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	35.1934	1.30
αARCH	0.0931	8.64***
βGARCH	0.9692	43.33***
νDF	2.7983	7.46***

Parameter	Value	t-statistic
ω const Unconditional variance weight	35.1934	1.30
α ARCH Response to squared shocks	0.0931	8.64***
β GARCH Volatility persistence	0.9692	43.33***
ν DF Student-t tail thickness	2.7983	7.46***

V-Lab

Luna Innovations Inc GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Luna Innovations Inc Analyses