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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
ωconst	0.1602	4.74***
αARCH	0.1266	18.73***
βGARCH	0.8428	173.96***
γleverage	0.8848	6.10***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.1602	4.74***
α ARCH Response to squared shocks	0.1266	18.73***
β GARCH Volatility persistence	0.8428	173.96***
γ leverage Additional response to negative shocks	0.8848	6.10***

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Infineon Technologies AG AGARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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