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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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	5.0000	1.70*
αARCH	0.0288	0.60
βGARCH	0.6501	3.70***
γleverage	0.0561	0.59

Parameter	Value	t-statistic
ω const Unconditional variance weight	5.0000	1.70*
α ARCH Response to squared shocks	0.0288	0.60
β GARCH Volatility persistence	0.6501	3.70***
γ leverage Additional response to negative shocks	0.0561	0.59

V-Lab

Onterris Inc GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Onterris Inc Analyses