CBOE Emerging Market Markets Volatility Index APARCH Volatility Analysis
Volatility prediction for Thursday, July 16th, 2026
1 Day
128.72%
1 Week
127.96%
1 Month
126.32%
Analysis last updated: Thursday, July 16, 2026 at 11:37 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Mar 16, 2011 to Jul 10, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 343% 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 = 1.09 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 | 0.9462 | 7.55*** |
α ARCH Response to squared shocks | 0.1533 | 16.52*** |
β GARCH Volatility persistence | 0.7746 | 65.94*** |
γ leverage Additional response to negative shocks | -0.5930 | -11.16*** |
δ power Transformation power | 1.0909 | 17.34*** |
Persistence:
0.900
Half-life:
7 days
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