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Guizhou Qianyuan Power Co Ltd 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, October 8th, 2026

1 Day

125.46

increased by 20.53

1 Month

62.62

decreased by 42.31

Analysis last updated: Thursday, October 1, 2026 at 07:15 PM UTC

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Date Range:

from

09/30/2024

to

09/30/2026

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

All

graph of Guizhou Qianyuan Power Co Ltd ILLIQ-SMEM

News Impact Curve

How returns affect tomorrow's illiquidity

Illiquidity Forecast

How illiquidity evolves over time

Parameter Estimates

Mar 3, 2005 to Sep 30, 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
ωconst0.8466
αARCH0.2408
βGARCH0.7592
∑γi Spline Coefficients
K=10
γ1-1.8725
γ26.1873
γ3-11.8632
γ423.3995
γ5-33.1265
γ628.9674
γ7-17.0952
γ81.6022
γ97.0003
γ10-2.5724

1.000

Persistence

-

Half-life
μ

ILLIQ-SMEM Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

0.8466
α

ARCH

Response to squared shocks

0.2408
β

GARCH

Volatility persistence

0.7592
∑γi Spline Coefficients
K=10
γ1-1.8725
γ26.1873
γ3-11.8632
γ423.3995
γ5-33.1265
γ628.9674
γ7-17.0952
γ81.6022
γ97.0003
γ10-2.5724

Persistence:

1.000

Half-life:

-