V-Lab
LANXESS AG MF2-GARCH Volatility Analysis
Volatility prediction for Monday, September 21st, 2026
1 Day
43.48%
increased by 1.48%
1 Week
43.37%
increased by 1.37%
1 Month
42.96%
increased by 0.96%
Analysis last updated: Saturday, September 19, 2026 at 08:40 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 31, 2005 to Sep 18, 2026Model Insight
This asset exhibits a strong leverage effect: volatility responds almost entirely to negative shocks. The ARCH response to positive shocks is negligible.
σ
MF2-GARCH Model
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Leverage: volatility responds almost entirely to negative shocks
| Param | Value | t-stat |
|---|---|---|
| mwindow | 126 | |
| αARCH | 0.0089 | 1.41 |
| βGARCH | 0.9364 | 117.91*** |
| γleverage | 0.0817 | 6.14*** |
| λ₁tau intercept | 3.1575 | 0.09 |
| λ₂forecast adj. | 0.0000 | 0.00 |
| λ₃tau persistence | 0.4816 | 0.08 |
0.986
Persistence50d
Half-lifeσ
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 126 | |
α ARCH Response to squared shocks | 0.0089 | 1.41 |
β GARCH Volatility persistence | 0.9364 | 117.91*** |
γ leverage Additional response to negative shocks | 0.0817 | 6.14*** |
λ₁ tau intercept Baseline long-term coefficient | 3.1575 | 0.09 |
λ₂ forecast adj. Forecast performance sensitivity | 0.0000 | 0.00 |
λ₃ tau persistence Long-term factor persistence | 0.4816 | 0.08 |
Persistence:
0.986
Half-life:
50 days
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