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	21
αARCH	0.0667	1.81*
βGARCH	0.6773	6.91***
γleverage	0.0639	1.54
λ₁tau intercept	4.5225	1.36
λ₂forecast adj.	0.4206	1.41
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.0667	1.81*
β GARCH Volatility persistence	0.6773	6.91***
γ leverage Additional response to negative shocks	0.0639	1.54
λ₁ tau intercept Baseline long-term coefficient	4.5225	1.36
λ₂ forecast adj. Forecast performance sensitivity	0.4206	1.41
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

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Zhejiang Walrus New Material Co Ltd MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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