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	0.5154	1.44
αARCH	0.1696	4.59***
βGARCH	0.8304	25.43***
γleverage	0.1677	1.40
δpower	1.6128	4.31***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.5154	1.44
α ARCH Response to squared shocks	0.1696	4.59***
β GARCH Volatility persistence	0.8304	25.43***
γ leverage Additional response to negative shocks	0.1677	1.40
δ power Transformation power	1.6128	4.31***

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Trust Finance Indonesia Tbk PT APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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