Capitalonline Data Service Co Ltd APARCH Volatility Analysis
Volatility prediction for Tuesday, July 14th, 2026
1 Day
66.30%
1 Week
66.26%
1 Month
66.12%
Analysis last updated: Tuesday, July 14, 2026 at 06:23 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jul 1, 2020 to Jul 10, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 140% 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 = 2.40 sits above 2, so large shocks influence volatility more than quadratically, dominating the response more than in standard GARCH.
APARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 1.0000 | 3.44*** |
α ARCH Response to squared shocks | 0.0629 | 6.17*** |
β GARCH Volatility persistence | 0.8888 | 135.81*** |
γ leverage Additional response to negative shocks | -0.1803 | -5.50*** |
δ power Transformation power | 2.4011 | 11.72*** |
Persistence:
0.967
Half-life:
21 days
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