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	26
α ARCH Response to squared shocks	1.0000	0.02
β GARCH Volatility persistence	0.0024	0.00
γ leverage Additional response to negative shocks	-0.0047	0.00
λ₁ tau intercept Baseline long-term coefficient	0.0045	0.00
λ₂ forecast adj. Forecast performance sensitivity	0.7464	0.00
λ₃ tau persistence Long-term factor persistence	0.0005	0.00

V-Lab

Buda Juice Inc ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Buda Juice Inc Analyses