Boston Scientific Corp GJR-GARCH Volatility Analysis
Volatility prediction for Monday, November 2nd, 2026
1 Day
38.44%
decreased by 0.13%
1 Week
38.49%
decreased by 0.08%
1 Month
38.68%
increased by 0.11%
Analysis last updated: Friday, October 30, 2026 at 09:59 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
May 20, 1992 to Oct 30, 2026Model Insight
With persistence 0.996, volatility shocks have a half-life of 163 trading days (~0.6 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.
Leverage: Negative returns increase volatility 287% more than positive returns
σ
GJR-GARCH Model
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High persistence: persistence 0.996, shock half-life ~163 daysLeverage: Negative returns increase volatility 287% more than positive returns
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.0325 | 2.71*** |
| αARCH | 0.0134 | 3.02*** |
| βGARCH | 0.9630 | 180.98*** |
| γleverage | 0.0386 | 3.54*** |
0.996
Persistence163d
Half-lifeσ
GJR-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0325 | 2.71*** |
α ARCH Response to squared shocks | 0.0134 | 3.02*** |
β GARCH Volatility persistence | 0.9630 | 180.98*** |
γ leverage Additional response to negative shocks | 0.0386 | 3.54*** |
Persistence:
0.996
Half-life:
163 days
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