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Gujjubhai Industries Ltd ILLIQ-MFMEM Liquidity Analysis

High-persistence model: shocks decay very slowly, so the theoretical long-run value may not be practically meaningful

Illiquidity prediction for Wednesday, August 12th, 2026

1 Day

7,362.60

decreased by 804.73

1 Week

8,614.39

increased by 447.06

1 Month

29,801.81

increased by 21,634.48

Analysis last updated: Wednesday, August 12, 2026 at 07:16 PM UTC

Date Range:

from

to

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

All

graph of Gujjubhai Industries Ltd ILLIQ-MFMEM

News Impact Curve

How returns affect tomorrow's illiquidity

Illiquidity Forecast

How illiquidity evolves over time

Parameter Estimates

Oct 20, 2014 to Aug 7, 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. This multi-frequency model splits illiquidity into a fast short-run component and a slow-moving long-run level that drifts over the sample rather than a constant baseline.

μ

ILLIQ-MFMEM Model

Tap to view equation

ParameterValuet-statistic
m

window

Rolling window length

126
α

ARCH

Response to squared shocks

0.2343
0.90
β

GARCH

Volatility persistence

0.8658
156.41***
γ

leverage

Additional response to negative shocks

-0.2000
-0.39
λ₁

tau intercept

Baseline long-term coefficient

0.0000
1.00
λ₂

forecast adj.

Forecast performance sensitivity

0.5284
1.00
λ₃

tau persistence

Long-term factor persistence

0.0854
1.16

Persistence:

1.000

Half-life:

-