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	0.0019	0.18
βGARCH	0.7510	36.21***
γleverage	0.2054	10.41***
λ₁tau intercept	0.0105	2.57**
λ₂forecast adj.	0.0617	5.05***
λ₃tau persistence	0.9334	71.25***

Parameter	Value	t-statistic
m window Rolling window length	26
α ARCH Response to squared shocks	0.0019	0.18
β GARCH Volatility persistence	0.7510	36.21***
γ leverage Additional response to negative shocks	0.2054	10.41***
λ₁ tau intercept Baseline long-term coefficient	0.0105	2.57**
λ₂ forecast adj. Forecast performance sensitivity	0.0617	5.05***
λ₃ tau persistence Long-term factor persistence	0.9334	71.25***

V-Lab

Taiwan Stock Exchange Weighted Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Taiwan Stock Exchange Weighted Index Analyses