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V-Lab
V-Lab

Inlif Ltd GJR-GARCH Volatility Analysis

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

Volatility prediction for Monday, October 19th, 2026

1 Day

119.14%

decreased by 4.66%

1 Week

129.28%

increased by 5.48%

1 Month

163.69%

increased by 39.89%

Analysis last updated: Friday, October 16, 2026 at 10:12 PM UTC

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Date Range:

from

10/16/2024

to

10/16/2026

6M ·

1Y ·

All

graph of Inlif Ltd GJR-GARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Jan 2, 2025 to Oct 16, 2026
Boundary Parameters

Model Insight

Estimated persistence of 1.000 is at or above 1 (non-stationary): volatility shocks do not decay and the long-run variance is undefined, so long-horizon forecasts should be treated with caution.

σ

GJR-GARCH Model

Tap to view equation

High persistence: persistence 1.000 ≥ 1, shocks do not decay
ParamValuet-stat
ωconst5.0000
0.60
αARCH0.1011
0.46
βGARCH0.7437
4.07***
γleverage0.3103
0.35

1.000

Persistence

-

Half-life
σ

GJR-GARCH Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

5.0000
0.60
α

ARCH

Response to squared shocks

0.1011
0.46
β

GARCH

Volatility persistence

0.7437
4.07***
γ

leverage

Additional response to negative shocks

0.3103
0.35

Persistence:

1.000

Half-life:

-