V-Lab
S&P Asia 50 CME MF2-GARCH Volatility Analysis
Volatility prediction for Friday, September 4th, 2026
1 Day
35.13%
decreased by 0.93%
1 Week
35.79%
decreased by 0.27%
1 Month
35.30%
decreased by 0.76%
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 1, 1998 to Aug 27, 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 | 31 | |
| αARCH | 0.0000 | 0.00 |
| βGARCH | 0.8348 | 47.65*** |
| γleverage | 0.1340 | 8.92*** |
| λ₁tau intercept | 0.0160 | 2.78*** |
| λ₂forecast adj. | 0.0760 | 4.23*** |
| λ₃tau persistence | 0.9163 | 48.28*** |
0.902
Persistence7d
Half-lifeσ
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 31 | |
α ARCH Response to squared shocks | 0.0000 | 0.00 |
β GARCH Volatility persistence | 0.8348 | 47.65*** |
γ leverage Additional response to negative shocks | 0.1340 | 8.92*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0160 | 2.78*** |
λ₂ forecast adj. Forecast performance sensitivity | 0.0760 | 4.23*** |
λ₃ tau persistence Long-term factor persistence | 0.9163 | 48.28*** |
Persistence:
0.902
Half-life:
7 days
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