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	71
αARCH	0.1692	7.66***
βGARCH	0.6917	21.31***
γleverage	0.0462	1.52
λ₁tau intercept	0.3276	0.85
λ₂forecast adj.	0.0723	0.88
λ₃tau persistence	0.8860	6.90***

Parameter	Value	t-statistic
m window Rolling window length	71
α ARCH Response to squared shocks	0.1692	7.66***
β GARCH Volatility persistence	0.6917	21.31***
γ leverage Additional response to negative shocks	0.0462	1.52
λ₁ tau intercept Baseline long-term coefficient	0.3276	0.85
λ₂ forecast adj. Forecast performance sensitivity	0.0723	0.88
λ₃ tau persistence Long-term factor persistence	0.8860	6.90***

V-Lab

Tourism Enterprise Co MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Tourism Enterprise Co Analyses