Skip to main content
V-Lab
V-Lab

Potentially AI PLC Spline ILLIQ Liquidity Analysis

High-persistence model: shocks decay very slowly, so the theoretical long-run value may not be practically meaningful

Illiquidity prediction for Thursday, November 12th, 2026

1 Day

8,752,304.00

decreased by 639,658.00

1 Week

10,039,841.20

increased by 647,879.20

1 Month

7,791,530.30

decreased by 1,600,431.70

Analysis last updated: Thursday, November 12, 2026 at 09:39 PM UTC

Press Delete or Backspace to remove this series.
Date Range:

from

11/11/2024

to

11/11/2026

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

All

graph of Potentially AI PLC ILLIQ-SMEM

News Impact Curve

How returns affect tomorrow's illiquidity

Illiquidity Forecast

How illiquidity evolves over time

Parameter Estimates

Jan 2, 2007 to Nov 6, 2026

Model Insight

With persistence 1.000, illiquidity shocks have a half-life of 86643 trading days (~343.8 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.

μ

ILLIQ-SMEM Model

Tap to view equation

High persistence: persistence 1.000, shock half-life ~86643 days
ParamValuet-stat
ωconst5.9373
0.00
αARCH0.0811
0.00
βGARCH0.9189
0.00
∑γi Spline Coefficients
K=10
γ1-1.3150
0.00
γ2-0.1153
0.00
γ31.1422
0.00
γ42.3629
0.00
γ5-0.9216
0.00
γ6-6.8553
0.00
γ718.5356
0.00
γ8-34.1969
0.00
γ937.1809
0.00
γ10-18.8073
0.00

1.000

Persistence

86643d

Half-life
μ

ILLIQ-SMEM Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

5.9373
0.00
α

ARCH

Response to squared shocks

0.0811
0.00
β

GARCH

Volatility persistence

0.9189
0.00
∑γi Spline Coefficients
K=10
γ1-1.3150
0.00
γ2-0.1153
0.00
γ31.1422
0.00
γ42.3629
0.00
γ5-0.9216
0.00
γ6-6.8553
0.00
γ718.5356
0.00
γ8-34.1969
0.00
γ937.1809
0.00
γ10-18.8073
0.00

Persistence:

1.000

Half-life:

86643 days