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

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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	0.0110	6.55***
αARCH	0.0438	8.24***
βGARCH	0.9490	185.56***
γleverage	0.4150	5.82***
δpower	1.4814	8.20***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0110	6.55***
α ARCH Response to squared shocks	0.0438	8.24***
β GARCH Volatility persistence	0.9490	185.56***
γ leverage Additional response to negative shocks	0.4150	5.82***
δ power Transformation power	1.4814	8.20***

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S&P GSCI Live Cattle Index APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P GSCI Live Cattle Index Analyses