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	0.1563	4.03***
αARCH	0.2015	10.21***
βGARCH	0.7865	51.47***
γleverage	0.4879	3.34***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.1563	4.03***
α ARCH Response to squared shocks	0.2015	10.21***
β GARCH Volatility persistence	0.7865	51.47***
γ leverage Additional response to negative shocks	0.4879	3.34***

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Manila Electric Co AGARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

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