CBOE China ETF Volatility Index

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	106
αARCH	0.1746	4.03***
βGARCH	0.7838	24.67***
γleverage	-0.0577	-1.14
λ₁tau intercept	5.2266	0.61
λ₂forecast adj.	0.3795	0.80
λ₃tau persistence	0.1071	0.09

Parameter	Value	t-statistic
m window Rolling window length	106
α ARCH Response to squared shocks	0.1746	4.03***
β GARCH Volatility persistence	0.7838	24.67***
γ leverage Additional response to negative shocks	-0.0577	-1.14
λ₁ tau intercept Baseline long-term coefficient	5.2266	0.61
λ₂ forecast adj. Forecast performance sensitivity	0.3795	0.80
λ₃ tau persistence Long-term factor persistence	0.1071	0.09

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