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	0.2267	2.65***
β GARCH Volatility persistence	0.7278	30.06***
γ leverage Additional response to negative shocks	-0.2267	-1.94*
λ₁ tau intercept Baseline long-term coefficient	1.9274	5.24***
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.00
λ₃ tau persistence Long-term factor persistence	0.9902	163.25***

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Auto Server Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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