Dow Jones Industrial Average Zero Slope Spline-GARCH Volatility Analysis
Volatility prediction for Wednesday, October 14th, 2026
1 Day
10.94%
decreased by 0.23%
1 Week
11.35%
increased by 0.18%
1 Month
12.59%
increased by 1.42%
Analysis last updated: Wednesday, October 14, 2026 at 12:04 AM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 1, 1990 to Oct 9, 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 21 trading days.
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 | 1.4470 | 6.97*** |
| αARCH | 0.1026 | 9.76*** |
| βGARCH | 0.8654 | 73.31*** |
Spline Coefficients
K=6
| γ1 | 0.0711 | 5.57*** |
| γ2 | -0.1113 | -5.41*** |
| γ3 | 0.0603 | 3.96*** |
| γ4 | -0.0321 | -2.40** |
| γ5 | 0.0260 | 1.81* |
| γ6 | -0.0210 | -1.93* |
0.968
Persistence21d
Half-lifeτ
Zero Slope Spline-GARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 1.4470 | 6.97*** |
α ARCH Response to squared shocks | 0.1026 | 9.76*** |
β GARCH Volatility persistence | 0.8654 | 73.31*** |
Spline Coefficients
K=6
| γ1 | 0.0711 | 5.57*** |
| γ2 | -0.1113 | -5.41*** |
| γ3 | 0.0603 | 3.96*** |
| γ4 | -0.0321 | -2.40** |
| γ5 | 0.0260 | 1.81* |
| γ6 | -0.0210 | -1.93* |
Persistence:
0.968
Half-life:
21 days
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