CBOE 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
mwindow	51
αARCH	0.2942	6.95***
βGARCH	0.6672	19.47***
γleverage	-0.2942	-6.22***
λ₁tau intercept	0.3982	0.45
λ₂forecast adj.	0.0039	0.80
λ₃tau persistence	0.9890	49.03***

Parameter	Value	t-statistic
m window Rolling window length	51
α ARCH Response to squared shocks	0.2942	6.95***
β GARCH Volatility persistence	0.6672	19.47***
γ leverage Additional response to negative shocks	-0.2942	-6.22***
λ₁ tau intercept Baseline long-term coefficient	0.3982	0.45
λ₂ forecast adj. Forecast performance sensitivity	0.0039	0.80
λ₃ tau persistence Long-term factor persistence	0.9890	49.03***

V-Lab

CBOE VIX Indicative Ask Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CBOE VIX Indicative Ask Index Analyses