V-Lab
Boston Scientific Corp GJR-GARCH Volatility Analysis
Volatility prediction for Friday, September 18th, 2026
1 Day
44.39%
decreased by 0.64%
1 Week
44.39%
decreased by 0.64%
1 Month
44.39%
decreased by 0.64%
Analysis last updated: Thursday, September 17, 2026 at 09:40 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
With persistence 0.996, volatility shocks have a half-life of 168 trading days (~0.7 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.
Leverage: Negative returns increase volatility 294% more than positive returns
σ
GJR-GARCH Model
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High persistence: persistence 0.996, shock half-life ~168 daysLeverage: Negative returns increase volatility 294% more than positive returns
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.0323 | 2.67*** |
| αARCH | 0.0133 | 2.99*** |
| βGARCH | 0.9631 | 181.31*** |
| γleverage | 0.0390 | 3.59*** |
0.996
Persistence168d
Half-lifeσ
GJR-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0323 | 2.67*** |
α ARCH Response to squared shocks | 0.0133 | 2.99*** |
β GARCH Volatility persistence | 0.9631 | 181.31*** |
γ leverage Additional response to negative shocks | 0.0390 | 3.59*** |
Persistence:
0.996
Half-life:
168 days
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