DAX 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	0.0841	5.58***
αARCH	0.1324	9.25***
βGARCH	0.8143	68.87***
γleverage	0.0642	2.51**

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0841	5.58***
α ARCH Response to squared shocks	0.1324	9.25***
β GARCH Volatility persistence	0.8143	68.87***
γ leverage Additional response to negative shocks	0.0642	2.51**

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Mercedes-Benz Group AG Asy. MEM Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Mercedes-Benz Group AG Analyses