Forecasting : theory and practice

Petropoulos, Fotios; Apiletti, Daniele; Assimakopoulos, Vassilios; Babai, Mohamed Zied; Barrow, Devon K.; Ben Taieb, Souhaib; Bergmeir, Christoph; Bessa, Ricardo J.; Bijak, Jakub; Boylan, John E.; Browell, Jethro; Carnevale, Claudio; Castle, Jennifer L.; Cirillo, Pasquale; Clements, Michael P.; Cordeiro, Clara; Cyrino Oliveira, Fernando Luiz; De Baets, Shari; Dokumentov, Alexander; Ellison, Joanne; Fiszeder, Piotr; Franses, Philip Hans; Frazier, David T.; Gilliland, Michael; Gönül, M. Sinan; Goodwin, Paul; Grossi, Luigi; Grushka-Cockayne, Yael; Guidolin, Mariangela; Guidolin, Massimo; Gunter, Ulrich; Guo, Xiaojia; Guseo, Renato; Harvey, Nigel; Hendry, David F.; Hollyman, Ross; Januschowski, Tim; Jeon, Jooyoung; Jose, Victor Richmond R.; Kang, Yanfei; Koehler, Anne B.; Kolassa, Stephan; Kourentzes, Nikolaos; Leva, Sonia; Li, Feng; Litsiou, Konstantia; Makridakis, Spyros; Martin, Gael M.; Martinez, Andrew B.; Meeran, Sheik; Modis, Theodore; Nikolopoulos, Konstantinos; Önkal, Dilek; Paccagnini, Alessia; Panagiotelis, Anastasios; Panapakidis, Ioannis; Pavía, Jose M.; Pedio, Manuela; Pedregal, Diego J.; Pinson, Pierre; Ramos, Patrícia; Rapach, David E.; Reade, J. James; Rostami-Tabar, Bahman; Rubaszek, Michał; Sermpinis, Georgios; Shang, Han Lin; Spiliotis, Evangelos; Syntetos, Aris A.; Talagala, Priyanga Dilini; Talagala, Thiyanga S.; Tashman, Len; Thomakos, Dimitrios; Thorarinsdottir, Thordis; Todini, Ezio; Trapero Arenas, Juan Ramón; Wang, Xiaoqian; Winkler, Robert L.; Yusupova, Alisa; Ziel, Florian

doi:10.1016/j.ijforecast.2021.11.001

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-24480

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Forecasting : theory and practice
Authors:	Petropoulos, Fotios Apiletti, Daniele Assimakopoulos, Vassilios Babai, Mohamed Zied Barrow, Devon K. Ben Taieb, Souhaib Bergmeir, Christoph Bessa, Ricardo J. Bijak, Jakub Boylan, John E. Browell, Jethro Carnevale, Claudio Castle, Jennifer L. Cirillo, Pasquale Clements, Michael P. Cordeiro, Clara Cyrino Oliveira, Fernando Luiz De Baets, Shari Dokumentov, Alexander Ellison, Joanne Fiszeder, Piotr Franses, Philip Hans Frazier, David T. Gilliland, Michael Gönül, M. Sinan Goodwin, Paul Grossi, Luigi Grushka-Cockayne, Yael Guidolin, Mariangela Guidolin, Massimo Gunter, Ulrich Guo, Xiaojia Guseo, Renato Harvey, Nigel Hendry, David F. Hollyman, Ross Januschowski, Tim Jeon, Jooyoung Jose, Victor Richmond R. Kang, Yanfei Koehler, Anne B. Kolassa, Stephan Kourentzes, Nikolaos Leva, Sonia Li, Feng Litsiou, Konstantia Makridakis, Spyros Martin, Gael M. Martinez, Andrew B. Meeran, Sheik Modis, Theodore Nikolopoulos, Konstantinos Önkal, Dilek Paccagnini, Alessia Panagiotelis, Anastasios Panapakidis, Ioannis Pavía, Jose M. Pedio, Manuela Pedregal, Diego J. Pinson, Pierre Ramos, Patrícia Rapach, David E. Reade, J. James Rostami-Tabar, Bahman Rubaszek, Michał Sermpinis, Georgios Shang, Han Lin Spiliotis, Evangelos Syntetos, Aris A. Talagala, Priyanga Dilini Talagala, Thiyanga S. Tashman, Len Thomakos, Dimitrios Thorarinsdottir, Thordis Todini, Ezio Trapero Arenas, Juan Ramón Wang, Xiaoqian Winkler, Robert L. Yusupova, Alisa Ziel, Florian
et. al:	No
DOI:	10.1016/j.ijforecast.2021.11.001 10.21256/zhaw-24480
Published in:	International Journal of Forecasting
Volume(Issue):	38
Issue:	3
Page(s):	705
Pages to:	871
Issue Date:	2022
Publisher / Ed. Institution:	Elsevier
ISSN:	0169-2070 1872-8200
Language:	English
Subjects:	Application; Encyclopedia; Method; Prediction; Principle; Time series
Subject (DDC):	003: Systems
Abstract:	Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases.
URI:	https://digitalcollection.zhaw.ch/handle/11475/24480
Fulltext version:	Published version
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	School of Management and Law
Organisational Unit:	Institute of Business Information Technology (IWI)
Appears in collections:	Publikationen School of Management and Law

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Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Ben Taieb, S., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Cyrino Oliveira, F. L., De Baets, S., Dokumentov, A., et al. (2022). Forecasting : theory and practice. International Journal of Forecasting, 38(3), 705–871. https://doi.org/10.1016/j.ijforecast.2021.11.001

Petropoulos, F. et al. (2022) ‘Forecasting : theory and practice’, International Journal of Forecasting, 38(3), pp. 705–871. Available at: https://doi.org/10.1016/j.ijforecast.2021.11.001.

F. Petropoulos et al., “Forecasting : theory and practice,” International Journal of Forecasting, vol. 38, no. 3, pp. 705–871, 2022, doi: 10.1016/j.ijforecast.2021.11.001.

PETROPOULOS, Fotios, Daniele APILETTI, Vassilios ASSIMAKOPOULOS, Mohamed Zied BABAI, Devon K. BARROW, Souhaib BEN TAIEB, Christoph BERGMEIR, Ricardo J. BESSA, Jakub BIJAK, John E. BOYLAN, Jethro BROWELL, Claudio CARNEVALE, Jennifer L. CASTLE, Pasquale CIRILLO, Michael P. CLEMENTS, Clara CORDEIRO, Fernando Luiz CYRINO OLIVEIRA, Shari DE BAETS, Alexander DOKUMENTOV, Joanne ELLISON, Piotr FISZEDER, Philip Hans FRANSES, David T. FRAZIER, Michael GILLILAND, M. Sinan GÖNÜL, Paul GOODWIN, Luigi GROSSI, Yael GRUSHKA-COCKAYNE, Mariangela GUIDOLIN, Massimo GUIDOLIN, Ulrich GUNTER, Xiaojia GUO, Renato GUSEO, Nigel HARVEY, David F. HENDRY, Ross HOLLYMAN, Tim JANUSCHOWSKI, Jooyoung JEON, Victor Richmond R. JOSE, Yanfei KANG, Anne B. KOEHLER, Stephan KOLASSA, Nikolaos KOURENTZES, Sonia LEVA, Feng LI, Konstantia LITSIOU, Spyros MAKRIDAKIS, Gael M. MARTIN, Andrew B. MARTINEZ, Sheik MEERAN, Theodore MODIS, Konstantinos NIKOLOPOULOS, Dilek ÖNKAL, Alessia PACCAGNINI, Anastasios PANAGIOTELIS, Ioannis PANAPAKIDIS, Jose M. PAVÍA, Manuela PEDIO, Diego J. PEDREGAL, Pierre PINSON, Patrícia RAMOS, David E. RAPACH, J. James READE, Bahman ROSTAMI-TABAR, Michał RUBASZEK, Georgios SERMPINIS, Han Lin SHANG, Evangelos SPILIOTIS, Aris A. SYNTETOS, Priyanga Dilini TALAGALA, Thiyanga S. TALAGALA, Len TASHMAN, Dimitrios THOMAKOS, Thordis THORARINSDOTTIR, Ezio TODINI, Juan Ramón TRAPERO ARENAS, Xiaoqian WANG, Robert L. WINKLER, Alisa YUSUPOVA und Florian ZIEL, 2022. Forecasting : theory and practice. International Journal of Forecasting. 2022. Bd. 38, Nr. 3, S. 705–871. DOI 10.1016/j.ijforecast.2021.11.001

Petropoulos, Fotios, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, et al. 2022. “Forecasting : Theory and Practice.” International Journal of Forecasting 38 (3): 705–871. https://doi.org/10.1016/j.ijforecast.2021.11.001.

Petropoulos, Fotios, et al. “Forecasting : Theory and Practice.” International Journal of Forecasting, vol. 38, no. 3, 2022, pp. 705–871, https://doi.org/10.1016/j.ijforecast.2021.11.001.