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	51
α ARCH Response to squared shocks	0.2468	1.71*
β GARCH Volatility persistence	0.7603	96.63***
γ leverage Additional response to negative shocks	-0.0183	-0.07
λ₁ tau intercept Baseline long-term coefficient	0.3824	3.28***
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.00
λ₃ tau persistence Long-term factor persistence	0.9982	324.51***

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Shanghai Electric Power Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Shanghai Electric Power Co Ltd Analyses