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	66
α ARCH Response to squared shocks	0.3024	0.05
β GARCH Volatility persistence	0.6914	80.62***
γ leverage Additional response to negative shocks	-0.2303	-0.02
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.07
λ₂ forecast adj. Forecast performance sensitivity	0.0334	0.07
λ₃ tau persistence Long-term factor persistence	0.9560	4.88***

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Shenwu Energy Saving Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Shenwu Energy Saving Co Ltd Analyses