V-Lab
Betapro Nasdaq-100 -2X D ETF GJR-GARCH Volatility Analysis
Volatility prediction for Tuesday, September 8th, 2026
1 Day
31.05%
decreased by 1.28%
1 Week
31.91%
decreased by 0.42%
1 Month
34.81%
increased by 2.48%
Analysis last updated: Saturday, September 5, 2026 at 09:19 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jun 18, 2008 to Sep 4, 2026Model Insight
This asset shows a rare inverse leverage effect: volatility responds almost entirely to positive returns, rising far more after gains than after losses. This is the reverse of the usual leverage effect, rare among risky assets.
σ
GJR-GARCH Model
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Inverse leverage: volatility responds almost entirely to positive returns
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.1782 | 4.35*** |
| αARCH | 0.2014 | 6.16*** |
| βGARCH | 0.8790 | 72.89*** |
| γleverage | -0.1966 | -5.67*** |
0.982
Persistence38d
Half-lifeσ
GJR-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.1782 | 4.35*** |
α ARCH Response to squared shocks | 0.2014 | 6.16*** |
β GARCH Volatility persistence | 0.8790 | 72.89*** |
γ leverage Additional response to negative shocks | -0.1966 | -5.67*** |
Persistence:
0.982
Half-life:
38 days
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