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
ωconst	0.4863	3.44***
αARCH	0.1113	8.17***
βGARCH	0.8656	65.37***

γ₁	-0.1110	-5.77***
γ₂	0.1706	6.13***
γ₃	-0.1009	-6.22***
γ₄	0.0663	4.80***
γ₅	-0.0289	-1.46

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.4863	3.44***
α ARCH Response to squared shocks	0.1113	8.17***
β GARCH Volatility persistence	0.8656	65.37***

γ₁	-0.1110	-5.77***
γ₂	0.1706	6.13***
γ₃	-0.1009	-6.22***
γ₄	0.0663	4.80***
γ₅	-0.0289	-1.46

V-Lab

Shanghai Stock Exchange Composite Index Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Shanghai Stock Exchange Composite Index Analyses