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{name} Model Equation

How returns affect tomorrow's volatility

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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
mwindow	61
αARCH	0.0690	4.47***
βGARCH	0.8038	32.03***
γleverage	0.0401	1.98**
λ₁tau intercept	0.0329	1.51
λ₂forecast adj.	0.0660	1.56
λ₃tau persistence	0.9220	18.79***

Parameter	Value	t-statistic
m window Rolling window length	61
α ARCH Response to squared shocks	0.0690	4.47***
β GARCH Volatility persistence	0.8038	32.03***
γ leverage Additional response to negative shocks	0.0401	1.98**
λ₁ tau intercept Baseline long-term coefficient	0.0329	1.51
λ₂ forecast adj. Forecast performance sensitivity	0.0660	1.56
λ₃ tau persistence Long-term factor persistence	0.9220	18.79***

V-Lab

Deutsche Telekom AG MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Deutsche Telekom AG Analyses