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	71
αARCH	0.1656	3.66***
βGARCH	0.8288	19.67***
γleverage	0.0109	0.14
λ₁tau intercept	10.0000	1.36
λ₂forecast adj.	0.0164	0.63
λ₃tau persistence	0.9836	45.10***

Parameter	Value	t-statistic
m window Rolling window length	71
α ARCH Response to squared shocks	0.1656	3.66***
β GARCH Volatility persistence	0.8288	19.67***
γ leverage Additional response to negative shocks	0.0109	0.14
λ₁ tau intercept Baseline long-term coefficient	10.0000	1.36
λ₂ forecast adj. Forecast performance sensitivity	0.0164	0.63
λ₃ tau persistence Long-term factor persistence	0.9836	45.10***

V-Lab

Trust Finance Indonesia Tbk PT MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Trust Finance Indonesia Tbk PT Analyses