CBOE Google Volatility Index

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CBOE NASDAQ-100 Volatility Index

CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

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{name} Model Equation

How returns affect tomorrow's volatility

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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	0.0451	3.10***
αARCH	0.0821	5.13***
βGARCH	0.9046	44.60***
γleverage	0.1878	1.29
δpower	0.5000	2.85***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0451	3.10***
α ARCH Response to squared shocks	0.0821	5.13***
β GARCH Volatility persistence	0.9046	44.60***
γ leverage Additional response to negative shocks	0.1878	1.29
δ power Transformation power	0.5000	2.85***

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Alphabet Inc APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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