V-Lab
SMI Volatility Index MF2-GARCH Volatility Analysis
Volatility prediction for Friday, September 4th, 2026
1 Day
68.08%
1 Week
70.44%
1 Month
74.56%
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 4, 1999 to Aug 27, 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 | 0.1940 | 9.40*** |
| βGARCH | 0.7719 | 33.51*** |
| γleverage | -0.1901 | -8.72*** |
| λ₁tau intercept | 0.0387 | 1.26 |
| λ₂forecast adj. | 0.0057 | 2.36** |
| λ₃tau persistence | 0.9929 | 325.13*** |
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 | 0.1940 | 9.40*** |
β GARCH Volatility persistence | 0.7719 | 33.51*** |
γ leverage Additional response to negative shocks | -0.1901 | -8.72*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0387 | 1.26 |
λ₂ forecast adj. Forecast performance sensitivity | 0.0057 | 2.36** |
λ₃ tau persistence Long-term factor persistence | 0.9929 | 325.13*** |
Persistence:
0.871
Half-life:
5 days
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