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How volatility evolves over time

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{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	1.0667	6.08***
αARCH	0.0714	8.77***
βGARCH	0.9129	99.48***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0667	6.08***
α ARCH Response to squared shocks	0.0714	8.77***
β GARCH Volatility persistence	0.9129	99.48***

V-Lab

Infineon Technologies AG Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Infineon Technologies AG Analyses