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	1.0499	1.86*
αARCH	0.0860	0.13
βGARCH	0.9140	1.41

γ₁	-0.0367	-0.12
γ₂	0.0084	0.02

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0499	1.86*
α ARCH Response to squared shocks	0.0860	0.13
β GARCH Volatility persistence	0.9140	1.41

γ₁	-0.0367	-0.12
γ₂	0.0084	0.02

V-Lab

Studsvik AB Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Studsvik AB Analyses