S&P GSCI Wheat Index MF2-GARCH Volatility Analysis
Volatility prediction for Wednesday, July 15th, 2026
1 Day
27.95%
1 Week
27.97%
1 Month
27.81%
Analysis last updated: Tuesday, July 14, 2026 at 11:11 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 173% 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 | 76 | |
α ARCH Response to squared shocks | 0.0649 | 18.15*** |
β GARCH Volatility persistence | 0.8948 | 204.49*** |
γ leverage Additional response to negative shocks | -0.0412 | -17.17*** |
λ₁ tau intercept Baseline long-term coefficient | 0.3578 | 0.16 |
λ₂ forecast adj. Forecast performance sensitivity | 0.7926 | 0.16 |
λ₃ tau persistence Long-term factor persistence | 0.0849 | 0.01 |
Persistence:
0.939
Half-life:
11 days
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