V-Lab
KraneShares Public-Private AI & Technology ETF MF2-GARCH Volatility Analysis
Volatility prediction for Monday, September 21st, 2026
1 Day
28.78%
decreased by 0.37%
1 Week
30.03%
increased by 0.88%
1 Month
30.94%
increased by 1.79%
Analysis last updated: Friday, September 18, 2026 at 10:08 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jul 18, 2024 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 | 51 | |
| αARCH | 0.0000 | 0.00 |
| βGARCH | 0.6333 | 7.37*** |
| γleverage | 0.1471 | 3.87*** |
| λ₁tau intercept | 0.7042 | 3.75*** |
| λ₂forecast adj. | 0.6535 | 6.85*** |
| λ₃tau persistence | 0.1662 | 1.39 |
0.707
Persistence2d
Half-lifeσ
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 51 | |
α ARCH Response to squared shocks | 0.0000 | 0.00 |
β GARCH Volatility persistence | 0.6333 | 7.37*** |
γ leverage Additional response to negative shocks | 0.1471 | 3.87*** |
λ₁ tau intercept Baseline long-term coefficient | 0.7042 | 3.75*** |
λ₂ forecast adj. Forecast performance sensitivity | 0.6535 | 6.85*** |
λ₃ tau persistence Long-term factor persistence | 0.1662 | 1.39 |
Persistence:
0.707
Half-life:
2 days
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