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V-Lab
V-Lab

Samhallsbygg I Nor Spline-GARCH Volatility Analysis

Volatility prediction for Tuesday, September 8th, 2026

1 Day

31.19%

increased by 0.99%

1 Week

33.30%

increased by 3.10%

1 Month

33.88%

increased by 3.68%

Analysis last updated: Tuesday, September 8, 2026 at 08:04 PM UTC

Date Range:

from

to

6M ·

1Y ·

2Y ·

All

graph of Samhallsbygg I Nor SGARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Feb 3, 2023 to Sep 4, 2026

Model Insight

This model fits a time-varying baseline (a spline), so volatility mean-reverts toward a slowly-shifting long-run level rather than a constant. Short-run deviations decay with a half-life of 1 trading day.

τ

Spline-GARCH Model

Tap to view equation

Time-varying baseline: volatility reverts to a slowly-shifting spline trend
ParamValuet-stat
ωconst0.4753
3.10***
αARCH0.2658
3.25***
βGARCH0.0000
0.00
γi Spline Coefficients
K=6
γ1-10.9306
-2.69***
γ214.5186
2.52**
γ3-3.4045
-1.15
γ4-2.6136
-1.18
γ53.5593
1.41
γ6-1.4202
-0.46

0.266

Persistence

1d

Half-life
τ

Spline-GARCH Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

0.4753
3.10***
α

ARCH

Response to squared shocks

0.2658
3.25***
β

GARCH

Volatility persistence

0.0000
0.00
γi Spline Coefficients
K=6
γ1-10.9306
-2.69***
γ214.5186
2.52**
γ3-3.4045
-1.15
γ4-2.6136
-1.18
γ53.5593
1.41
γ6-1.4202
-0.46

Persistence:

0.266

Half-life:

1 days