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Pasqal Holding SA Zero Slope Spline-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, August 31st, 2026

1 Day

1,077.99%

increased by 869.64%

1 Week

1,109.73%

increased by 901.38%

1 Month

1,228.50%

increased by 1,020.15%

Analysis last updated: Sunday, August 30, 2026 at 04:00 PM UTC

Date Range:

from

to

6M ·

All

graph of Pasqal Holding SA S0GARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Jan 8, 2026 to Aug 28, 2026

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.

τ

Zero Slope Spline-GARCH Model

Tap to view equation

High persistence: persistence 1.000 ≥ 1, shocks do not decay
ParamValuet-stat
ωconst22.0432
αARCH1.0000
βGARCH0.0000
γi Spline Coefficients
K=7
γ1-402.3124
γ2265.8669
γ3495.5699
γ4-540.5830
γ5-72.3431
γ6929.3207
γ7-1,053.0233

1.000

Persistence

-

Half-life
τ

Zero Slope Spline-GARCH Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

22.0432
α

ARCH

Response to squared shocks

1.0000
β

GARCH

Volatility persistence

0.0000
γi Spline Coefficients
K=7
γ1-402.3124
γ2265.8669
γ3495.5699
γ4-540.5830
γ5-72.3431
γ6929.3207
γ7-1,053.0233

Persistence:

1.000

Half-life:

-