V-Lab
DAX Volatility Index MF2-GARCH Volatility Analysis
Volatility prediction for Friday, September 4th, 2026
1 Day
85.75%
1 Week
87.45%
1 Month
89.97%
Analysis last updated: Friday, September 4, 2026 at 11:28 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 2, 1992 to Aug 27, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 365% more than negative returns. Volatility rises more after gains than after losses, the reverse of the usual leverage effect and uncommon among risky assets.
MF2-GARCH Model
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| Param | Value | t-stat |
|---|---|---|
| mwindow | 26 | |
| αARCH | 0.1611 | 9.77*** |
| βGARCH | 0.7544 | 31.18*** |
| γleverage | -0.1265 | -4.98*** |
| λ₁tau intercept | 0.0825 | 1.81* |
| λ₂forecast adj. | 0.0121 | 3.95*** |
| λ₃tau persistence | 0.9852 | 254.90*** |
0.852
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 | 0.1611 | 9.77*** |
β GARCH Volatility persistence | 0.7544 | 31.18*** |
γ leverage Additional response to negative shocks | -0.1265 | -4.98*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0825 | 1.81* |
λ₂ forecast adj. Forecast performance sensitivity | 0.0121 | 3.95*** |
λ₃ tau persistence Long-term factor persistence | 0.9852 | 254.90*** |
Persistence:
0.852
Half-life:
4 days
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