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Peruvian New Sol 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, September 28th, 2026

1 Day

1.60%

decreased by 0.72%

1 Week

1.60%

decreased by 0.72%

1 Month

1.60%

decreased by 0.72%

Analysis last updated: Friday, September 25, 2026 at 09:12 PM UTC

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graph of Peruvian New Sol SGARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Jan 5, 1996 to Sep 25, 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

Spline-GARCH Model

Tap to view equation

High persistence: persistence 1.000 ≥ 1, shocks do not decay
ParamValuet-stat
ωconst0.1214
αARCH0.5332
βGARCH0.4668
∑γi Spline Coefficients
K=8
γ10.3710
γ2-2.5885
γ35.8422
γ4-5.4155
γ51.7919
γ60.0604
γ7-0.1015
γ80.1259

1.000

Persistence

-

Half-life
τ

Spline-GARCH Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

0.1214
α

ARCH

Response to squared shocks

0.5332
β

GARCH

Volatility persistence

0.4668
∑γi Spline Coefficients
K=8
γ10.3710
γ2-2.5885
γ35.8422
γ4-5.4155
γ51.7919
γ60.0604
γ7-0.1015
γ80.1259

Persistence:

1.000

Half-life:

-