S&P GSCI Coffee Index AGARCH Volatility Analysis
Volatility prediction for Wednesday, July 15th, 2026
1 Day
79.77%
decreased by 3.60%
1 Week
78.17%
decreased by 5.20%
1 Month
72.50%
decreased by 10.87%
Analysis last updated: Tuesday, July 14, 2026 at 11:10 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
The news-impact curve is shifted (γ = -1.02) so that positive returns raise next-day volatility more than negative returns of the same size. Volatility rises more after gains than after losses, the reverse of the usual leverage effect and rare among risky assets.
σ
AGARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0607 | 8.99*** |
α ARCH Response to squared shocks | 0.0628 | 34.29*** |
β GARCH Volatility persistence | 0.9119 | 358.29*** |
γ leverage Additional response to negative shocks | -1.0215 | -25.61*** |
Persistence:
0.975
Half-life:
27 days
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