V-Lab
SMI Volatility Index MF2-GARCH Volatility Analysis
Volatility prediction for Friday, September 11th, 2026
1 Day
95.06%
1 Week
91.47%
1 Month
84.57%
Analysis last updated: Saturday, September 12, 2026 at 12:51 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 4, 1999 to Sep 10, 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 | 21 | |
| αARCH | 0.1939 | 9.41*** |
| βGARCH | 0.7720 | 33.55*** |
| γleverage | -0.1900 | -8.73*** |
| λ₁tau intercept | 0.0386 | 1.26 |
| λ₂forecast adj. | 0.0056 | 2.36** |
| λ₃tau persistence | 0.9930 | 326.53*** |
0.871
Persistence5d
Half-lifeMF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 21 | |
α ARCH Response to squared shocks | 0.1939 | 9.41*** |
β GARCH Volatility persistence | 0.7720 | 33.55*** |
γ leverage Additional response to negative shocks | -0.1900 | -8.73*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0386 | 1.26 |
λ₂ forecast adj. Forecast performance sensitivity | 0.0056 | 2.36** |
λ₃ tau persistence Long-term factor persistence | 0.9930 | 326.53*** |
Persistence:
0.871
Half-life:
5 days
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