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	1.1480	0.19
αARCH	0.0703	0.03
βGARCH	0.9297	0.36

γ₁	-0.0688	-0.04
γ₂	0.0782	0.04
γ₃	-0.0063	-0.02

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.1480	0.19
α ARCH Response to squared shocks	0.0703	0.03
β GARCH Volatility persistence	0.9297	0.36

γ₁	-0.0688	-0.04
γ₂	0.0782	0.04
γ₃	-0.0063	-0.02

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Svenska Cellulosa AB SCA Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Svenska Cellulosa AB SCA Analyses