V-Lab
CBOE S&P 500 One-Year Volatility Index APARCH Volatility Analysis
Volatility prediction for Friday, August 14th, 2026
1 Day
23.84%
1 Week
27.10%
1 Month
35.26%
Analysis last updated: Friday, August 14, 2026 at 11:32 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 3, 2007 to Aug 7, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 209% more than negative returns. Volatility rises more after gains than after losses, the reverse of the usual leverage effect and uncommon among risky assets. The volatility power δ = 0.79 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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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.1948 | 12.61*** |
α ARCH Response to squared shocks | 0.1949 | 15.13*** |
β GARCH Volatility persistence | 0.7649 | 51.34*** |
γ leverage Additional response to negative shocks | -0.6146 | -10.17*** |
δ power Transformation power | 0.7877 | 14.59*** |
Persistence:
0.915
Half-life:
8 days
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