South Korean Won MF2-GARCH Volatility Analysis
Volatility prediction for Wednesday, October 14th, 2026
1 Day
8.28%
1 Week
8.51%
1 Month
8.98%
Analysis last updated: Tuesday, October 13, 2026 at 07:11 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 2, 1990 to Oct 9, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 92% more than negative returns. Volatility rises more after gains than after losses, the reverse of the usual leverage effect and uncommon among risky assets.
MF2-GARCH Model
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| Param | Value | t-stat |
|---|---|---|
| mwindow | 31 | |
| αARCH | 0.1149 | 8.85*** |
| βGARCH | 0.8384 | 49.85*** |
| γleverage | -0.0550 | -3.55*** |
| λ₁tau intercept | 0.0001 | 2.46** |
| λ₂forecast adj. | 0.0303 | 7.50*** |
| λ₃tau persistence | 0.9697 | 237.38*** |
0.926
Persistence9d
Half-lifeMF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 31 | |
α ARCH Response to squared shocks | 0.1149 | 8.85*** |
β GARCH Volatility persistence | 0.8384 | 49.85*** |
γ leverage Additional response to negative shocks | -0.0550 | -3.55*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0001 | 2.46** |
λ₂ forecast adj. Forecast performance sensitivity | 0.0303 | 7.50*** |
λ₃ tau persistence Long-term factor persistence | 0.9697 | 237.38*** |
Persistence:
0.926
Half-life:
9 days
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