V-Lab
Bellini Nautica S P A MF2-GARCH Volatility Analysis
Volatility prediction for Wednesday, October 7th, 2026
1 Day
55.45%
increased by 18.65%
1 Week
52.73%
increased by 15.93%
1 Month
49.99%
increased by 13.19%
Analysis last updated: Wednesday, October 7, 2026 at 07:27 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jun 15, 2022 to Oct 2, 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 | 26 | |
| αARCH | 0.3655 | 3.07*** |
| βGARCH | 0.1324 | 1.66* |
| γleverage | -0.0013 | -0.01 |
| λ₁tau intercept | 1.5013 | 0.73 |
| λ₂forecast adj. | 0.2262 | 0.69 |
| λ₃tau persistence | 0.5868 | 1.00 |
0.497
Persistence1d
Half-lifeσ
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 26 | |
α ARCH Response to squared shocks | 0.3655 | 3.07*** |
β GARCH Volatility persistence | 0.1324 | 1.66* |
γ leverage Additional response to negative shocks | -0.0013 | -0.01 |
λ₁ tau intercept Baseline long-term coefficient | 1.5013 | 0.73 |
λ₂ forecast adj. Forecast performance sensitivity | 0.2262 | 0.69 |
λ₃ tau persistence Long-term factor persistence | 0.5868 | 1.00 |
Persistence:
0.497
Half-life:
1 days
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