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

CBOE 1-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	106
αARCH	0.0000	0.00
βGARCH	0.8474	16.15***
γleverage	0.2462	5.84***
λ₁tau intercept	0.2889	0.48
λ₂forecast adj.	0.0000	0.00
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	106
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.8474	16.15***
γ leverage Additional response to negative shocks	0.2462	5.84***
λ₁ tau intercept Baseline long-term coefficient	0.2889	0.48
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.00
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

V-Lab

FT Vest US EQ MO BU ETF July MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other FT Vest US EQ MO BU ETF July Analyses