CBOE Volatility Index

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How volatility evolves over time

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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	36
αARCH	0.0000	0.00
βGARCH	0.7835	26.52***
γleverage	0.2526	7.35***
λ₁tau intercept	0.0562	1.64
λ₂forecast adj.	0.1559	1.93*
λ₃tau persistence	0.7960	7.68***

Parameter	Value	t-statistic
m window Rolling window length	36
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.7835	26.52***
γ leverage Additional response to negative shocks	0.2526	7.35***
λ₁ tau intercept Baseline long-term coefficient	0.0562	1.64
λ₂ forecast adj. Forecast performance sensitivity	0.1559	1.93*
λ₃ tau persistence Long-term factor persistence	0.7960	7.68***

V-Lab

Goldman Sachs Equal Weight US Large Cap Equity ETF MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Goldman Sachs Equal Weight US Large Cap Equity ETF Analyses