V-Lab
ICE BofAML U.S. Bond Market Option Volatility Estimate Index APARCH Volatility Analysis
Volatility prediction for Wednesday, September 16th, 2026
1 Day
66.45%
1 Week
66.90%
1 Month
68.30%
Analysis last updated: Wednesday, September 16, 2026 at 04:03 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 2, 1990 to Sep 11, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 197% 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 = 1.14 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 | 0.2333 | 3.88*** |
| αARCH | 0.0799 | 6.29*** |
| βGARCH | 0.8926 | 58.54*** |
| γleverage | -0.4458 | -2.75*** |
| δpower | 1.1354 | 7.98*** |
0.958
Persistence16d
Half-lifeAPARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.2333 | 3.88*** |
α ARCH Response to squared shocks | 0.0799 | 6.29*** |
β GARCH Volatility persistence | 0.8926 | 58.54*** |
γ leverage Additional response to negative shocks | -0.4458 | -2.75*** |
δ power Transformation power | 1.1354 | 7.98*** |
Persistence:
0.958
Half-life:
16 days
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