CBOE 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	51
αARCH	0.0013	0.16
βGARCH	0.9095	68.18***
γleverage	0.0746	6.93***
λ₁tau intercept	0.0141	1.60
λ₂forecast adj.	0.0626	2.15**
λ₃tau persistence	0.9222	24.57***

Parameter	Value	t-statistic
m window Rolling window length	51
α ARCH Response to squared shocks	0.0013	0.16
β GARCH Volatility persistence	0.9095	68.18***
γ leverage Additional response to negative shocks	0.0746	6.93***
λ₁ tau intercept Baseline long-term coefficient	0.0141	1.60
λ₂ forecast adj. Forecast performance sensitivity	0.0626	2.15**
λ₃ tau persistence Long-term factor persistence	0.9222	24.57***

V-Lab

S&P GSCI All Cattle Spot Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P GSCI All Cattle Spot Index Analyses