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{name} Model Equation

How returns affect tomorrow's volatility

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Value at Risk (VaR) estimates the maximum loss at a given confidence level. Expected Shortfall (ES) estimates the average loss beyond VaR.

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Param	Value	t-stat
mwindow	121
αARCH	0.0637	6.98***
βGARCH	0.9372	102.59***
γleverage	-0.0340	-3.11***
λ₁tau intercept	0.0092	1.01
λ₂forecast adj.	0.0222	1.74*
λ₃tau persistence	0.9755	67.04***

Parameter	Value	t-statistic
m window Rolling window length	121
α ARCH Response to squared shocks	0.0637	6.98***
β GARCH Volatility persistence	0.9372	102.59***
γ leverage Additional response to negative shocks	-0.0340	-3.11***
λ₁ tau intercept Baseline long-term coefficient	0.0092	1.01
λ₂ forecast adj. Forecast performance sensitivity	0.0222	1.74*
λ₃ tau persistence Long-term factor persistence	0.9755	67.04***

V-Lab

S&P GSCI Silver Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P GSCI Silver Index Analyses