CBOE Volatility Index

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CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

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CBOE 1-Day Volatility Index

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How volatility evolves over time

How illiquidity evolves over time

{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	46
αARCH	0.2429	4.01***
βGARCH	0.0775	0.90
γleverage	-0.2429	-3.48***
λ₁tau intercept	10.0000	0.85
λ₂forecast adj.	0.0250	1.48
λ₃tau persistence	0.9581	27.48***

Parameter	Value	t-statistic
m window Rolling window length	46
α ARCH Response to squared shocks	0.2429	4.01***
β GARCH Volatility persistence	0.0775	0.90
γ leverage Additional response to negative shocks	-0.2429	-3.48***
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.85
λ₂ forecast adj. Forecast performance sensitivity	0.0250	1.48
λ₃ tau persistence Long-term factor persistence	0.9581	27.48***

V-Lab

CBOE 1-Day Volatility Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CBOE 1-Day Volatility Index Analyses