AI Financial Corp APARCH Volatility Analysis
Volatility prediction for Wednesday, July 22nd, 2026
1 Day
96.27%
1 Week
100.12%
1 Month
112.35%
Analysis last updated: Tuesday, July 21, 2026 at 09:14 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Nov 7, 1991 to Jul 17, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 22% 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 = 1.54 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 | 1.0000 | 6.34*** |
α ARCH Response to squared shocks | 0.1637 | 34.70*** |
β GARCH Volatility persistence | 0.8275 | 192.89*** |
γ leverage Additional response to negative shocks | -0.0638 | -3.12*** |
δ power Transformation power | 1.5424 | 22.93*** |
Persistence:
0.970
Half-life:
23 days
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