S&P GSCI Silver Index MF2-GARCH Volatility Analysis
Volatility prediction for Friday, July 17th, 2026
1 Day
43.09%
1 Week
42.93%
1 Month
42.17%
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 114% 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
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 121 | |
α ARCH Response to squared shocks | 0.0637 | 26.01*** |
β GARCH Volatility persistence | 0.9373 | 312.22*** |
γ leverage Additional response to negative shocks | -0.0339 | -11.79*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0091 | 8.75*** |
λ₂ forecast adj. Forecast performance sensitivity | 0.0221 | 6.98*** |
λ₃ tau persistence Long-term factor persistence | 0.9757 | 277.03*** |
Persistence:
0.984
Half-life:
43 days
Other S&P GSCI Silver Index Analyses
Other MF2-GARCH Analyses on Commodities