CBOE Volatility Index

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CBOE DJIA Volatility Index

CBOE Russell 2000 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	0.0705	2.06**
βGARCH	0.1040	1.73*
γleverage	0.1841	2.66***
λ₁tau intercept	0.4652	1.98**
λ₂forecast adj.	0.4365	2.11**
λ₃tau persistence	0.2155	0.59

Parameter	Value	t-statistic
m window Rolling window length	46
α ARCH Response to squared shocks	0.0705	2.06**
β GARCH Volatility persistence	0.1040	1.73*
γ leverage Additional response to negative shocks	0.1841	2.66***
λ₁ tau intercept Baseline long-term coefficient	0.4652	1.98**
λ₂ forecast adj. Forecast performance sensitivity	0.4365	2.11**
λ₃ tau persistence Long-term factor persistence	0.2155	0.59

V-Lab

CME Live Cattle MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CME Live Cattle Analyses