Dissertationen
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Biases and Forecast Efficiency in Corporate Finance. Dissertation.
Knöll, F.
2018. KIT, Karlsruhe. doi:10.5445/IR/1000082048
Proceedingsbeiträge
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The Anchor and Adjustment Bandwidthmodel: Exploring Cognitive Biases in Simulated Forecast Series.
Knöll, F.; Roßbach, D.
2018. Proceedings of the 51st Hawaii International Conference on System Sciences. doi:10.24251/hicss.2018.192 -
Anchor and adjustment detection on empirical forecast series.
Knöll, F.; Roßbach, D.
2018. Tagungsband Multikonferenz Wirtschaftsinformatik 2018 ; data driven X - turning data into value : Lüneburg, 6.-9. März 2018. Bd. 1. Hrsg.: Paul Drews, 257–268, Leuphana-Univ., Lüneburg -
Organizational Information improves Forecast Efficiency of Correction Techniques.
Knöll, F.; Simko, V.
2017. ITAT 2017 : Proceedings of the 17th Conference on Information Technologies - Applications and Theory, Slovakia, Martinske Hole, 22nd - 26th September 2017. Ed.: J. Hlaváčová, 86–92, CEUR-WS, Aachen -
Relating cash flow forecast errors to revision patterns.
Knöll, F.; Dorner, V.; Setzer, T.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, Technische Universität Ilmenau, 09.-11. März 2016, Band 2. Hrsg.: V. Nissen, 1217–1228, Universitätsverlag Ilmenau
Vorträge
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Reducing debiasing model uncertainty with revisioning.
Knöll, F.; Setzer, T.
2016. International Conference on Operations Research (OR2016), Analytical Decision Making, 30. Aug. - 2. September 2016, Hamburg, Deutschland -
Predictive Value of Geometric Measures for Revisioning Pattern in Corporate Cash Flow Forecasting.
Knöll, F.; Setzer, T.
2014. International Conference on Operations Research (OR2014), Business Analytics and Optimization, 2. - 5. September 2014, Aachen, Deutschland
