S&P GSCI Soybeans Index MF2-GARCH Volatility Analysis
Volatility prediction for Friday, July 17th, 2026
1 Day
18.54%
1 Week
18.65%
1 Month
19.04%
Analysis last updated: Thursday, July 16, 2026 at 11:04 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 2, 1990 to Jul 10, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 39% 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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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 101 | |
α ARCH Response to squared shocks | 0.0774 | 39.17*** |
β GARCH Volatility persistence | 0.9152 | 420.99*** |
γ leverage Additional response to negative shocks | -0.0215 | -8.66*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0017 | 12.18*** |
λ₂ forecast adj. Forecast performance sensitivity | 0.0032 | 9.05*** |
λ₃ tau persistence Long-term factor persistence | 0.9959 | 2,343.37*** |
Persistence:
0.982
Half-life:
38 days
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