V-Lab
Ops eCom SpA GARCH Volatility Analysis
High-persistence model: shocks decay very slowly, so the theoretical long-run value may not be practically meaningful
Volatility prediction for Wednesday, July 29th, 2026
1 Day
177.10%
decreased by 30.31%
1 Week
178.05%
decreased by 29.36%
1 Month
181.81%
decreased by 25.60%
Analysis last updated: Wednesday, September 2, 2026 at 04:58 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Aug 7, 2015 to Jul 28, 2026Model Insight
Estimated persistence of 1.000 is at or above 1 (non-stationary): volatility shocks do not decay and the long-run variance is undefined, so long-horizon forecasts should be treated with caution.
σ
GARCH Model
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High persistence: persistence 1.000 ≥ 1, shocks do not decay
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.6718 | 2.77*** |
| αARCH | 0.2862 | 4.76*** |
| βGARCH | 0.7138 | 11.81*** |
1.000
Persistence-
Half-lifeσ
GARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.6718 | 2.77*** |
α ARCH Response to squared shocks | 0.2862 | 4.76*** |
β GARCH Volatility persistence | 0.7138 | 11.81*** |
Persistence:
1.000
Half-life:
-
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