DAX Volatility Index

CBOE EFA ETF Volatility Index

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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	0.2524	6.01***
αARCH	0.1742	7.68***
βGARCH	0.7308	34.94***
γleverage	0.0485	1.10

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.2524	6.01***
α ARCH Response to squared shocks	0.1742	7.68***
β GARCH Volatility persistence	0.7308	34.94***
γ leverage Additional response to negative shocks	0.0485	1.10

V-Lab

Merck KGaA Asy. MEM Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Merck KGaA Analyses