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	0.0638	5.14***
αARCH	0.0792	3.67***
βGARCH	0.8974	61.24***
γleverage	0.0238	0.67

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0638	5.14***
α ARCH Response to squared shocks	0.0792	3.67***
β GARCH Volatility persistence	0.8974	61.24***
γ leverage Additional response to negative shocks	0.0238	0.67

V-Lab

Shenzhen Stock Exchange Composite Index GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Shenzhen Stock Exchange Composite Index Analyses