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	51
αARCH	0.2714	3.13***
βGARCH	0.7226	11.52***
γleverage	-0.2243	-1.89*
λ₁tau intercept	0.1713	1.28
λ₂forecast adj.	0.2061	3.53***
λ₃tau persistence	0.7939	13.42***

Parameter	Value	t-statistic
m window Rolling window length	51
α ARCH Response to squared shocks	0.2714	3.13***
β GARCH Volatility persistence	0.7226	11.52***
γ leverage Additional response to negative shocks	-0.2243	-1.89*
λ₁ tau intercept Baseline long-term coefficient	0.1713	1.28
λ₂ forecast adj. Forecast performance sensitivity	0.2061	3.53***
λ₃ tau persistence Long-term factor persistence	0.7939	13.42***

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Dana Brata Luhur Tbk PT MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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