V-Lab
Direxion Daily AI and Big Data Bear 2X ETF APARCH Volatility Analysis
Volatility prediction for Tuesday, September 8th, 2026
1 Day
50.55%
1 Week
51.79%
1 Month
55.60%
Analysis last updated: Saturday, September 5, 2026 at 02:21 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
May 15, 2024 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. The volatility power δ = 1.06 sits below 2, so large shocks influence volatility less than quadratically, a more outlier-robust response than standard GARCH.
APARCH Model
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| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.1914 | 2.24** |
| αARCH | 0.0840 | 2.54** |
| βGARCH | 0.8884 | 23.91*** |
| γleverage | -0.8304 | -2.62*** |
| δpower | 1.0594 | 2.58*** |
0.957
Persistence16d
Half-lifeAPARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.1914 | 2.24** |
α ARCH Response to squared shocks | 0.0840 | 2.54** |
β GARCH Volatility persistence | 0.8884 | 23.91*** |
γ leverage Additional response to negative shocks | -0.8304 | -2.62*** |
δ power Transformation power | 1.0594 | 2.58*** |
Persistence:
0.957
Half-life:
16 days
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