CBOT Rough Rice Zero Slope Spline-GARCH Volatility Analysis
Volatility prediction for Wednesday, November 11th, 2026
1 Day
18.82%
decreased by 0.10%
1 Week
19.61%
increased by 0.69%
1 Month
21.74%
increased by 2.82%
Analysis last updated: Wednesday, November 11, 2026 at 03:05 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Sep 15, 1999 to Nov 6, 2026Model Insight
This model fits a time-varying baseline (a spline), so volatility mean-reverts toward a slowly-shifting long-run level rather than a constant. Short-run deviations decay with a half-life of 13 trading days.
τ
Zero Slope Spline-GARCH Model
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Time-varying baseline: volatility reverts to a slowly-shifting spline trend
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.6544 | 2.91*** |
| αARCH | 0.0861 | 5.86*** |
| βGARCH | 0.8631 | 32.97*** |
Spline Coefficients
K=9
| γ1 | -0.1197 | -1.62 |
| γ2 | 0.0376 | 0.32 |
| γ3 | 0.2161 | 2.26** |
| γ4 | -0.2670 | -3.43*** |
| γ5 | 0.2592 | 3.40*** |
| γ6 | -0.2359 | -3.77*** |
| γ7 | 0.1751 | 2.94*** |
| γ8 | -0.0588 | -0.92 |
| γ9 | -0.0256 | -0.56 |
0.949
Persistence13d
Half-lifeτ
Zero Slope Spline-GARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.6544 | 2.91*** |
α ARCH Response to squared shocks | 0.0861 | 5.86*** |
β GARCH Volatility persistence | 0.8631 | 32.97*** |
Spline Coefficients
K=9
| γ1 | -0.1197 | -1.62 |
| γ2 | 0.0376 | 0.32 |
| γ3 | 0.2161 | 2.26** |
| γ4 | -0.2670 | -3.43*** |
| γ5 | 0.2592 | 3.40*** |
| γ6 | -0.2359 | -3.77*** |
| γ7 | 0.1751 | 2.94*** |
| γ8 | -0.0588 | -0.92 |
| γ9 | -0.0256 | -0.56 |
Persistence:
0.949
Half-life:
13 days
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