V-Lab
FTSE 100 Implied Volatility Index 30 Days MF2-GARCH Volatility Analysis
Volatility prediction for Friday, September 4th, 2026
1 Day
97.01%
1 Week
98.19%
1 Month
99.79%
Analysis last updated: Tuesday, September 8, 2026 at 11:40 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 3, 2000 to Sep 3, 2026Model Insight
This asset shows a rare inverse leverage effect: volatility responds almost entirely to positive returns, rising far more after gains than after losses. This is the reverse of the usual leverage effect, rare among risky assets.
MF2-GARCH Model
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| Param | Value | t-stat |
|---|---|---|
| mwindow | 26 | |
| αARCH | 0.2025 | 6.97*** |
| βGARCH | 0.7107 | 20.10*** |
| γleverage | -0.1816 | -4.88*** |
| λ₁tau intercept | 0.0783 | 0.97 |
| λ₂forecast adj. | 0.0069 | 2.58*** |
| λ₃tau persistence | 0.9914 | 235.83*** |
0.822
Persistence4d
Half-lifeMF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 26 | |
α ARCH Response to squared shocks | 0.2025 | 6.97*** |
β GARCH Volatility persistence | 0.7107 | 20.10*** |
γ leverage Additional response to negative shocks | -0.1816 | -4.88*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0783 | 0.97 |
λ₂ forecast adj. Forecast performance sensitivity | 0.0069 | 2.58*** |
λ₃ tau persistence Long-term factor persistence | 0.9914 | 235.83*** |
Persistence:
0.822
Half-life:
4 days
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