CBOE Volatility Index

CBOE NASDAQ-100 Volatility Index

CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

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How volatility evolves over time

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{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	81.1807	0.88
αARCH	0.1276	3.61***
βGARCH	0.9054	7.89***
νDF	2.4970	4.27***

Parameter	Value	t-statistic
ω const Unconditional variance weight	81.1807	0.88
α ARCH Response to squared shocks	0.1276	3.61***
β GARCH Volatility persistence	0.9054	7.89***
ν DF Student-t tail thickness	2.4970	4.27***

V-Lab

CBOE IBM Volatility Index GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CBOE IBM Volatility Index Analyses