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	21
α ARCH Response to squared shocks	0.1388	0.31
β GARCH Volatility persistence	0.6463	9.16***
γ leverage Additional response to negative shocks	-0.1388	-0.15
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.58
λ₂ forecast adj. Forecast performance sensitivity	0.0794	0.38
λ₃ tau persistence Long-term factor persistence	0.9206	16.76***

V-Lab

Summit Real Estate Holdings ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Summit Real Estate Holdings Analyses