S&P GSCI Biofuel Spot Index MF2-GARCH Volatility Analysis
High-persistence model: shocks decay very slowly, so the theoretical long-run value may not be practically meaningful
Volatility prediction for Thursday, July 9th, 2026
1 Day
4.65%
1 Week
7.18%
1 Month
15.60%
Analysis last updated: Thursday, July 9, 2026 at 12:23 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 16, 1995 to Jun 26, 2026Model Insight
Estimated persistence of 1.000 is at or above 1 (non-stationary): volatility shocks do not decay and the long-run variance is undefined, so long-horizon forecasts should be treated with caution.
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 51 | |
α ARCH Response to squared shocks | 1.0000 | |
β GARCH Volatility persistence | 0.0000 | |
γ leverage Additional response to negative shocks | 0.0000 | |
λ₁ tau intercept Baseline long-term coefficient | 0.8878 | 31.63*** |
λ₂ forecast adj. Forecast performance sensitivity | 0.3605 | 32.75*** |
λ₃ tau persistence Long-term factor persistence | 0.0000 | 0.00 |
Persistence:
1.000
Half-life:
-
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