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	0.0130	6.17***
αARCH	0.0420	6.36***
βGARCH	0.9493	157.99***
γleverage	0.4987	4.38***
δpower	1.4214	7.13***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0130	6.17***
α ARCH Response to squared shocks	0.0420	6.36***
β GARCH Volatility persistence	0.9493	157.99***
γ leverage Additional response to negative shocks	0.4987	4.38***
δ power Transformation power	1.4214	7.13***

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S&P GSCI All Cattle Spot Index APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P GSCI All Cattle Spot Index Analyses