S&P GSCI Coffee Index MF2-GARCH Volatility Analysis
Volatility prediction for Friday, July 17th, 2026
1 Day
79.12%
1 Week
76.52%
1 Month
68.31%
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: 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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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 56 | |
α ARCH Response to squared shocks | 0.1081 | 26.95*** |
β GARCH Volatility persistence | 0.8876 | 154.09*** |
γ leverage Additional response to negative shocks | -0.0933 | -21.87*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0221 | 4.19*** |
λ₂ forecast adj. Forecast performance sensitivity | 0.0166 | 4.57*** |
λ₃ tau persistence Long-term factor persistence | 0.9790 | 217.03*** |
Persistence:
0.949
Half-life:
13 days
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