Regencell Bioscience Hol Ltd GJR-GARCH Volatility Analysis
High-persistence model: shocks decay very slowly, so the theoretical long-run value may not be practically meaningful
Volatility prediction for Wednesday, October 14th, 2026
1 Day
114.48%
1 Week
114.50%
1 Month
114.59%
Analysis last updated: Tuesday, October 13, 2026 at 10:29 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
May 9, 2002 to Oct 9, 2026Model Insight
Estimated persistence of 1.000 is at or above 1 (non-stationary): volatility shocks do not decay and the long-run variance is undefined, so long-horizon forecasts should be treated with caution.
Leverage: Negative returns increase volatility 243% more than positive returns
GJR-GARCH Model
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| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.0103 | 0.77 |
| αARCH | 0.0077 | 1.50 |
| βGARCH | 0.9829 | 105.21*** |
| γleverage | 0.0187 | 2.16** |
1.000
Persistence-
Half-lifeGJR-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0103 | 0.77 |
α ARCH Response to squared shocks | 0.0077 | 1.50 |
β GARCH Volatility persistence | 0.9829 | 105.21*** |
γ leverage Additional response to negative shocks | 0.0187 | 2.16** |
Persistence:
1.000
Half-life:
-
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