Cover Image

A New Proposal for Forecasting Inflation in the Eurozone: A Global Model

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Georgios Angelopoulos, Zacharias Bragoudakis, Dimitrios Dimitriou, Alexandros Tsioutsios
Format:	Artículo Open Access
Published:	Wiley 2026
Subjects:	Journal of Forecasting
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Macroeconomic and Financial Forecasting in the Aftermath of the Covid Shock: Inflation Forecasting With Large Language Models
by: Nikolaos Giannellis, et al.
Published: (2026)

Threshold MIDAS Forecasting of Canadian Inflation Rate
by: Chaoyi Chen, et al.
Published: (2025)

Using a Wage–Price‐Setting Model to Forecast US Inflation
by: Nguyen Duc Do
Published: (2024)

AI‐Driven Inflation Forecasting in the Aftermath of COVID‐19
by: Krystian Jaworski
Published: (2026)

Forecasting Inflation in the Presence of Structural Breaks: A Time‐Varying Parameter Approach
by: Stephen G. Hall, et al.
Published: (2026)

Inflation Forecasting Post‐COVID‐19: Evidence From Germany
by: Tiphaine Wibault
Published: (2026)

Forecasting in turbulent times
by: Nikolaos Giannellis, et al.
Published: (2024)

Leveraging Structural Insights: Enhancing Inflation Forecasting With Dynamic Stochastic General Equilibrium‐Informed Long Short‐Term Memory Models
by: Langfeng Zhou, et al.
Published: (2026)

Media Tone: The Role of News and Social Media on Heterogeneous Inflation Expectations
by: Joni Heikkinen, et al.
Published: (2024)

Demand Forecasting New Fashion Products: A Review Paper
by: Anitha S., et al.
Published: (2024)

Whether Uncertainty Theory Can Enhance GDP Forecasting From Energy: A New Uncertain MIDAS Model
by: Yuxin Shi, et al.
Published: (2025)

Forecasting the Quantile Connectedness: Insight From Global CSR and Sustainability Indices
by: Miklesh Prasad Yadav, et al.
Published: (2026)

A Novel Approach to Forecasting After Large Forecast Errors
by: Jennifer L. Castle, et al.
Published: (2025)

A New Multivariate Decomposition–Ensemble Approach With Multisource Heterogeneous Data for Crude Oil Price Forecasting
by: Zhengling Zhao, et al.
Published: (2026)

Forecasting and Modeling Macroeconomic Vulnerabilities in CESEE
by: Florian Huber, et al.
Published: (2025)

Modeling and Forecasting the CBOE VIX With the TVP‐HAR Model
by: Wen Xu, et al.
Published: (2025)

Trade and Economic Activity: Nonlinear Modeling and Forecasting
by: Alessandro Borin, et al.
Published: (2024)

Fiscal Forecasting Rationality Among Expert Forecasters
by: Belen Chocobar, et al.
Published: (2024)

A Universal Multivariate Long‐Term Time‐Series Robust Forecasting Model With Distinguishable Variable Identifier
by: Xin‐ji Chen, et al.
Published: (2026)

Combined Effects of Fat‐Tail and Spread Forecasting on Pairs Trading: A Hybrid Model Based on Integrating VAR With GRU Models
by: Yuhee Kwon, et al.
Published: (2025)

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market
by: Pietro Giorgio Lovaglio, et al.
Published: (2026)

Enhancing Neural Network Volatility Forecasting: Decomposed Volatility Modeling
by: Xuzheng Ren, et al.
Published: (2026)

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
by: Samuel Rauhala
Published: (2026)

Modelling and Forecasting of Exchange Rate Pairs Using the Kalman Filter
by: Paresh Date, et al.
Published: (2024)

HyperVIX: A GWO‐Optimized ARIMA‐LSTM Hybrid Model for CBOE Volatility Index (VIX) Forecasting
by: Ran Wu, et al.
Published: (2025)

A Hybrid Deep Learning Model for Coal Index Forecasting Based on Sentiment Analysis and Decomposition–Reconstruction Methods
by: Yi Xiao, et al.
Published: (2025)

Stock Return Forecasting: A Supervised PCA With Selecting and Scaling
by: Ting Zhang, et al.
Published: (2025)

A Review of Methods for Long‐Term Electric Load Forecasting
by: Thangjam Aditya, et al.
Published: (2024)

Forecasting the High‐Frequency Covariance Matrix Using the LSTM‐MF Model
by: Guangying Liu, et al.
Published: (2025)

A Comparative Forecasting Framework for Turkey–Germany Trade: Evidence From Time Series and Artificial Neural Networks Models
by: Seyma Nur Unal, et al.
Published: (2025)

A Multiscale Transformer Model for Long Time Series Forecasting Based on Discrete Wavelet Transform and Residual Learning Modules
by: Menghan Li, et al.
Published: (2025)

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
by: Easton Huch, et al.
Published: (2026)

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting
by: Felix Haag, et al.
Published: (2025)

Step by Step—A Quarterly Evaluation of EU Commission's GDP Forecasts
by: Katja Heinisch
Published: (2024)

Forecasting COVID‐19 Transmission: Insights From the Logistic Smooth Transition Model
by: Yeliz Uymaz, et al.
Published: (2026)

Adaptive Model Integration for Stock Price Forecasting With CNN‐ATTN‐BiLSTM
by: Yi Xiao, et al.
Published: (2026)

Support Vector Machine to Forecast Reexamination Invalidation Decisions for Utility Model Patent
by: Mei‐Hsin Wang, et al.
Published: (2025)

Modeling and Forecasting Stochastic Seasonality: Are Seasonal Autoregressive Integrated Moving Average Models Always the Best Choice?
by: Evangelos E. Ioannidis, et al.
Published: (2025)

Robust Prediction Intervals for Time Series Forecasting: A Bootstrap and Bayesian Approach
by: Betty X.Y. Chu, et al.
Published: (2026)

Forecasting Disaggregated Producer Prices: A Fusion of Machine Learning and Econometric Techniques
by: Soňa Benecká
Published: (2026)