CBOE Volatility Index

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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	5.0000	1.09
αARCH	0.3138	1.40
βGARCH	0.6647	5.68***
γleverage	-0.0331	-0.08

Parameter	Value	t-statistic
ω const Unconditional variance weight	5.0000	1.09
α ARCH Response to squared shocks	0.3138	1.40
β GARCH Volatility persistence	0.6647	5.68***
γ leverage Additional response to negative shocks	-0.0331	-0.08

V-Lab

VenHub Global Inc GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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