
R20.966
Adjusted R20.960
Residual Std. Error0.327 (df = 24)
F Statistic169.725*** (df = 4; 24)
Note:*p<0.1; **p<0.05; ***p<0.01

Test period (May 2025 – Apr 2026)

MAE0.521
Last-print MAE0.098
RMSE0.557
R2-3.354

Chart forecast uses the last-print baseline (OLS MAE is worse).

R2 impact

Train ΔR2 is the gain when the term was added. Test ΔR2 is the drop if that term is omitted from the frozen coefficients and the reduced model is scored on the test window.

Variable Train ΔR2 Test ΔR2
LN_Real disposable income growth +0.5282 -2.6165
Nominal GDP growth² +0.1419 -3.3187
3-month Treasury Yield² +0.0182 +78.7093
LN_Dow Total Stock Market Index +0.0439 +102383.8203

Apr 2026: 1-month Treasury Yield = 6.76 − 0.12 × Unemployment Rate² − 0.025 × CPI Inflation Rate²

Train: Apr 2021 – Mar 2025 (48 observations). Test: Apr 2025 – Mar 2026 (12 observations). Independents are dated six months before each Y period.

Regression for 1-month Treasury Yield
Dependent variable (+/- SE):
1-month Treasury Yield
Constant6.760 (+/- 0.379)
p = 0.000***
Unemployment Rate2-0.120 (+/- 0.012)
p = 0.000***
CPI Inflation Rate2-0.025 (+/- 0.006)
p = 0.0002***
Observations48
R20.724
Adjusted R20.712
Residual Std. Error1.230 (df = 45)
F Statistic59.040*** (df = 2; 45)
Note:*p<0.1; **p<0.05; ***p<0.01

Test period (Apr 2025 – Mar 2026)

MAE0.399
Last-print MAE0.096
RMSE0.489
R2-2.168

Chart forecast uses the last-print baseline (OLS MAE is worse).

R2 impact

Train ΔR2 is the gain when the term was added. Test ΔR2 is the drop if that term is omitted from the frozen coefficients and the reduced model is scored on the test window.

Variable Train ΔR2 Test ΔR2
Unemployment Rate² +0.3691 +79.3854
CPI Inflation Rate² +0.0187 +2.2058