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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	6.0915	1.29
αARCH	0.0544	7.48***
βGARCH	0.9888	103.52***
νDF	5.6600	1.55

Parameter	Value	t-statistic
ω const Unconditional variance weight	6.0915	1.29
α ARCH Response to squared shocks	0.0544	7.48***
β GARCH Volatility persistence	0.9888	103.52***
ν DF Student-t tail thickness	5.6600	1.55

V-Lab

LANXESS AG GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other LANXESS AG Analyses