Mobile-Health Network Soltns MF2-GARCH Volatility Analysis
Volatility prediction for Monday, October 26th, 2026
1 Day
116.88%
decreased by 26.84%
1 Week
138.76%
decreased by 4.96%
1 Month
170.96%
increased by 27.24%
Analysis last updated: Friday, October 23, 2026 at 10:21 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Apr 10, 2024 to Oct 23, 2026Boundary Parameters
Model Insight
Volatility shocks decay with a half-life of 5 trading days, meaning a shock loses half its impact after approximately 5 days.
σ
MF2-GARCH Model
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Shock decay: Shocks decay with a 5-day half-life
| Param | Value | t-stat |
|---|---|---|
| mwindow | 21 | |
| αARCH | 0.4571 | 2.62*** |
| βGARCH | 0.3954 | 7.85*** |
| γleverage | 0.0178 | 0.06 |
| λ₁tau intercept | 10.0000 | 0.03 |
| λ₂forecast adj. | 0.0000 | 0.00 |
| λ₃tau persistence | 0.9316 | 0.34 |
0.861
Persistence5d
Half-lifeσ
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 21 | |
α ARCH Response to squared shocks | 0.4571 | 2.62*** |
β GARCH Volatility persistence | 0.3954 | 7.85*** |
γ leverage Additional response to negative shocks | 0.0178 | 0.06 |
λ₁ tau intercept Baseline long-term coefficient | 10.0000 | 0.03 |
λ₂ forecast adj. Forecast performance sensitivity | 0.0000 | 0.00 |
λ₃ tau persistence Long-term factor persistence | 0.9316 | 0.34 |
Persistence:
0.861
Half-life:
5 days
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