CBOE Volatility Index

How volatility evolves over time

How illiquidity evolves over time

{name} Model Equation

How returns affect tomorrow's volatility

How returns affect tomorrow's illiquidity

Spline Coefficients

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
ωconst	1.7018	1.16
αARCH	0.0950	0.85
βGARCH	0.6326	2.29**
γleverage	-0.0097	-0.06

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.7018	1.16
α ARCH Response to squared shocks	0.0950	0.85
β GARCH Volatility persistence	0.6326	2.29**
γ leverage Additional response to negative shocks	-0.0097	-0.06

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