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	61
αARCH	0.1650	4.83***
βGARCH	0.6153	9.64***
γleverage	-0.0573	-1.39
λ₁tau intercept	1.0199	2.78***
λ₂forecast adj.	0.8814	9.23***
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	61
α ARCH Response to squared shocks	0.1650	4.83***
β GARCH Volatility persistence	0.6153	9.64***
γ leverage Additional response to negative shocks	-0.0573	-1.39
λ₁ tau intercept Baseline long-term coefficient	1.0199	2.78***
λ₂ forecast adj. Forecast performance sensitivity	0.8814	9.23***
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

V-Lab

Vinacomin Vang Danh Coal MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Vinacomin Vang Danh Coal Analyses