CBOE Volatility Index

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CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

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CBOE Skew 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	0.0245	4.84***
αARCH	0.1772	9.99***
βGARCH	0.8135	45.32***
γleverage	0.0250	0.77
δpower	0.7280	2.35**

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0245	4.84***
α ARCH Response to squared shocks	0.1772	9.99***
β GARCH Volatility persistence	0.8135	45.32***
γ leverage Additional response to negative shocks	0.0250	0.77
δ power Transformation power	0.7280	2.35**

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