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	61
α ARCH Response to squared shocks	0.0864
β GARCH Volatility persistence	0.8605
γ leverage Additional response to negative shocks	0.0606
λ₁ tau intercept Baseline long-term coefficient	0.0100	72.78***
λ₂ forecast adj. Forecast performance sensitivity	0.2074
λ₃ tau persistence Long-term factor persistence	0.7499

V-Lab

Guangdong Tianyu Semiconductor Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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