KraneShares Public-Private AI & Technology ETF GAS-GARCH Student T Volatility Analysis
Volatility prediction for Tuesday, November 10th, 2026
1 Day
54.02%
increased by 2.59%
1 Week
53.29%
increased by 1.86%
1 Month
50.70%
decreased by 0.73%
Analysis last updated: Monday, November 9, 2026 at 10:23 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jul 18, 2024 to Nov 6, 2026Model Insight
Volatility shocks decay with a half-life of 30 trading days, meaning a shock loses half its impact after approximately 30 days. Returns follow a Student-t distribution with v = 9.40 degrees of freedom, capturing fatter tails than a normal distribution.
𝑓
GAS-GARCH-T Model
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Shock decay: Shocks decay with a 30-day half-lifev = 9.40 · fat tails
| Param | Value | t-stat |
|---|---|---|
| ωlong-run | 4.6111 | 1.44 |
| αscore | 0.0820 | 2.05** |
| βpersistence | 0.9772 | 61.49*** |
| νDF | 9.3993 | 0.32 |
0.977
Persistence30d
Half-life𝑓
GAS-GARCH-T Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω long-run Long-run variance given a price move | 4.6111 | 1.44 |
α score Weight on the scaled score | 0.0820 | 2.05** |
β persistence Volatility persistence | 0.9772 | 61.49*** |
ν DF Student-t tail thickness | 9.3993 | 0.32 |
Persistence:
0.977
Half-life:
30 days
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