CBOE Google 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	0.0965	2.44**
αARCH	0.0328	3.22***
βGARCH	0.9224	50.51***
γleverage	0.0398	1.64

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0965	2.44**
α ARCH Response to squared shocks	0.0328	3.22***
β GARCH Volatility persistence	0.9224	50.51***
γ leverage Additional response to negative shocks	0.0398	1.64

V-Lab

Alphabet Inc GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Alphabet Inc Analyses