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, July 20th, 2026
1 Day
8.56%
decreased by 4.00%
1 Week
8.56%
decreased by 4.00%
1 Month
8.56%
decreased by 4.00%
Analysis last updated: Friday, July 17, 2026 at 07:36 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 5, 1996 to Jul 17, 2026Model 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
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 3.6436 | |
α ARCH Response to squared shocks | 0.5471 | |
β GARCH Volatility persistence | 0.4529 |
Spline Coefficients
K=9
| γ1 | -0.0728 | |
| γ2 | 0.7879 | |
| γ3 | -11.7579 | |
| γ4 | 36.3753 | |
| γ5 | -58.1149 | |
| γ6 | 51.0431 | |
| γ7 | -16.7028 | |
| γ8 | 1.6603 | |
| γ9 | 1.4859 |
Persistence:
1.000
Half-life:
-
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