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	31
α ARCH Response to squared shocks	0.1606	0.03
β GARCH Volatility persistence	0.4676	2.60***
γ leverage Additional response to negative shocks	-0.1606	-0.02
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.04
λ₂ forecast adj. Forecast performance sensitivity	0.1415	0.05
λ₃ tau persistence Long-term factor persistence	0.8585	0.60

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Vraj Iron And Steel Limited ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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