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	1,329.6115	0.87
αARCH	0.1150	19.67***
βGARCH	0.9839	52.14***
νDF	2.0047	1,990.81***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1,329.6115	0.87
α ARCH Response to squared shocks	0.1150	19.67***
β GARCH Volatility persistence	0.9839	52.14***
ν DF Student-t tail thickness	2.0047	1,990.81***

V-Lab

Vinacomin Vang Danh Coal GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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