V-Lab
Bitcoin to US Dollar APARCH Volatility Analysis
Volatility prediction for Wednesday, September 23rd, 2026
1 Day
53.97%
1 Week
56.04%
1 Month
63.11%
Analysis last updated: Wednesday, September 23, 2026 at 06:01 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jul 17, 2010 to Sep 19, 2026Model Insight
Volatility shocks decay with a half-life of 42 trading days, meaning a shock loses half its impact after approximately 42 days. The volatility power δ = 1.74 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 | 0.4276 | 2.05** |
| αARCH | 0.1702 | 6.62*** |
| βGARCH | 0.8274 | 36.21*** |
| γleverage | 0.0286 | 0.42 |
| δpower | 1.7408 | 5.98*** |
0.984
Persistence42d
Half-lifeAPARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.4276 | 2.05** |
α ARCH Response to squared shocks | 0.1702 | 6.62*** |
β GARCH Volatility persistence | 0.8274 | 36.21*** |
γ leverage Additional response to negative shocks | 0.0286 | 0.42 |
δ power Transformation power | 1.7408 | 5.98*** |
Persistence:
0.984
Half-life:
42 days
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