CBOE 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	0.0069	2.87***
αARCH	0.0323	5.56***
βGARCH	0.9667	224.77***
γleverage	-0.0232	-0.32
δpower	1.8950	6.98***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0069	2.87***
α ARCH Response to squared shocks	0.0323	5.56***
β GARCH Volatility persistence	0.9667	224.77***
γ leverage Additional response to negative shocks	-0.0232	-0.32
δ power Transformation power	1.8950	6.98***

V-Lab

S&P GSCI Lead Spot Index APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P GSCI Lead Spot Index Analyses