Johnson & Johnson GJR-GARCH Volatility Analysis
Volatility prediction for Tuesday, October 27th, 2026
1 Day
30.06%
decreased by 1.17%
1 Week
29.98%
decreased by 1.25%
1 Month
29.67%
decreased by 1.56%
Analysis last updated: Monday, October 26, 2026 at 09:44 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 2, 1990 to Oct 23, 2026Model Insight
With persistence 0.990, volatility shocks have a half-life of 72 trading days (~0.3 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.
Leverage: Negative returns increase volatility 176% more than positive returns
σ
GJR-GARCH Model
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High persistence: persistence 0.990, shock half-life ~72 daysLeverage: Negative returns increase volatility 176% more than positive returns
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.0247 | 4.94*** |
| αARCH | 0.0423 | 4.73*** |
| βGARCH | 0.9109 | 119.91*** |
| γleverage | 0.0743 | 3.27*** |
0.990
Persistence72d
Half-lifeσ
GJR-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0247 | 4.94*** |
α ARCH Response to squared shocks | 0.0423 | 4.73*** |
β GARCH Volatility persistence | 0.9109 | 119.91*** |
γ leverage Additional response to negative shocks | 0.0743 | 3.27*** |
Persistence:
0.990
Half-life:
72 days
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