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	1.0151	4.87***
αARCH	0.1210	6.38***
βGARCH	0.8404	30.16***

γ₁	0.0043	0.61
γ₂	-0.0144	-1.22
γ₃	0.0255	2.06**

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0151	4.87***
α ARCH Response to squared shocks	0.1210	6.38***
β GARCH Volatility persistence	0.8404	30.16***

γ₁	0.0043	0.61
γ₂	-0.0144	-1.22
γ₃	0.0255	2.06**

V-Lab

Egyptian EGX 30 Price Return Index Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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