How illiquidity evolves over time

{name} Model Equation

How returns affect tomorrow's illiquidity

Spline Coefficients

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Parameter	Value	t-statistic
m window Rolling window length	126
α ARCH Response to squared shocks	0.1235	3.42***
β GARCH Volatility persistence	0.8735	138.53***
γ leverage Additional response to negative shocks	-0.0086	-0.12
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.30
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.01
λ₃ tau persistence Long-term factor persistence	0.9997	3,047.90***

V-Lab

Aker Biomarine Asa ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Aker Biomarine Asa Analyses