CBOE Volatility Index

CBOE NASDAQ-100 Volatility Index

CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

CBOE S&P 500 9-Day Volatility Index

CBOE 3-Month 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	91
αARCH	0.5015	27.92***
βGARCH	0.4698	50.70***
γleverage	-0.5000	-27.73***
λ₁tau intercept	0.0000	0.01
λ₂forecast adj.	0.9313	19.25***
λ₃tau persistence	0.0000	3.33***

Parameter	Value	t-statistic
m window Rolling window length	91
α ARCH Response to squared shocks	0.5015	27.92***
β GARCH Volatility persistence	0.4698	50.70***
γ leverage Additional response to negative shocks	-0.5000	-27.73***
λ₁ tau intercept Baseline long-term coefficient	0.0000	0.01
λ₂ forecast adj. Forecast performance sensitivity	0.9313	19.25***
λ₃ tau persistence Long-term factor persistence	0.0000	3.33***

V-Lab

Cardinal Infrastructure Group Inc MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Cardinal Infrastructure Group Inc Analyses