V-Lab
Jordan Telecommunications Co PSC 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 Sunday, September 13th, 2026
1 Day
8,332.54
decreased by 1,228.74
1 Week
11,955.43
increased by 2,394.15
1 Month
71,313.11
increased by 61,751.83
Analysis last updated: Friday, September 11, 2026 at 08:26 PM UTC
News Impact Curve
How returns affect tomorrow's illiquidityIlliquidity Forecast
How illiquidity evolves over timeParameter Estimates
Oct 22, 2004 to Sep 10, 2026Model Insight
With persistence 1.000, illiquidity shocks have a half-life of 77016 trading days (~305.6 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 ~77016 days
| Param | Value | t-stat |
|---|---|---|
| ωconst | 3.4284 | 0.00 |
| αARCH | 0.2512 | 0.00 |
| βGARCH | 0.7488 | 0.00 |
Spline Coefficients
K=10
| γ1 | -2.7086 | 0.00 |
| γ2 | 4.2347 | 0.00 |
| γ3 | -2.2303 | -0.01 |
| γ4 | 0.7619 | 0.01 |
| γ5 | -0.0088 | 0.00 |
| γ6 | -0.0196 | 0.00 |
| γ7 | 0.2418 | 0.00 |
| γ8 | -2.9002 | -0.01 |
| γ9 | 6.4869 | 0.01 |
| γ10 | -6.0676 | 0.00 |
1.000
Persistence77016d
Half-lifeμ
ILLIQ-SMEM Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 3.4284 | 0.00 |
α ARCH Response to squared shocks | 0.2512 | 0.00 |
β GARCH Volatility persistence | 0.7488 | 0.00 |
Spline Coefficients
K=10
| γ1 | -2.7086 | 0.00 |
| γ2 | 4.2347 | 0.00 |
| γ3 | -2.2303 | -0.01 |
| γ4 | 0.7619 | 0.01 |
| γ5 | -0.0088 | 0.00 |
| γ6 | -0.0196 | 0.00 |
| γ7 | 0.2418 | 0.00 |
| γ8 | -2.9002 | -0.01 |
| γ9 | 6.4869 | 0.01 |
| γ10 | -6.0676 | 0.00 |
Persistence:
1.000
Half-life:
77016 days
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