International Journal of Forecasting
1985 - 2025
Current editor(s): R. J. Hyndman From Elsevier Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com). Access Statistics for this journal.
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Volume 33, issue 4, 2017
- Predicting recessions with boosted regression trees pp. 745-759

- Jörg Döpke, Ulrich Fritsche and Christian Pierdzioch
- Systematic errors in growth expectations over the business cycle pp. 760-769

- Jonas Dovern and Nils Jannsen
- Realised variance forecasting under Box-Cox transformations pp. 770-785

- Nick Taylor
- A now-casting model for Canada: Do U.S. variables matter? pp. 786-800

- Daniela Bragoli and Michele Modugno
- The predictive power of Google searches in forecasting US unemployment pp. 801-816

- D’Amuri, Francesco and Juri Marcucci
- A neglected dimension of good forecasting judgment: The questions we choose also matter pp. 817-832

- Edgar C. Merkle, Mark Steyvers, Barbara Mellers and Philip E. Tetlock
- Forecast evaluation tests and negative long-run variance estimates in small samples pp. 833-847

- David Harvey, Stephen Leybourne and Emily Whitehouse
- Volatility measures and Value-at-Risk pp. 848-863

- Dennis Bams, Gildas Blanchard and Thorsten Lehnert
- Car resale price forecasting: The impact of regression method, private information, and heterogeneity on forecast accuracy pp. 864-877

- Stefan Lessmann and Stefan Voß
- Business tendency surveys and macroeconomic fluctuations pp. 878-893

- Daniel Kaufmann and Rolf Scheufele
- Selecting exchange rate fundamentals by bootstrap pp. 894-914

- Pinho Ribeiro
- Nowcasting BRIC+M in real time pp. 915-935

- Tatjana Dahlhaus, Justin-Damien Guenette and Garima Vasishtha
- Beta forecasting at long horizons pp. 936-957

- Tolga Cenesizoglu, Fabio de Oliveira Ferrazoli Ribeiro and Jonathan J. Reeves
- Forecasting multidimensional tail risk at short and long horizons pp. 958-969

- Arnold Polanski and Evarist Stoja
- Optimal asset allocation for strategic investors pp. 970-987

- Ricardo Laborda and Jose Olmo
- Adaptive expectations versus rational expectations: Evidence from the lab pp. 988-1006

- Annarita Colasante, Antonio Palestrini, Alberto Russo and Mauro Gallegati
- Re-anchoring countercyclical capital buffers: Bayesian estimates and alternatives focusing on credit growth pp. 1007-1024

- Rodrigo Gonzalez, Leonardo Marinho and Joaquim Ignacio Alves de Vasconcellos e Lima
- Infinite hidden markov switching VARs with application to macroeconomic forecast pp. 1025-1043

- Chenghan Hou
- When does the yield curve contain predictive power? Evidence from a data-rich environment pp. 1044-1064

- Jari Hännikäinen
- Short-term inflation forecasting: The M.E.T.A. approach pp. 1065-1081

- Giacomo Sbrana, Andrea Silvestrini and Fabrizio Venditti
- Forecasting inflation in emerging markets: An evaluation of alternative models pp. 1082-1104

- Zeyyad Mandalinci
- Threshold stochastic volatility: Properties and forecasting pp. 1105-1123

- Xiuping Mao, Esther Ruiz and Helena Veiga
- Forecasting with VAR models: Fat tails and stochastic volatility pp. 1124-1143

- Ching-Wai (Jeremy) Chiu, Haroon Mumtaz and Gabor Pinter
Volume 33, issue 3, 2017
- Stock return prediction under GARCH — An empirical assessment pp. 569-580

- Helmut Herwartz
- A wavelet-based multivariate multiscale approach for forecasting pp. 581-590

- António Rua
- Model and survey estimates of the term structure of US macroeconomic uncertainty pp. 591-604

- Michael Clements and Ana Galvão
- The effect of price volatility on judgmental forecasts: The correlated response model pp. 605-617

- Daphne Sobolev
- Improving the power of the Diebold–Mariano–West test for least squares predictions pp. 618-626

- Walter J. Mayer, Feng Liu and Xin Dang
- VARX-L: Structured regularization for large vector autoregressions with exogenous variables pp. 627-651

- William B. Nicholson, David S. Matteson and Jacob Bien
- The influence of product involvement and emotion on short-term product demand forecasting pp. 652-661

- Valeria Belvedere and Paul Goodwin
- Dependence in credit default swap and equity markets: Dynamic copula with Markov-switching pp. 662-678

- Fei Fei, Ana-Maria Fuertes and Elena Kalotychou
- Real-time inflation forecasting with high-dimensional models: The case of Brazil pp. 679-693

- Marcio Garcia, Marcelo Medeiros and Gabriel F.R. Vasconcelos
- Does fiscal responsibility matter? Evidence from public and private forecasters in Italy pp. 694-706

- Laura Carabotta, Elisenda Paluzie and Raul Ramos
- Evaluation of exchange rate point and density forecasts: An application to Brazil pp. 707-728

- Wagner Gaglianone and Jaqueline Terra Moura Marins
- Forecasting the variance of stock index returns using jumps and cojumps pp. 729-742

- Adam Clements and Yin Liao
Volume 33, issue 2, 2017
- A vector heterogeneous autoregressive index model for realized volatility measures pp. 337-344

- Gianluca Cubadda, Barbara Guardabascio and Alain Hecq
- Visualising forecasting algorithm performance using time series instance spaces pp. 345-358

- Yanfei Kang, Rob Hyndman and Kate Smith-Miles
- Evaluating multi-step system forecasts with relatively few forecast-error observations pp. 359-372

- David Hendry and Andrew Martinez
- Does realized volatility help bond yield density prediction? pp. 373-389

- Minchul Shin and Molin Zhong
- Now-casting the Japanese economy pp. 390-402

- Daniela Bragoli
- Empowering cash managers to achieve cost savings by improving predictive accuracy pp. 403-415

- Francisco Salas-Molina, Francisco J. Martin, Juan A. Rodríguez-Aguilar, Joan Serrà and Josep Ll. Arcos
- Density forecast evaluation in unstable environments pp. 416-432

- Gloria Gonzalez-Rivera and Yingying Sun
- Structural forecasts for marketing data pp. 433-441

- Greg M. Allenby
- Forecasting inflation: Phillips curve effects on services price measures pp. 442-457

- Ellis Tallman and Saeed Zaman
- A bivariate Weibull count model for forecasting association football scores pp. 458-466

- Georgi Boshnakov, Tarak Kharrat and Ian G. McHale
- Forecasting elections at the constituency level: A correction–combination procedure pp. 467-481

- Simon Munzert
- Adaptive models and heavy tails with an application to inflation forecasting pp. 482-501

- Davide Delle Monache and Ivan Petrella
- Forecasting compositional time series: A state space approach pp. 502-512

- Ralph Snyder, John Ord, Anne B. Koehler, Keith McLaren and Adrian N. Beaumont
- Forecasting loss given default of bank loans with multi-stage model pp. 513-522

- Yuta Tanoue, Akihiro Kawada and Satoshi Yamashita
- Economic forecasting in theory and practice: An interview with David F. Hendry pp. 523-542

- Neil Ericsson
- How biased are U.S. government forecasts of the federal debt? pp. 543-559

- Neil Ericsson
- Comment on “How Biased are US Government Forecasts of the Federal Debt?” pp. 560-562

- Edward N. Gamber and Jeffrey P. Liebner
- Interpreting estimates of forecast bias pp. 563-568

- Neil Ericsson
Volume 33, issue 1, 2017
- Monte Carlo forecast evaluation with persistent data pp. 1-10

- Lynda Khalaf and Charles J. Saunders
- Quantile regression forecasts of inflation under model uncertainty pp. 11-20

- Dimitris Korobilis
- A comparison of wavelet networks and genetic programming in the context of temperature derivatives pp. 21-47

- Antonis K. Alexandridis, Michael Kampouridis and Sam Cramer
- Model Confidence Sets and forecast combination pp. 48-60

- Jon D. Samuels and Rodrigo Sekkel
- A mixed frequency approach to the forecasting of private consumption with ATM/POS data pp. 61-75

- Cláudia Duarte, Paulo Rodrigues and António Rua
- A comparative assessment of alternative ex ante measures of inflation uncertainty pp. 76-89

- Matthias Hartmann, Helmut Herwartz and Maren Ulm
- Modeling intra-seasonal heterogeneity in hourly advertising-response models: Do forecasts improve? pp. 90-101

- Meltem Kiygi-Calli, Marcel Weverbergh and Philip Hans Franses
- Forecasting market returns: bagging or combining? pp. 102-120

- Steven J. Jordan, Andrew Vivian and Mark Wohar
- Forecasting the Brazilian yield curve using forward-looking variables pp. 121-131

- Fausto Vieira, Marcelo Fernandes and Fernando Chague
- Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity pp. 132-152

- Fengping Tian, Ke Yang and Langnan Chen
- Forecasting GDP with global components: This time is different pp. 153-173

- Hilde Bjørnland, Francesco Ravazzolo and Leif Thorsrud
- Identifying business cycle turning points in real time with vector quantization pp. 174-184

- Andrea Giusto and Jeremy Piger
- Real-time nowcasting the US output gap: Singular spectrum analysis at work pp. 185-198

- Miguel de Carvalho and António Rua
- Forecasting stochastic processes using singular spectrum analysis: Aspects of the theory and application pp. 199-213

- M. Atikur Rahman Khan and Donald Poskitt
- EXSSA: SSA-based reconstruction of time series via exponential smoothing of covariance eigenvalues pp. 214-229

- Fotis Papailias and Dimitrios Thomakos
- Use of expert knowledge to anticipate the future: Issues, analysis and directions pp. 230-243

- Fergus Bolger and George Wright
- Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process pp. 244-253

- Philip Meissner, Christian Brands and Torsten Wulf
- Augmenting the intuitive logics scenario planning method for a more comprehensive analysis of causation pp. 254-266

- James Derbyshire and George Wright
- I nvestigate D iscuss E stimate A ggregate for structured expert judgement pp. 267-279

- A.M. Hanea, M.F. McBride, M.A. Burgman, B.C. Wintle, F. Fidler, L. Flander, C.R. Twardy, B. Manning and S. Mascaro
- Evaluating expert advice in forecasting: Users’ reactions to presumed vs. experienced credibility pp. 280-297

- Dilek Önkal, M. Sinan Gönül, Paul Goodwin, Mary Thomson and Esra Öz
- Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting pp. 298-313

- Jorge Alvarado-Valencia, Lope H. Barrero, Dilek Önkal and Jack T. Dennerlein
- Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge pp. 314-324

- Fotios Petropoulos, Paul Goodwin and Robert Fildes
- An investigation of dependence in expert judgement studies with multiple experts pp. 325-336

- Kevin J. Wilson
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