International Journal of Forecasting
1985 - 2025
Current editor(s): R. J. Hyndman From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 31, issue 4, 2015
- Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach pp. 1009-1020

- Eric Ghysels and Nazire Ozkan
- Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information? pp. 1021-1042

- Frédérique Bec and Matteo Mogliani
- What affects the predictions of private forecasters? The role of central bank forecasts in Chile pp. 1043-1055

- Michael Pedersen
- Forecasting long memory series subject to structural change: A two-stage approach pp. 1056-1066

- Fotis Papailias and Gustavo Fruet Dias
- Point and density forecasts for the euro area using Bayesian VARs pp. 1067-1095

- Tim Berg and Steffen Henzel
- Optimal combination of survey forecasts pp. 1096-1103

- Cristina Conflitti, Christine De Mol and Domenico Giannone
- Forecasting in telecommunications and ICT—A review pp. 1105-1126

- Nigel Meade and Towhidul Islam
- Predicting internet commercial connectivity wars: The impact of trust and operators’ asymmetry pp. 1127-1137

- D’Ignazio, Alessio and Emanuele Giovannetti
- Firm level innovation diffusion of 3G mobile connections in international context pp. 1138-1152

- Towhidul Islam and Nigel Meade
- The forecasting accuracy of models of post-award network deployment: An application of maximum score tests pp. 1153-1158

- Gary Madden, Walter Mayer, Chen Wu and Thien Tran
- The diffusion of mobile social networking: Exploring adoption externalities in four G7 countries pp. 1159-1170

- Miriam Scaglione, Emanuele Giovannetti and Mohsen Hamoudia
Volume 31, issue 3, 2015
- Testing for multiple-period predictability between serially dependent time series pp. 587-597

- Chris Heaton
- Forecasting zero-inflated price changes with a Markov switching mixture model for autoregressive and heteroscedastic time series pp. 598-608

- Holger Kömm and Ulrich Küsters
- Volatility forecasting: The role of lunch-break returns, overnight returns, trading volume and leverage effects pp. 609-619

- Xunxiao Wang, Chongfeng Wu and Weidong Xu
- Forecasting realized volatility with changing average levels pp. 620-634

- Giampiero Gallo and Edoardo Otranto
- Option pricing with asymmetric heteroskedastic normal mixture models pp. 635-650

- Jeroen V.K. Rombouts and Lars Stentoft
- Forecasting the forecastability quotient for inventory management pp. 651-663

- Arthur V. Hill, Weiyong Zhang and Gerald F. Burch
- Macroeconomic forecasting during the Great Recession: The return of non-linearity? pp. 664-679

- Laurent Ferrara, Massimiliano Marcellino and Matteo Mogliani
- Macroeconomic forecasting and structural analysis through regularized reduced-rank regression pp. 682-691

- Emmanuela Bernardini and Gianluca Cubadda
- Markov-switching mixed-frequency VAR models pp. 692-711

- Claudia Foroni, Pierre Guérin and Massimiliano Marcellino
- EuroMInd-C: A disaggregate monthly indicator of economic activity for the Euro area and member countries pp. 712-738

- Stefano Grassi, Tommaso Proietti, Cecilia Frale, Massimiliano Marcellino and Gianluigi Mazzi
- Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections pp. 739-756

- Marta Banbura, Domenico Giannone and Michele Lenza
- Forecasting with Bayesian multivariate vintage-based VARs pp. 757-768

- Andrea Carriero, Michael Clements and Ana Galvão
- Interpretation and use of sensitivity in econometrics, illustrated with forecast combinations pp. 769-781

- Jan Magnus and Andrey Vasnev
- Comparison of methods for constructing joint confidence bands for impulse response functions pp. 782-798

- Helmut Lütkepohl, Anna Staszewska-Bystrova and Peter Winker
- Generalized autocontours: Evaluation of multivariate density models pp. 799-814

- Gloria Gonzalez-Rivera and Yingying Sun
- Copula modelling of dependence in multivariate time series pp. 815-833

- Michael Smith
- Bootstrap multi-step forecasts of non-Gaussian VAR models pp. 834-848

- Diego Fresoli, Esther Ruiz and Lorenzo Pascual
- Selecting volatility forecasting models for portfolio allocation purposes pp. 849-861

- R. Becker, Adam Clements, M.B. Doolan and Stan Hurn
- Forecasting multivariate time series under present-value model short- and long-run co-movement restrictions pp. 862-875

- Osmani Guillén, Alain Hecq, João Issler and Diogo Saraiva
- Testing causality between two vectors in multivariate GARCH models pp. 876-894

- Tomasz Woźniak
- Origins of Presidential poll aggregation: A perspective from 2004 to 2012 pp. 898-909

- Samuel S.-H. Wang
- A simple approach to projecting the electoral college pp. 910-915

- Joshua T. Putnam
- The wisdom of crowds: Applying Condorcet’s jury theorem to forecasting US presidential elections pp. 916-929

- Andreas E. Murr
- Calibrating ensemble forecasting models with sparse data in the social sciences pp. 930-942

- Jacob M. Montgomery, Florian M. Hollenbach and Michael D. Ward
- Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems pp. 943-951

- Andreas Graefe, Helmut Küchenhoff, Veronika Stierle and Bernhard Riedl
- Combining forecasts for elections: Accurate, relevant, and timely pp. 952-964

- David Rothschild
- Under-performing, over-performing, or just performing? The limitations of fundamentals-based presidential election forecasting pp. 965-979

- Benjamin E. Lauderdale and Drew Linzer
- Forecasting elections with non-representative polls pp. 980-991

- Wei Wang, David Rothschild, Sharad Goel and Andrew Gelman
- Can we vote with our tweet? On the perennial difficulty of election forecasting with social media pp. 992-1007

- Mark Huberty
Volume 31, issue 2, 2015
- Forecast combination with outlier protection pp. 223-237

- Gang Cheng and Yuhong Yang
- Do high-frequency financial data help forecast oil prices? The MIDAS touch at work pp. 238-252

- Christiane Baumeister, Pierre Guérin and Lutz Kilian
- ROC-based model estimation for forecasting large changes in demand pp. 253-262

- Matthew J. Schneider and Wilpen L. Gorr
- Balance sheets of financial intermediaries: Do they forecast economic activity? pp. 263-275

- Rodrigo Sekkel
- Forecasting residential investment in the United States pp. 276-285

- Kurt Lunsford
- Weather station selection for electric load forecasting pp. 286-295

- Tao Hong, Pu Wang and Laura White
- Modeling time-varying skewness via decomposition for out-of-sample forecast pp. 296-311

- Xiaochun Liu
- How good are US government forecasts of the federal debt? pp. 312-324

- Andrew Martinez
- Macroeconomic information, structural change, and the prediction of fiscal aggregates pp. 325-348

- Andrea Carriero, Haroon Mumtaz and Angeliki Theophilopoulou
- Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD pp. 349-363

- Yuanhua Feng and Chen Zhou
- Box office forecasting using machine learning algorithms based on SNS data pp. 364-390

- Taegu Kim, Jungsik Hong and Pilsung Kang
- Some historical perspectives on the Bond-Stock Earnings Yield Model for crash prediction around the world pp. 399-425

- Sebastien Lleo and William T. Ziemba
- Using financial indicators to predict turning points in the business cycle: The case of the leading economic index for the United States pp. 426-445

- Gad Levanon, Jean-Claude Manini, Ataman Ozyildirim, Brian Schaitkin and Jennelyn Tanchua
- A further analysis of the conference board’s new Leading Economic Index pp. 446-453

- Kajal Lahiri and Liu Yang
- Predictability and ‘good deals’ in currency markets pp. 454-472

- Richard M. Levich and Valerio Potì
- Pretesting for multi-step-ahead exchange rate forecasts with STAR models pp. 473-487

- Walter Enders and Razvan Pascalau
- Comparing the effectiveness of traditional vs. mechanized identification methods in post-sample forecasting for a macroeconomic Granger causality analysis pp. 488-500

- Haichun Ye, Richard Ashley and John Guerard
- Interactions between analysts’ and managers’ earnings forecasts pp. 501-514

- Lawrence D. Brown and Ling Zhou
- Quantifying differential interpretation of public information using financial analysts’ earnings forecasts pp. 515-530

- Xuguang Simon Sheng and Maya Thevenot
- Do analysts treat winners and losers differently when forecasting earnings? pp. 531-549

- Jay Heon Jung, Jinhan Pae and Choong-Yuel Yoo
- Earnings forecasting in a global stock selection model and efficient portfolio construction and management pp. 550-560

- John B. Guerard, Harry Markowitz and GanLin Xu
- Applied mean-ETL optimization in using earnings forecasts pp. 561-567

- Barret Pengyuan Shao, Svetlozar T. Rachev and Yu Mu
- Effectiveness of earnings forecasts in efficient global portfolio construction pp. 568-574

- Hui Xia, Xinyu Min and Shijie Deng
- News volume information: Beyond earnings forecasting in a global stock selection model pp. 575-581

- Robert A. Gillam, John B. Guerard and Rochester Cahan
- A note on the integration of the alpha alignment factor and earnings forecasting models in producing more efficient Markowitz Frontiers pp. 582-584

- Bijan Beheshti
Volume 31, issue 1, 2015
- Forecasting using DSGE models with financial frictions pp. 1-19

- Marcin Kolasa and Michał Rubaszek
- Amplifying the learning effects via a Forecasting and Foresight Support System pp. 20-32

- Georgios P. Spithourakis, Fotios Petropoulos, Konstantinos Nikolopoulos and Vassilios Assimakopoulos
- Forecasting GDP growth using mixed-frequency models with switching regimes pp. 33-50

- Fady Barsoum and Sandra Stankiewicz
- Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method pp. 51-62

- Kajal Lahiri and Yongchen Zhao
- Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection pp. 63-78

- Lasse Bork and Stig V. Møller
- Reproducibility in forecasting research pp. 79-90

- John E. Boylan, Paul Goodwin, Maryam Mohammadipour and Aris A. Syntetos
- Robust approaches to forecasting pp. 99-112

- Jennifer Castle, Michael Clements and David Hendry
- Testing the value of probability forecasts for calibrated combining pp. 113-129

- Kajal Lahiri, Huaming Peng and Yongchen Zhao
- Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding pp. 130-139

- Ulrich Fritsche, Christian Pierdzioch, Jan-Christoph Rülke and Georg Stadtmann
- Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding pp. 140-143

- Robert Fildes
- Information rigidities: Comparing average and individual forecasts for a large international panel pp. 144-154

- Jonas Dovern, Ulrich Fritsche, Prakash Loungani and Natalia Tamirisa
- Evaluating a vector of the Fed’s forecasts pp. 157-164

- Tara Sinclair, Herman Stekler and Warren Carnow
- Evaluating the economic forecasts of FOMC members pp. 165-175

- Xuguang Simon Sheng
- Do forecasters believe in Okun’s Law? An assessment of unemployment and output forecasts pp. 176-184

- Laurence Ball, Joao Jalles and Prakash Loungani
- Forecasting economic activity with targeted predictors pp. 188-206

- Guido Bulligan, Massimiliano Marcellino and Fabrizio Venditti
- The future of oil: Geology versus technology pp. 207-221

- Jaromir Benes, Marcelle Chauvet, Ondra Kamenik, Michael Kumhof, Douglas Laxton, Susanna Mursula and Jack Selody
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