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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, October 26th, 2026

1 Day

56.30%

decreased by 89.58%

1 Week

90.61%

decreased by 55.27%

1 Month

168.42%

increased by 22.54%

Analysis last updated: Friday, October 23, 2026 at 10:34 PM UTC

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Date Range:

from

10/23/2024

to

10/23/2026

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 Oct 23, 2026

Model Insight

With persistence 1.000, volatility shocks have a half-life of 63013 trading days (~250.1 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.

τ

Zero Slope Spline-GARCH Model

Tap to view equation

High persistence: persistence 1.000, shock half-life ~63013 days
ParamValuet-stat
ωconst0.3294
0.00
αARCH1.0000
0.01
βGARCH0.0000
0.00
∑γi Spline Coefficients
K=10
γ1-1,263.2241
0.00
γ2881.1035
0.00
γ3889.8322
0.00
γ4-606.7148
-0.01
γ546.7298
0.00
γ6-113.5019
-0.01
γ7122.2780
0.02
γ8964.9534
0.07
γ9-1,891.7879
-0.23
γ101,132.8481
0.45

1.000

Persistence

63013d

Half-life
τ

Zero Slope Spline-GARCH Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

0.3294
0.00
α

ARCH

Response to squared shocks

1.0000
0.01
β

GARCH

Volatility persistence

0.0000
0.00
∑γi Spline Coefficients
K=10
γ1-1,263.2241
0.00
γ2881.1035
0.00
γ3889.8322
0.00
γ4-606.7148
-0.01
γ546.7298
0.00
γ6-113.5019
-0.01
γ7122.2780
0.02
γ8964.9534
0.07
γ9-1,891.7879
-0.23
γ101,132.8481
0.45

Persistence:

1.000

Half-life:

63013 days