Skip to main content
V-Lab
V-Lab

Sudarshan Pharma Industries 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 30th, 2026

1 Day

10,529.31

increased by 6,334.83

1 Week

4,949.74

increased by 755.26

1 Month

3,936.23

decreased by 258.25

Analysis last updated: Wednesday, September 30, 2026 at 07:23 PM UTC

Press Delete or Backspace to remove this series.
Date Range:

from

09/29/2024

to

09/29/2026

6M ·

1Y ·

2Y ·

All

graph of Sudarshan Pharma Industries ILLIQ-SMEM

News Impact Curve

How returns affect tomorrow's illiquidity

Illiquidity Forecast

How illiquidity evolves over time

Parameter Estimates

Mar 21, 2023 to Sep 25, 2026

Model 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
ParamValuet-stat
ωconst1.2447
0.02
αARCH0.2253
0.01
βGARCH0.7747
0.02
∑γi Spline Coefficients
K=1
γ1-1.0455
0.00

1.000

Persistence

99021d

Half-life
μ

ILLIQ-SMEM Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

1.2447
0.02
α

ARCH

Response to squared shocks

0.2253
0.01
β

GARCH

Volatility persistence

0.7747
0.02
∑γi Spline Coefficients
K=1
γ1-1.0455
0.00

Persistence:

1.000

Half-life:

99021 days