V-Lab
Sterling Capital Multi-Strategy Income ETF APARCH Volatility Analysis
Volatility prediction for Tuesday, September 8th, 2026
1 Day
2.96%
decreased by 0.11%
1 Week
2.96%
decreased by 0.11%
1 Month
2.98%
decreased by 0.09%
Analysis last updated: Friday, September 4, 2026 at 09:29 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Dec 11, 2025 to Sep 4, 2026Boundary Parameters
Model Insight
Volatility shocks decay with a half-life of 14 trading days, meaning a shock loses half its impact after approximately 14 days. The volatility power δ = 1.16 sits below 2, so large shocks influence volatility less than quadratically, a more outlier-robust response than standard GARCH.
σ
APARCH Model
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Shock decay: Shocks decay with a 14-day half-lifeδ = 1.16 · sub-quadratic power
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.0070 | 0.33 |
| αARCH | 0.0477 | 0.20 |
| βGARCH | 0.9089 | 11.16*** |
| γleverage | 1.0000 | 0.13 |
| δpower | 1.1632 | 0.91 |
0.952
Persistence14d
Half-lifeσ
APARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0070 | 0.33 |
α ARCH Response to squared shocks | 0.0477 | 0.20 |
β GARCH Volatility persistence | 0.9089 | 11.16*** |
γ leverage Additional response to negative shocks | 1.0000 | 0.13 |
δ power Transformation power | 1.1632 | 0.91 |
Persistence:
0.952
Half-life:
14 days
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