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	46
α ARCH Response to squared shocks	0.3124	0.80
β GARCH Volatility persistence	0.8438	88.34***
γ leverage Additional response to negative shocks	-0.3124	-0.42
λ₁ tau intercept Baseline long-term coefficient	0.0000	1.00
λ₂ forecast adj. Forecast performance sensitivity	0.3386	0.92
λ₃ tau persistence Long-term factor persistence	0.0650	0.31

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Haoxi Health Technology Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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