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How illiquidity evolves over time

{name} Model Equation

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Parameter	Value	t-statistic
m window Rolling window length	71
α ARCH Response to squared shocks	0.0335	11.22***
β GARCH Volatility persistence	0.8811	225.53***
γ leverage Additional response to negative shocks	0.0907	18.61***
λ₁ tau intercept Baseline long-term coefficient	0.0081	7.68***
λ₂ forecast adj. Forecast performance sensitivity	0.0157	7.30***
λ₃ tau persistence Long-term factor persistence	0.9802	366.16***

V-Lab

Dow Jones Transportation Average MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Dow Jones Transportation Average Analyses