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	41
α ARCH Response to squared shocks	0.0708	0.32
β GARCH Volatility persistence	0.9128	219.17***
γ leverage Additional response to negative shocks	-0.0708	-0.16
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.21
λ₂ forecast adj. Forecast performance sensitivity	1.0000	0.32
λ₃ tau persistence Long-term factor persistence	0.0000	0.05

V-Lab

Ryerson Holding Corp ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Ryerson Holding Corp Analyses