CBOE Volatility Index

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CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

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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	86
αARCH	0.0205	3.47***
βGARCH	0.9078	86.25***
γleverage	0.0540	6.60***
λ₁tau intercept	0.0034	1.53
λ₂forecast adj.	0.0187	2.28**
λ₃tau persistence	0.9771	94.17***

Parameter	Value	t-statistic
m window Rolling window length	86
α ARCH Response to squared shocks	0.0205	3.47***
β GARCH Volatility persistence	0.9078	86.25***
γ leverage Additional response to negative shocks	0.0540	6.60***
λ₁ tau intercept Baseline long-term coefficient	0.0034	1.53
λ₂ forecast adj. Forecast performance sensitivity	0.0187	2.28**
λ₃ tau persistence Long-term factor persistence	0.9771	94.17***

V-Lab

S&P GSCI Livestock Spot Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P GSCI Livestock Spot Index Analyses