Hungarian Forint MF2-GARCH Volatility Analysis
Volatility prediction for Monday, October 19th, 2026
1 Day
8.68%
1 Week
8.68%
1 Month
9.01%
Analysis last updated: Friday, October 16, 2026 at 07:58 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jun 15, 1993 to Oct 16, 2026Model Insight
This asset shows a rare inverse leverage effect: volatility responds almost entirely to positive returns, rising far more after gains than after losses. This is the reverse of the usual leverage effect, rare among risky assets.
MF2-GARCH Model
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| Param | Value | t-stat |
|---|---|---|
| mwindow | 71 | |
| αARCH | 0.0412 | 4.98*** |
| βGARCH | 0.8975 | 43.12*** |
| γleverage | -0.0341 | -3.44*** |
| λ₁tau intercept | 0.0571 | 4.12*** |
| λ₂forecast adj. | 0.8624 | 10.82*** |
| λ₃tau persistence | 0.0000 | 0.00 |
0.922
Persistence8d
Half-lifeMF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 71 | |
α ARCH Response to squared shocks | 0.0412 | 4.98*** |
β GARCH Volatility persistence | 0.8975 | 43.12*** |
γ leverage Additional response to negative shocks | -0.0341 | -3.44*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0571 | 4.12*** |
λ₂ forecast adj. Forecast performance sensitivity | 0.8624 | 10.82*** |
λ₃ tau persistence Long-term factor persistence | 0.0000 | 0.00 |
Persistence:
0.922
Half-life:
8 days
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