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	36
α ARCH Response to squared shocks	0.2907	0.03
β GARCH Volatility persistence	0.6162	3.13***
γ leverage Additional response to negative shocks	-0.2907	-0.01
λ₁ tau intercept Baseline long-term coefficient	6.2692	0.04
λ₂ forecast adj. Forecast performance sensitivity	0.2834	0.04
λ₃ tau persistence Long-term factor persistence	0.6840	0.23

V-Lab

Asuransi Jiwa Syar ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Asuransi Jiwa Syar Analyses