CBOE Volatility Index

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CBOE DJIA Volatility Index

CBOE Russell 2000 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	0.8658	7.39***
αARCH	0.0671	7.92***
βGARCH	0.9163	104.48***

γ₁	-0.0092	-2.90***
γ₂	0.0161	2.66***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.8658	7.39***
α ARCH Response to squared shocks	0.0671	7.92***
β GARCH Volatility persistence	0.9163	104.48***

γ₁	-0.0092	-2.90***
γ₂	0.0161	2.66***

V-Lab

CBOT Soybeans Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other CBOT Soybeans Analyses