V-Lab
Guangzhou Devotion Thermal Technology 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 Friday, September 11th, 2026
1 Day
157.28
decreased by 11.25
1 Week
169.44
increased by 0.91
1 Month
220.10
increased by 51.57
Analysis last updated: Friday, September 11, 2026 at 06:44 PM UTC
News Impact Curve
How returns affect tomorrow's illiquidityIlliquidity Forecast
How illiquidity evolves over timeParameter Estimates
Jul 10, 2012 to Sep 4, 2026Model 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
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.5175 | |
| αARCH | 0.2213 | |
| βGARCH | 0.7787 |
Spline Coefficients
K=1
| γ1 | 0.2784 |
1.000
Persistence-
Half-lifeμ
ILLIQ-SMEM Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.5175 | |
α ARCH Response to squared shocks | 0.2213 | |
β GARCH Volatility persistence | 0.7787 |
Spline Coefficients
K=1
| γ1 | 0.2784 |
Persistence:
1.000
Half-life:
-
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