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	0.1583	7.90***
αARCH	0.1695	9.44***
βGARCH	0.7687	66.24***
γleverage	0.0720	2.33**

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.1583	7.90***
α ARCH Response to squared shocks	0.1695	9.44***
β GARCH Volatility persistence	0.7687	66.24***
γ leverage Additional response to negative shocks	0.0720	2.33**

V-Lab

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Date Range:

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