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	21
α ARCH Response to squared shocks	0.0868	0.61
β GARCH Volatility persistence	0.7817	25.12***
γ leverage Additional response to negative shocks	-0.0868	-0.29
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.84
λ₂ forecast adj. Forecast performance sensitivity	0.0395	1.06
λ₃ tau persistence Long-term factor persistence	0.9588	27.44***

V-Lab

Trainline PLC ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Trainline PLC Analyses