Quotation Knöll, Florian, Dorner, Verena, Setzer, Thomas. 2016. Relating Cash Flow Forecast Errors to Revision Patterns. In Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Prescriptive Analytics in IS, Hrsg. V. Nissen, D. Stelzer, S. Straßburger, D. Fischer, 1217-1228. Ilmenau, Germany: None.


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Abstract

Our study closes a research gap on cash flow revisions in large, multinational corporations. Specifically, we explore how revisions relate to forecast accuracy and how patterns in revision processes can be quantified and leveraged to reduce prediction errors in forecasts of foreign exchange exposure. We suggest novel metrics to determine patterns in revision processes related to the concentration of revision volume and show that these measures have higher explanatory power with regard to how forecast error is related to forecast revisions (point on time, volume) and exposure than previously used measures solely relying on correlations among revisions and error. Our results suggest that accounting for these patterns improves the accuracy of foreign exchange exposure forecasts.

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Publication's profile

Status of publication Published
Affiliation External
Type of publication Contribution to conference proceedings
Language English
Title Relating Cash Flow Forecast Errors to Revision Patterns
Title of whole publication Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Prescriptive Analytics in IS
Editor V. Nissen, D. Stelzer, S. Straßburger, D. Fischer
Page from 1217
Page to 1228
Location Ilmenau, Germany
Year 2016
ISBN 978-3-86360-132-4
Open Access N

Associations

People
Dorner, Verena (Details)
External
Knöll, Florian (Karlsruhe Institute of Technology, Germany)
Setzer, Thomas (Karlsruhe Institute of Technology, Germany)
Organization
Institute for Digital Ecosystems IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5367 Management information systems (Details)
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