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	0.2761	4.55***
αARCH	0.2441	6.78***
βGARCH	0.9220	46.21***
γleverage	0.0318	0.88

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.2761	4.55***
α ARCH Response to squared shocks	0.2441	6.78***
β GARCH Volatility persistence	0.9220	46.21***
γ leverage Additional response to negative shocks	0.0318	0.88

V-Lab

Varopakorn Co EGARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Varopakorn Co Analyses