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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%

decreased by 1.28%

1 Week

51.79%

decreased by 0.04%

1 Month

55.60%

increased by 3.77%

Analysis last updated: Saturday, September 5, 2026 at 02:21 AM UTC

Date Range:

from

to

6M ·

1Y ·

2Y ·

All

graph of Direxion Daily AI and Big Data Bear 2X ETF APARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

May 15, 2024 to Sep 4, 2026

Model 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.

σ

APARCH Model

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Inverse leverage: volatility responds almost entirely to positive returnsδ = 1.06 · sub-quadratic power
ParamValuet-stat
ωconst0.1914
2.24**
αARCH0.0840
2.54**
βGARCH0.8884
23.91***
γleverage-0.8304
-2.62***
δpower1.0594
2.58***

0.957

Persistence

16d

Half-life
σ

APARCH Model

Tap to view equation

ParameterValuet-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