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	2.9459	1.41
αARCH	0.0848	4.85***
βGARCH	0.9682	39.98***
νDF	4.1862	1.97**

Parameter	Value	t-statistic
ω const Unconditional variance weight	2.9459	1.41
α ARCH Response to squared shocks	0.0848	4.85***
β GARCH Volatility persistence	0.9682	39.98***
ν DF Student-t tail thickness	4.1862	1.97**

V-Lab

Sonda S.A. GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Sonda S.A. Analyses