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	26
αARCH	0.1794	4.69***
βGARCH	0.5747	7.90***
γleverage	-0.0361	-0.76
λ₁tau intercept	0.2675	1.75*
λ₂forecast adj.	0.0800	2.00**
λ₃tau persistence	0.8850	15.42***

Parameter	Value	t-statistic
m window Rolling window length	26
α ARCH Response to squared shocks	0.1794	4.69***
β GARCH Volatility persistence	0.5747	7.90***
γ leverage Additional response to negative shocks	-0.0361	-0.76
λ₁ tau intercept Baseline long-term coefficient	0.2675	1.75*
λ₂ forecast adj. Forecast performance sensitivity	0.0800	2.00**
λ₃ tau persistence Long-term factor persistence	0.8850	15.42***

V-Lab

Trusval Technology MF2-GARCH Volatility Analysis

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