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/lp/wiley/processes-and-accuracy-of-cash-flow-forecasting-a-case-study-of-a-Gsr5arY07A
References (2)
-
Thomas Plümper, Vera Troeger, E. Neumayer (2012)
Selection and Causal Inference in Qualitative Research -
Philip Podsakoff, Scott MacKenzie, Nathan Podsakoff (2012)
Sources of method bias in social science research and recommendations on how to control it.Annual review of psychology, 63
- Publisher
- Wiley
- Copyright
- Copyright © 2018 Cantillon and Mann
- ISSN
- 1078-1196
- eISSN
- 1745-6622
- DOI
- 10.1111/jacf.12301
- Publisher site
- See Article on Publisher Site
Abstract
Despite its pivotal importance in enterprise management, cash flow forecasting gets little attention from academics perhaps because few of them have access to internal processes and data. In this article, however, the authors explain how cash flow forecasting is organized at Bayer, a large multinational company headquartered in Germany, and which factors influence the accuracy of its forecasts. The research focuses on cash flow forecasts based on the direct method, prepared three times a yearat Bayer, involving about 62,000 individual forecasting items each time. These forecasts form the basis of the company's liquidity and financial risk management, in particular, its foreign exchange risk hedging.
Journal
Journal of Applied Corporate Finance – Wiley
Published: Jan 1, 2018