V-Lab
Intel Corp MF2-GARCH Volatility Analysis
Volatility prediction for Monday, September 14th, 2026
1 Day
74.94%
decreased by 1.53%
1 Week
76.38%
decreased by 0.09%
1 Month
79.60%
increased by 3.13%
Analysis last updated: Friday, September 11, 2026 at 11:01 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 2, 1990 to Sep 11, 2026Model Insight
This asset exhibits a notable leverage effect: negative returns increase next-day volatility 88% more than equivalent positive returns.
σ
MF2-GARCH Model
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Leverage: Negative returns increase volatility 88% more than positive returns
| Param | Value | t-stat |
|---|---|---|
| mwindow | 126 | |
| αARCH | 0.0469 | 3.56*** |
| βGARCH | 0.8119 | 24.62*** |
| γleverage | 0.0414 | 1.99** |
| λ₁tau intercept | 0.0485 | 0.87 |
| λ₂forecast adj. | 0.0814 | 1.14 |
| λ₃tau persistence | 0.9122 | 11.60*** |
0.879
Persistence5d
Half-lifeσ
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 126 | |
α ARCH Response to squared shocks | 0.0469 | 3.56*** |
β GARCH Volatility persistence | 0.8119 | 24.62*** |
γ leverage Additional response to negative shocks | 0.0414 | 1.99** |
λ₁ tau intercept Baseline long-term coefficient | 0.0485 | 0.87 |
λ₂ forecast adj. Forecast performance sensitivity | 0.0814 | 1.14 |
λ₃ tau persistence Long-term factor persistence | 0.9122 | 11.60*** |
Persistence:
0.879
Half-life:
5 days
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