Journal of Forecasting
1987 - 2025
Continuation of Journal of Forecasting. Current editor(s): Derek W. Bunn From John Wiley & Sons, Ltd. Bibliographic data for series maintained by Wiley Content Delivery (). Access Statistics for this journal.
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Volume 44, issue 3, 2025
- Policymaking in Periods of Structural Changes and Structural Breaks: Rolling Windows Revisited pp. 851-855

- Nikolaos Giannellis, Stephen G. Hall, Georgios Kouretas, George Tavlas and Yongli Wang
- Predictive Power of Key Financial Variables During the Unconventional Monetary Policy Era pp. 856-866

- Petri Kuosmanen and Juuso Vataja
- Time‐Varying US Government Spending Anticipation in Real Time pp. 867-880

- Pascal Goemans and Robinson Kruse‐Becher
- Media Tone: The Role of News and Social Media on Heterogeneous Inflation Expectations pp. 881-921

- Joni Heikkinen and Kari Heimonen
- The Bias of the ECB Inflation Projections: A State‐Dependent Analysis pp. 922-940

- Eleonora Granziera, Pirkka Jalasjoki and Maritta Paloviita
- Fiscal Forecasting Rationality Among Expert Forecasters pp. 941-959

- Belen Chocobar, Peter Claeys and Marcos Poplawski‐Ribeiro
- Explaining and Predicting Momentum Performance Shifts Across Time and Sectors pp. 960-977

- Konstantinos Mamais, Dimitrios Thomakos and Prodromos Vlamis
- Evaluating Inflation Forecasts in the Euro Area and the Role of the ECB pp. 978-1008

- Bertrand Candelon and Francesco Roccazzella
- Money Growth and Inflation—How to Account for the Differences in Empirical Results pp. 1009-1025

- Martin Mandler and Michael Scharnagl
- Step by Step—A Quarterly Evaluation of EU Commission's GDP Forecasts pp. 1026-1041

- Katja Heinisch
- On the Detection of Structural Breaks: The Case of the Covid Shock pp. 1042-1070

- Stephen G. Hall, George Tavlas, Lorenzo Trapani and Yongli Wang
- Money Matters: Broad Divisia Money and the Recovery of the US Nominal GDP From the COVID‐19 Recession pp. 1071-1096

- Michael D. Bordo and John Duca
- A Snapshot of Central Bank (Two‐Year) Forecasting: A Mixed Picture pp. 1097-1131

- Charles A. E. Goodhart and Manoj Pradhan
- Bank Capital Requirements, Lending Supply, and Economic Activity: A Scenario Analysis Perspective pp. 1132-1164

- Antonio Conti, Andrea Nobili and Federico M. Signoretti
- Common Shocks and Climate Risk in European Equities pp. 1165-1192

- Andrea Cipollini and Fabio Parla
Volume 44, issue 2, 2025
- Predictor Preselection for Mixed‐Frequency Dynamic Factor Models: A Simulation Study With an Empirical Application to GDP Nowcasting pp. 255-269

- Domenic Franjic and Karsten Schweikert
- Demand Forecasting New Fashion Products: A Review Paper pp. 270-280

- Anitha S. and Neelakandan R.
- Deep Dive Into Churn Prediction in the Banking Sector: The Challenge of Hyperparameter Selection and Imbalanced Learning pp. 281-296

- Vasileios Gkonis and Ioannis Tsakalos
- Stock Price Limit and Its Predictability in the Chinese Stock Market pp. 297-319

- Haohui Liang and Yujia Hu
- Could Diffusion Indexes Have Forecasted the Great Depression? pp. 320-338

- Gabriel Mathy and Yongchen Zhao
- Forecasting of S&P 500 ESG Index by Using CEEMDAN and LSTM Approach pp. 339-355

- Divya Aggarwal and Sougata Banerjee
- Affinities and Complementarities of Methods and Information Sets in the Estimation of Prices in Real Estate Markets pp. 356-375

- Mirko S. Bozanic‐Leal, Marcel Goic and Charles Thraves
- Interval Forecasting of Carbon Price With a Novel Hybrid Multiscale Decomposition and Bootstrap Approach pp. 376-390

- Bangzhu Zhu, Chunzhuo Wan, Ping Wang and Julien Chevallier
- Forecasting Expected Shortfall and Value‐at‐Risk With Cross‐Sectional Aggregation pp. 391-423

- Jie Wang and Yongqiao Wang
- Predicting Equity Premium: A New Momentum Indicator Selection Strategy With Machine Learning pp. 424-435

- Yong Qu and Ying Yuan
- A Multifrequency Data Fusion Deep Learning Model for Carbon Price Prediction pp. 436-458

- Canran Xiao and Yongmei Liu
- Exploring Multisource High‐Dimensional Mixed‐Frequency Risks in the Stock Market: A Group Penalized Reverse Unrestricted Mixed Data Sampling Approach pp. 459-473

- Xingxuan Zhuo, Shunfei Luo and Yan Cao
- Robust Estimation of Multivariate Time Series Data Based on Reduced Rank Model pp. 474-484

- Tengteng Xu, Ping Deng, Riquan Zhang and Weihua Zhao
- Forecasting Beta Using Ultra High Frequency Data pp. 485-496

- Jian Zhou
- Economic Forecasting With German Newspaper Articles pp. 497-512

- Tino Berger and Simon Wintter
- Forecasting Equity Premium in the Face of Climate Policy Uncertainty pp. 513-546

- Hyder Ali and Salma Naz
- Forecasting Chinese Stock Market Volatility With Volatilities in Bond Markets pp. 547-555

- Likun Lei, Mengxi He, Yi Zhang and Yaojie Zhang
- Crowd Flow Prediction: An Integrated Approach Using Dynamic Spatial–Temporal Adaptive Modeling for Pattern Flow Relationships pp. 556-574

- Zain Ul Abideen, Xiaodong Sun and Chao Sun
- Temporal Patterns in Migration Flows Evidence from South Sudan pp. 575-588

- Thomas Schincariol and Thomas Chadefaux
- Parametric Quantile Autoregressive Conditional Duration Models With Application to Intraday Value‐at‐Risk Forecasting pp. 589-605

- Helton Saulo, Suvra Pal, Rubens Souza, Roberto Vila and Alan Dasilva
- Modelling and Forecasting of Exchange Rate Pairs Using the Kalman Filter pp. 606-622

- Paresh Date and Janeeta Maunthrooa
- Sectoral Corporate Profits and Long‐Run Stock Return Volatility in the United States: A GARCH‐MIDAS Approach pp. 623-634

- Afees Salisu, Kazeem O. Isah and Ahamuefula Ogbonna
- Vector SHAP Values for Machine Learning Time Series Forecasting pp. 635-645

- Ji Eun Choi, Ji Won Shin and Dong Wan Shin
- Ensemble Multitask Prediction of Air Pollutants Time Series: Based on Variational Inference, Data Projection, and Generative Adversarial Network pp. 646-675

- Kang Wang, Chao Qu, Jianzhou Wang, Zhiwu Li and Haiyan Lu
- Taming Data‐Driven Probability Distributions pp. 676-691

- Jozef Baruník and Luboš Hanus
- Forecasting Realized Volatility: The Choice of Window Size pp. 692-705

- Yuqing Feng and Yaojie Zhang
- Global Risk Aversion: Driving Force of Future Real Economic Activity pp. 706-729

- Jinhwan Kim, Hoon Cho and Doojin Ryu
- Data‐Driven Predictive Modeling of Citywide Crowd Flow for Urban Safety Management: A Case Study of Beijing, China pp. 730-752

- He Jiang, Xuxilu Zhang, Yao Dong and Jianzhou Wang
- Cross‐Learning With Panel Data Modeling for Stacking and Forecast Time Series Employment in Europe pp. 753-780

- Pietro Giorgio Lovaglio
- A Quantification Approach of Changes in Firms' Financial Situation Using Neural Networks for Predicting Bankruptcy pp. 781-802

- Philippe du Jardin
- Using a Wage–Price‐Setting Model to Forecast US Inflation pp. 803-832

- Nguyen Duc Do
- Regime‐Switching Density Forecasts Using Economists' Scenarios pp. 833-845

- Graziano Moramarco
Volume 44, issue 1, 2025
- New forecasting methods for an old problem: Predicting 147 years of systemic financial crises pp. 3-40

- Emile du Plessis and Ulrich Fritsche
- Short‐term multivariate airworthiness forecasting based on decomposition and deep prediction models pp. 41-58

- Ali Tatli, Tansu Filik, Erdogan Bocu and Hikmet Tahir Karakoc
- Macroeconomic real‐time forecasts of univariate models with flexible error structures pp. 59-78

- Kelly Trinh, Bo Zhang and Chenghan Hou
- Research on occupant injury severity prediction of autonomous vehicles based on transfer learning pp. 79-92

- Na Yang, Dongwei Liu, Qi Liu, Zhiwei Li, Tao Liu, Jianfeng Wang and Ze Xu
- A hybrid interval‐valued time series prediction model incorporating intuitionistic fuzzy cognitive map and fuzzy neural network pp. 93-111

- Jiajia Zhang, Zhifu Tao, Jinpei Liu, Xi Liu and Huayou Chen
- A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data pp. 112-135

- Huosong Xia, Xiaoyu Hou, Justin Zuopeng Zhang and Mohammad Zoynul Abedin
- Forecasting Markov switching vector autoregressions: Evidence from simulation and application pp. 136-152

- Maddalena Cavicchioli
- Long‐term forecasting of maritime economics index using time‐series decomposition and two‐stage attention pp. 153-172

- Dohee Kim, Eunju Lee, Imam Mustafa Kamal and Hyerim Bae
- Toward a smart forecasting model in supply chain management: A case study of coffee in Vietnam pp. 173-199

- Thi Thuy Hanh Nguyen, Abdelghani Bekrar, Thi Muoi Le, Mourad Abed and Anirut Kantasa‐ard
- Forecasting USD/RMB exchange rate using the ICEEMDAN‐CNN‐LSTM model pp. 200-215

- Yun Zhou and Xuxu Zhu
- Forecasting house price index with social media sentiment: A decomposition–ensemble approach pp. 216-241

- Jin Shao, Lean Yu, Jingke Hong and Xianzhu Wang
- A multi‐objective optimization metaheuristic hybrid technique for forecasting the electricity consumption of the UAE: A grey wolf approach pp. 242-252

- Andreas Karathanasopoulos, Chia Chun Lo, Mitra Sovan, Mohamed Osman, Hans‐Jörg von Mettenheim and Slim Skander
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