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	36
α ARCH Response to squared shocks	0.0000	0.05
β GARCH Volatility persistence	0.0000	0.01
γ leverage Additional response to negative shocks	0.5000	683.05***
λ₁ tau intercept Baseline long-term coefficient	0.0000	0.00
λ₂ forecast adj. Forecast performance sensitivity	0.7890	52.07***
λ₃ tau persistence Long-term factor persistence	0.0203	8.24***

V-Lab

ASTA Energy Solutions AG ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other ASTA Energy Solutions AG Analyses