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 Friday, September 11th, 2026

1 Day

210,262.50

increased by 26.80

1 Week

221,390.54

increased by 11,154.84

1 Month

318,547.20

increased by 108,311.50

Analysis last updated: Friday, September 11, 2026 at 09:49 PM UTC

Date Range:

from

to

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 Sep 4, 2026

Model Insight

Estimated persistence of 1.000 is at or above 1 (non-stationary): illiquidity shocks do not decay and the long-run level is undefined, so long-horizon forecasts should be treated with caution.

μ

ILLIQ-SMEM Model

Tap to view equation

High persistence: persistence 1.000 ≥ 1, shocks do not decay
ParamValuet-stat
ωconst0.4452
αARCH0.0000
βGARCH1.0000
γi Spline Coefficients
K=10
γ1-7.3054
γ27.0455
γ3-0.2758
γ42.6960
γ5-2.6108
γ6-1.1993
γ79.6045
γ8-24.6919
γ929.2414
γ10-20.0685

1.000

Persistence

-

Half-life
μ

ILLIQ-SMEM Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

0.4452
α

ARCH

Response to squared shocks

0.0000
β

GARCH

Volatility persistence

1.0000
γi Spline Coefficients
K=10
γ1-7.3054
γ27.0455
γ3-0.2758
γ42.6960
γ5-2.6108
γ6-1.1993
γ79.6045
γ8-24.6919
γ929.2414
γ10-20.0685

Persistence:

1.000

Half-life:

-