CBOE Volatility Index

CBOE NASDAQ-100 Volatility Index

CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

CBOE S&P 500 9-Day 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	0.2096	2.81***
αARCH	0.1426	6.84***
βGARCH	0.8380	35.65***
γleverage	-0.1209	-1.76*
δpower	0.9394	4.49***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.2096	2.81***
α ARCH Response to squared shocks	0.1426	6.84***
β GARCH Volatility persistence	0.8380	35.65***
γ leverage Additional response to negative shocks	-0.1209	-1.76*
δ power Transformation power	0.9394	4.49***

V-Lab

CBOE Crude Oil Volatility Index Asy. Power MEM Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CBOE Crude Oil Volatility Index Analyses