Forecasting and uncertainty in the economic and business world

Citations

Cited by:

1. Makridakis, Spyros & Taleb, Nassim, 2009. "Living in a world of low levels of predictability," International Journal of Forecasting, Elsevier, vol. 25(4), pages 840-844, October.
2. Peter Nielsen & Liping Jiang & Niels Gorm Malý Rytter & Gang Chen, 2014. "An investigation of forecast horizon and observation fit's influence on an econometric rate forecast model in the liner shipping industry," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(7), pages 667-682, December.
3. Williams, Andy E, 2020. "COVID-19 and The Hidden Cost of Reduced Civil Liberties," SocArXiv scnza, Center for Open Science.
4. Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
5. repec:cup:judgdm:v:12:y:2017:i:1:p:29-41 is not listed on IDEAS
6. Efstathios Tapinos & Graham Leask & Mike Brown, 2023. "Perceived environmental turbulence and corporate strategy: The case of the UK recession," Futures & Foresight Science, John Wiley & Sons, vol. 5(3-4), September.
7. Vögele, Stefan & Hansen, Patrick & Poganietz, Witold-Roger & Prehofer, Sigrid & Weimer-Jehle, Wolfgang, 2017. "Building scenarios for energy consumption of private households in Germany using a multi-level cross-impact balance approach," Energy, Elsevier, vol. 120(C), pages 937-946.
8. López, Ana M., 2016. "El papel de la información económica como generador de conocimiento en el proceso de predicción: comparaciones empíricas del crecimiento del PIB regional /The Role of Economic Information as a Generat," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 34, pages 543-572, Agosto.
9. Patrice Dion, 2017. "An Alternative to Fixed Transition Probabilities for the Projection of Interprovincial Migration in Canada," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(6), pages 871-901, December.
10. Herbert Jodlbauer & Manuel Brunner & Nadine Bachmann & Shailesh Tripathi & Matthias Thürer, 2023. "Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action," Logistics, MDPI, vol. 7(4), pages 1-19, October.
11. Violetta Bacon-Gerasymenko & Russell Coff & Rodolphe Durand, 2016. "Taking a Second Look in a Warped Crystal Ball: Explaining the Accuracy of Revised Forecasts," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1292-1319, December.
12. Glette-Iversen, Ingrid & Aven, Terje, 2021. "On the meaning of and relationship between dragon-kings, black swans and related concepts," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
13. Love, Peter E.D. & Sing, Michael C.P. & Ika, Lavagnon A. & Newton, Sidney, 2019. "The cost performance of transportation projects: The fallacy of the Planning Fallacy account," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 1-20.
14. Bakanauskienė Irena & Baronienė Laura, 2017. "Theoretical Background for the Decision-Making Process Modelling under Controlled Intervention Conditions," Management of Organizations: Systematic Research, Sciendo, vol. 78(1), pages 7-19, December.
15. Katsikopoulos, Konstantinos V. & Durbach, Ian N. & Stewart, Theodor J., 2018. "When should we use simple decision models? A synthesis of various research strands," Omega, Elsevier, vol. 81(C), pages 17-25.
16. Steven H. Seggie & Emre Soyer & Koen H. Pauwels, 2017. "Combining big data and lean startup methods for business model evolution," AMS Review, Springer;Academy of Marketing Science, vol. 7(3), pages 154-169, December.
17. Anca-Gabriela Turtureanu & Rodica Pripoaie & Carmen-Mihaela Cretu & Carmen-Gabriela Sirbu & Emanuel Ştefan Marinescu & Laurentiu-Gabriel Talaghir & Florentina Chițu, 2022. "A Projection Approach of Tourist Circulation under Conditions of Uncertainty," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
18. Knüppel, Malte, 2014. "Efficient estimation of forecast uncertainty based on recent forecast errors," International Journal of Forecasting, Elsevier, vol. 30(2), pages 257-267.
    • Knüppel, Malte, 2009. "Efficient estimation of forecast uncertainty based on recent forecast errors," Discussion Paper Series 1: Economic Studies 2009,28, Deutsche Bundesbank.
19. Mihail Yanchev, 2022. "Deep Growth-at-Risk Model: Nowcasting the 2020 Pandemic Lockdown Recession in Small Open Economies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 20-41.
20. Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilios, 2020. "The M4 Competition: 100,000 time series and 61 forecasting methods," International Journal of Forecasting, Elsevier, vol. 36(1), pages 54-74.
21. Güngör, Bekir Oray & Ertuğrul, H. Murat & Soytaş, Uğur, 2021. "Impact of Covid-19 outbreak on Turkish gasoline consumption," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
22. Savio, Nicolas D. & Nikolopoulos, Konstantinos, 2013. "A strategic forecasting framework for governmental decision-making and planning," International Journal of Forecasting, Elsevier, vol. 29(2), pages 311-321.
23. Petropoulos, Fotios & Goodwin, Paul & Fildes, Robert, 2017. "Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge," International Journal of Forecasting, Elsevier, vol. 33(1), pages 314-324.
24. Roberts, James P. & Middleton, Andrew, 2014. "Evolving products: From human design to self-organisation via Science Fiction Prototyping," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 15-28.
25. Harald de Bruijn & Andreas Größler & Nuno Videira, 2020. "Antifragility as a design criterion for modelling dynamic systems," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 23-37, January.
26. Baranowski Paweł & Korczak Karol & Zając Jarosław, 2020. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland," Business Systems Research, Sciendo, vol. 11(1), pages 73-88, March.
27. Martin Magris & Mostafa Shabani & Alexandros Iosifidis, 2022. "Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets," Papers 2203.03613, arXiv.org, revised Jan 2023.
28. Julia P. Prims & Don A. Moore, 2017. "Overconfidence over the lifespan," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(1), pages 29-41, January.