CBOE IBM Volatility Index Zero Slope Spline-GARCH Volatility Analysis
Volatility prediction for Monday, November 9th, 2026
1 Day
121.68%
decreased by 29.36%
1 Week
132.31%
decreased by 18.73%
1 Month
136.80%
decreased by 14.24%
Analysis last updated: Monday, November 9, 2026 at 12:39 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 7, 2011 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 1 trading day.
τ
Zero Slope Spline-GARCH Model
Tap to view equation
Time-varying baseline: volatility reverts to a slowly-shifting spline trend
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.8940 | 9.77*** |
| αARCH | 0.3778 | 5.76*** |
| βGARCH | 0.0975 | 1.87* |
Spline Coefficients
K=1
| γ1 | -0.0017 | -2.19** |
0.475
Persistence1d
Half-lifeτ
Zero Slope Spline-GARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.8940 | 9.77*** |
α ARCH Response to squared shocks | 0.3778 | 5.76*** |
β GARCH Volatility persistence | 0.0975 | 1.87* |
Spline Coefficients
K=1
| γ1 | -0.0017 | -2.19** |
Persistence:
0.475
Half-life:
1 days
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