V-Lab
Gvs S P A MF2-GARCH Volatility Analysis
Volatility prediction for Monday, September 21st, 2026
1 Day
36.03%
decreased by 1.72%
1 Week
38.93%
increased by 1.18%
1 Month
40.16%
increased by 2.41%
Analysis last updated: Saturday, September 19, 2026 at 10:24 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jun 19, 2020 to Sep 18, 2026Model Insight
Volatility shocks decay with a half-life of 1 trading day, meaning a shock loses half its impact after approximately 1 day.
σ
MF2-GARCH Model
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Shock decay: Shocks decay with a 1-day half-life
| Param | Value | t-stat |
|---|---|---|
| mwindow | 46 | |
| αARCH | 0.0903 | 1.95* |
| βGARCH | 0.1182 | 0.79 |
| γleverage | 0.1884 | 1.39 |
| λ₁tau intercept | 4.2080 | 1.24 |
| λ₂forecast adj. | 0.4443 | 1.23 |
| λ₃tau persistence | 0.0000 | 0.00 |
0.303
Persistence1d
Half-lifeσ
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 46 | |
α ARCH Response to squared shocks | 0.0903 | 1.95* |
β GARCH Volatility persistence | 0.1182 | 0.79 |
γ leverage Additional response to negative shocks | 0.1884 | 1.39 |
λ₁ tau intercept Baseline long-term coefficient | 4.2080 | 1.24 |
λ₂ forecast adj. Forecast performance sensitivity | 0.4443 | 1.23 |
λ₃ tau persistence Long-term factor persistence | 0.0000 | 0.00 |
Persistence:
0.303
Half-life:
1 days
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