Betapro Nasdaq-100 -2X D ETF GJR-GARCH Volatility Analysis
Volatility prediction for Tuesday, November 10th, 2026
1 Day
90.41%
decreased by 5.41%
1 Week
89.36%
decreased by 6.46%
1 Month
85.47%
decreased by 10.35%
Analysis last updated: Tuesday, November 10, 2026 at 10:04 AM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jun 18, 2008 to Nov 6, 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 | 0.1783 | 4.35*** |
| αARCH | 0.2022 | 6.21*** |
| βGARCH | 0.8796 | 74.14*** |
| γleverage | -0.1982 | -5.77*** |
0.983
Persistence40d
Half-lifeσ
GJR-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.1783 | 4.35*** |
α ARCH Response to squared shocks | 0.2022 | 6.21*** |
β GARCH Volatility persistence | 0.8796 | 74.14*** |
γ leverage Additional response to negative shocks | -0.1982 | -5.77*** |
Persistence:
0.983
Half-life:
40 days
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