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
mwindow	91
αARCH	0.1515	10.18***
βGARCH	0.7015	34.59***
γleverage	0.0966	4.29***
λ₁tau intercept	0.2330	3.10***
λ₂forecast adj.	0.8752	19.40***
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	91
α ARCH Response to squared shocks	0.1515	10.18***
β GARCH Volatility persistence	0.7015	34.59***
γ leverage Additional response to negative shocks	0.0966	4.29***
λ₁ tau intercept Baseline long-term coefficient	0.2330	3.10***
λ₂ forecast adj. Forecast performance sensitivity	0.8752	19.40***
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

V-Lab

MSCI NUAM Peru General Index Gross MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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