CBOE Volatility Index

How volatility evolves over time

How illiquidity evolves over time

{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	0.0446	3.00***
αARCH	0.0670	3.08***
βGARCH	0.9383	112.68***
γleverage	-0.0217	-0.63

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0446	3.00***
α ARCH Response to squared shocks	0.0670	3.08***
β GARCH Volatility persistence	0.9383	112.68***
γ leverage Additional response to negative shocks	-0.0217	-0.63

V-Lab

Vinalink Intl Freight Forwar GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Vinalink Intl Freight Forwar Analyses