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On Predictability of Revisioning in Corporate Cash Flow Forecasting

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Title:On Predictability of Revisioning in Corporate Cash Flow Forecasting
Authors:Knöll, Florian
Setzer, Thomas
Laubis, Kevin
Keywords:Service Analytics
Financial Decision Analytics, Corporate Cash Flow, Forecast Revision Process, Organizational Bias, Judgmental Forecasting
Date Issued:03 Jan 2018
Abstract:Financial services within corporations usually are part of an information system on which many business functions depend. As of the importance of forecast quality for financial services, means of forecast accuracy improvement, such as data-driven statistical prediction techniques and/or forecast support systems, have been subject to IS research since decades. In this paper we consider means of forecast improvement due to regular patterns in forecast revisioning. We analyze how business forecasts are adjusted to exploit possible improvements for the accuracy of forecasts with lower lead time. The empirical part bases on an unique dataset of experts' cash flow forecasts and accountants' actuals realizations of companies in a global corporation. We find that direction and magnitude of the final revision in aggregated forecasts can be related to suggested targets in earnings management, providing the means of improving the accuracy of longer-term cash flow forecasts.
Pages/Duration:7 pages
URI/DOI:http://hdl.handle.net/10125/50084
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.197
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Service Analytics


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