V-Lab
CBOE Energy ETF Volatility Index APARCH Volatility Analysis
Last recorded values (Monday, February 14th, 2022):
1 Day
99.99%
1 Week
98.25%
1 Month
94.75%
Analysis last updated: Wednesday, September 2, 2026 at 03:48 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Mar 16, 2011 to Feb 11, 2022Model Insight
Volatility shocks decay with a half-life of 6 trading days, meaning a shock loses half its impact after approximately 6 days. The volatility power δ = 1.23 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 | 1.0000 | 1.67* |
| αARCH | 0.1118 | 3.56*** |
| βGARCH | 0.7898 | 16.20*** |
| γleverage | -0.4727 | -1.81* |
| δpower | 1.2304 | 4.61*** |
0.884
Persistence6d
Half-lifeAPARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 1.0000 | 1.67* |
α ARCH Response to squared shocks | 0.1118 | 3.56*** |
β GARCH Volatility persistence | 0.7898 | 16.20*** |
γ leverage Additional response to negative shocks | -0.4727 | -1.81* |
δ power Transformation power | 1.2304 | 4.61*** |
Persistence:
0.884
Half-life:
6 days
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