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
mwindow	91
αARCH	0.1592	6.07***
βGARCH	0.7446	21.43***
γleverage	-0.0410	-1.29
λ₁tau intercept	0.0019	0.20
λ₂forecast adj.	0.0355	2.24**
λ₃tau persistence	0.9644	59.37***

Parameter	Value	t-statistic
m window Rolling window length	91
α ARCH Response to squared shocks	0.1592	6.07***
β GARCH Volatility persistence	0.7446	21.43***
γ leverage Additional response to negative shocks	-0.0410	-1.29
λ₁ tau intercept Baseline long-term coefficient	0.0019	0.20
λ₂ forecast adj. Forecast performance sensitivity	0.0355	2.24**
λ₃ tau persistence Long-term factor persistence	0.9644	59.37***

V-Lab

Vinalink Intl Freight Forwar MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Vinalink Intl Freight Forwar Analyses