V-Lab
Broadcom Inc APARCH Volatility Analysis
Volatility prediction for Wednesday, September 16th, 2026
1 Day
41.31%
1 Week
41.52%
1 Month
42.25%
Analysis last updated: Wednesday, September 16, 2026 at 02:21 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Aug 6, 2009 to Sep 11, 2026Model Insight
Volatility shocks decay with a half-life of 29 trading days, meaning a shock loses half its impact after approximately 29 days. The volatility power δ = 1.24 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 | 0.0875 | 2.74*** |
| αARCH | 0.0762 | 3.32*** |
| βGARCH | 0.9135 | 35.03*** |
| γleverage | 0.2747 | 1.83* |
| δpower | 1.2418 | 4.33*** |
0.977
Persistence29d
Half-lifeAPARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0875 | 2.74*** |
α ARCH Response to squared shocks | 0.0762 | 3.32*** |
β GARCH Volatility persistence | 0.9135 | 35.03*** |
γ leverage Additional response to negative shocks | 0.2747 | 1.83* |
δ power Transformation power | 1.2418 | 4.33*** |
Persistence:
0.977
Half-life:
29 days
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