Please use this identifier to cite or link to this item:
https://hdl.handle.net/10419/341672 Authors:
Year of Publication:
2026
Publisher:
ZBW - Leibniz Information Centre for Economics, Kiel, Hamburg
Abstract:
This study develops and empirically audits a Global Riemann-Zeta FPAS+ζ inflation-forecasting framework for world aggregate inflation. The model augments a structural FPAS baseline with a normalized Riemann-zeta critical-line cyclical signal transformed into a signed and alpha-calibrated forecast correction. The Riemann-zeta function is used only as an analogical and computational cyclical signal, not as a proof, test, or verification of the Riemann Hypothesis. The empirical architecture is layered: the principal annual validation layer covers 1970-2024 (N = 55), the annual robustness layer covers 1980-2024 (N = 45), the compact crisis-era annual comparison layer covers 2005-2024 (N = 20), the quarterly dynamic-validation layer covers 2000Q1-2024Q4 (N = 100), and the monthly spectral-diagnostics layer covers 2005M1-2024M12 (N = 240). The methodology constructs a composite global inflation-pressure index, a nonlinear macro-financial tau argument, a normalized zeta-cycle, a zeta deviation from neutrality, and an alpha-weighted FPAS+ζ forecast. Forecast performance is evaluated against FPAS and ARIMA through RMSE, MAE, sMAPE, rolling no-look-ahead validation, Mincer-Zarnowitz calibration, forecast-encompassing tests, Diebold-Mariano and Clark-West comparisons, residual diagnostics, HMM/Markov-switching regimes, Fourier/wavelet coherence, and spectral-entropy screens. The corrected results show that FPAS+ζ improves the reported forecast hierarchy: in the N = 55 annual layer, RMSE is 0.421 compared with 0.612 for FPAS and 1.081 for ARIMA; in the N = 45 robustness layer, RMSE is 0.398 compared with 0.578 and 0.983; and in the N = 20 crisis-era layer, RMSE is 0.233 compared with 0.443 and 1.913. Zeta deviations, composite pressure, F_zeta, W_zeta, and regime diagnostics concentrate around the 2008 global financial crisis, the 2020 pandemic shock, and the 2022 energy-food-monetary tightening shock. The contribution is a bounded mathematical-econometric forecast-diagnostic architecture for global inflation modelling; it does not claim theorem proof, unrestricted causality, residual-problem elimination, or universal forecast dominance across all economies, samples, and horizons.
Subjects:
global inflation forecasting
FPAS
Riemann-zeta function
FPAS+ζ
hybrid forecasting
macro-financial pressure
zeta-cycle
critical-line signal
alpha calibration
ARIMA benchmark
Mincer-Zarnowitz calibration
Diebold-Mariano test
Clark-West test
HMM regimes
Markov-switching
spectral diagnostics
wavelet coherence
layered validation
FPAS
Riemann-zeta function
FPAS+ζ
hybrid forecasting
macro-financial pressure
zeta-cycle
critical-line signal
alpha calibration
ARIMA benchmark
Mincer-Zarnowitz calibration
Diebold-Mariano test
Clark-West test
HMM regimes
Markov-switching
spectral diagnostics
wavelet coherence
layered validation
JEL:
C02
C22
C32
C43
C51
C52
C53
C58
E31
E37
E44
E47
E52
E58
F41
F47
G01
G17
C22
C32
C43
C51
C52
C53
C58
E31
E37
E44
E47
E52
E58
F41
F47
G01
G17
Document Type:
Working Paper
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