CBOE Volatility Index

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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	5.0000	1.30
αARCH	0.1493	1.13
βGARCH	0.8386	12.07***
γleverage	-0.1493	-1.10

Parameter	Value	t-statistic
ω const Unconditional variance weight	5.0000	1.30
α ARCH Response to squared shocks	0.1493	1.13
β GARCH Volatility persistence	0.8386	12.07***
γ leverage Additional response to negative shocks	-0.1493	-1.10

V-Lab

CBOE Amazon Volatility Index GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CBOE Amazon Volatility Index Analyses