CBOE Volatility Index

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CBOE DJIA 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	71
αARCH	0.0045	0.42
βGARCH	0.8804	58.03***
γleverage	0.1224	6.62***
λ₁tau intercept	0.0826	1.13
λ₂forecast adj.	0.0708	1.30
λ₃tau persistence	0.9069	12.36***

Parameter	Value	t-statistic
m window Rolling window length	71
α ARCH Response to squared shocks	0.0045	0.42
β GARCH Volatility persistence	0.8804	58.03***
γ leverage Additional response to negative shocks	0.1224	6.62***
λ₁ tau intercept Baseline long-term coefficient	0.0826	1.13
λ₂ forecast adj. Forecast performance sensitivity	0.0708	1.30
λ₃ tau persistence Long-term factor persistence	0.9069	12.36***

V-Lab

State Street SPDR S&P Biotech ETF MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other State Street SPDR S&P Biotech ETF Analyses