V-Lab
OPKO Health Inc 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 Wednesday, September 23rd, 2026
1 Day
4,591.52
decreased by 158.09
1 Week
5,212.16
increased by 462.55
1 Month
5,097.60
increased by 347.99
Analysis last updated: Tuesday, September 22, 2026 at 09:29 PM UTC
News Impact Curve
How returns affect tomorrow's illiquidityIlliquidity Forecast
How illiquidity evolves over timeParameter Estimates
Nov 2, 1995 to Sep 18, 2026Model Insight
With persistence 1.000, illiquidity shocks have a half-life of 99021 trading days (~392.9 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 ~99021 days
| Param | Value | t-stat |
|---|---|---|
| ωconst | 30.2490 | 0.00 |
| αARCH | 0.2359 | 0.00 |
| βGARCH | 0.7641 | 0.01 |
Spline Coefficients
K=7
| γ1 | -0.2220 | -0.08 |
| γ2 | 0.9593 | 0.04 |
| γ3 | -2.9763 | -0.04 |
| γ4 | 5.2350 | 0.03 |
| γ5 | -4.3278 | -0.02 |
| γ6 | 1.4824 | 0.01 |
| γ7 | -0.3359 | -0.01 |
1.000
Persistence99021d
Half-lifeμ
ILLIQ-SMEM Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 30.2490 | 0.00 |
α ARCH Response to squared shocks | 0.2359 | 0.00 |
β GARCH Volatility persistence | 0.7641 | 0.01 |
Spline Coefficients
K=7
| γ1 | -0.2220 | -0.08 |
| γ2 | 0.9593 | 0.04 |
| γ3 | -2.9763 | -0.04 |
| γ4 | 5.2350 | 0.03 |
| γ5 | -4.3278 | -0.02 |
| γ6 | 1.4824 | 0.01 |
| γ7 | -0.3359 | -0.01 |
Persistence:
1.000
Half-life:
99021 days
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