CBOE Emerging Market Markets 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	0.0980	4.14***
αARCH	0.1627	12.95***
βGARCH	0.8267	61.93***
γleverage	-0.0341	-1.04
δpower	1.5804	6.60***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0980	4.14***
α ARCH Response to squared shocks	0.1627	12.95***
β GARCH Volatility persistence	0.8267	61.93***
γ leverage Additional response to negative shocks	-0.0341	-1.04
δ power Transformation power	1.5804	6.60***

V-Lab

Kinik Co Asy. Power MEM Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Kinik Co Analyses