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	0.0261	3.67***
αARCH	0.0774	7.66***
βGARCH	0.9226	105.20***
γleverage	-0.0652	-0.87
δpower	1.3906	6.11***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0261	3.67***
α ARCH Response to squared shocks	0.0774	7.66***
β GARCH Volatility persistence	0.9226	105.20***
γ leverage Additional response to negative shocks	-0.0652	-0.87
δ power Transformation power	1.3906	6.11***

V-Lab

CBOT Soybeans APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CBOT Soybeans Analyses