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	46
αARCH	0.0903	3.02***
βGARCH	0.6042	6.07***
γleverage	0.0520	1.17
λ₁tau intercept	4.2722	1.62
λ₂forecast adj.	0.5687	1.75*
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	46
α ARCH Response to squared shocks	0.0903	3.02***
β GARCH Volatility persistence	0.6042	6.07***
γ leverage Additional response to negative shocks	0.0520	1.17
λ₁ tau intercept Baseline long-term coefficient	4.2722	1.62
λ₂ forecast adj. Forecast performance sensitivity	0.5687	1.75*
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

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