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	0.1095	0.94
β GARCH Volatility persistence	0.9315	352.03***
γ leverage Additional response to negative shocks	-0.0820	-0.35
λ₁ tau intercept Baseline long-term coefficient	0.0000	0.20
λ₂ forecast adj. Forecast performance sensitivity	0.0017	0.64
λ₃ tau persistence Long-term factor persistence	0.9952	1,431.91***

V-Lab

Lubawa Sa ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Lubawa Sa Analyses