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	121
α ARCH Response to squared shocks	0.1838	0.02
β GARCH Volatility persistence	0.6778	5.63***
γ leverage Additional response to negative shocks	-0.1838	-0.01
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.05
λ₂ forecast adj. Forecast performance sensitivity	0.0307	0.02
λ₃ tau persistence Long-term factor persistence	0.9693	3.88***

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Jordan Telecommunications Co PSC ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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