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	116
α ARCH Response to squared shocks	0.1701	9.93***
β GARCH Volatility persistence	0.8380	306.63***
γ leverage Additional response to negative shocks	-0.0274	-0.84
λ₁ tau intercept Baseline long-term coefficient	1.8018	1.87*
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.01
λ₃ tau persistence Long-term factor persistence	0.9993	924.40***

V-Lab

Yamashita Health Care Hldgs ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Yamashita Health Care Hldgs Analyses