CBOE Volatility Index

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CBOE DJIA 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	1.2359	8.42***
αARCH	0.1354	7.61***
βGARCH	0.8180	39.10***

γ₁	0.0293	4.48***
γ₂	-0.0382	-4.56***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.2359	8.42***
α ARCH Response to squared shocks	0.1354	7.61***
β GARCH Volatility persistence	0.8180	39.10***

γ₁	0.0293	4.48***
γ₂	-0.0382	-4.56***

V-Lab

Schwab U.S. Mid-Cap ETF Zero Slope Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Schwab U.S. Mid-Cap ETF Analyses