CBOE Volatility Index

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CBOE DJIA Volatility Index

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How volatility evolves over time

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{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
ωconst	0.6559	9.86***
αARCH	0.0602	6.81***
βGARCH	0.9084	63.97***

γ₁	-0.0124	-5.06***
γ₂	0.0169	4.82***
γ₃	-0.0055	-3.27***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.6559	9.86***
α ARCH Response to squared shocks	0.0602	6.81***
β GARCH Volatility persistence	0.9084	63.97***

γ₁	-0.0124	-5.06***
γ₂	0.0169	4.82***
γ₃	-0.0055	-3.27***

V-Lab

S&P GSCI Coffee Index Zero Slope Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P GSCI Coffee Index Analyses