CBOE Volatility Index

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CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

CBOE S&P 500 9-Day Volatility Index

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CBOE Skew Index

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	71
αARCH	0.0336	2.96***
βGARCH	0.8819	62.01***
γleverage	0.0894	4.83***
λ₁tau intercept	0.0083	1.63
λ₂forecast adj.	0.0157	2.27**
λ₃tau persistence	0.9801	107.37***

Parameter	Value	t-statistic
m window Rolling window length	71
α ARCH Response to squared shocks	0.0336	2.96***
β GARCH Volatility persistence	0.8819	62.01***
γ leverage Additional response to negative shocks	0.0894	4.83***
λ₁ tau intercept Baseline long-term coefficient	0.0083	1.63
λ₂ forecast adj. Forecast performance sensitivity	0.0157	2.27**
λ₃ tau persistence Long-term factor persistence	0.9801	107.37***

V-Lab

Dow Jones Transportation Average MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Dow Jones Transportation Average Analyses