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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Parameter	Value	t-statistic
m window Rolling window length	41
α ARCH Response to squared shocks	0.1496	4.82***
β GARCH Volatility persistence	0.6658	10.15***
γ leverage Additional response to negative shocks	0.0314	0.70
λ₁ tau intercept Baseline long-term coefficient	3.3065	2.02**
λ₂ forecast adj. Forecast performance sensitivity	0.6838	4.47***
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

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Zhejiang MTCN Technology Co Ltd MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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