V-Lab
Boston Scientific Corp Spline-GARCH Volatility Analysis
Volatility prediction for Monday, September 14th, 2026
1 Day
55.04%
decreased by 3.57%
1 Week
56.58%
decreased by 2.03%
1 Month
58.24%
decreased by 0.37%
Analysis last updated: Friday, September 11, 2026 at 11:50 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
May 20, 1992 to Sep 11, 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 2 trading days.
τ
Spline-GARCH Model
Tap to view equation
Time-varying baseline: volatility reverts to a slowly-shifting spline trend
| Param | Value | t-stat |
|---|---|---|
| ωconst | 1.4022 | 9.52*** |
| αARCH | 0.1220 | 6.64*** |
| βGARCH | 0.6355 | 13.93*** |
Spline Coefficients
K=9
| γ1 | 0.1230 | 4.39*** |
| γ2 | -0.1866 | -3.96*** |
| γ3 | 0.0418 | 1.13 |
| γ4 | 0.0968 | 2.87*** |
| γ5 | -0.1433 | -4.06*** |
| γ6 | 0.0816 | 2.46** |
| γ7 | 0.0309 | 0.92 |
| γ8 | -0.1254 | -3.26*** |
| γ9 | 0.2891 | 4.63*** |
0.757
Persistence2d
Half-lifeτ
Spline-GARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 1.4022 | 9.52*** |
α ARCH Response to squared shocks | 0.1220 | 6.64*** |
β GARCH Volatility persistence | 0.6355 | 13.93*** |
Spline Coefficients
K=9
| γ1 | 0.1230 | 4.39*** |
| γ2 | -0.1866 | -3.96*** |
| γ3 | 0.0418 | 1.13 |
| γ4 | 0.0968 | 2.87*** |
| γ5 | -0.1433 | -4.06*** |
| γ6 | 0.0816 | 2.46** |
| γ7 | 0.0309 | 0.92 |
| γ8 | -0.1254 | -3.26*** |
| γ9 | 0.2891 | 4.63*** |
Persistence:
0.757
Half-life:
2 days
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