Do core and non-core cash flows from operations persist differentially in predicting future cash flows?

Do core and non-core cash flows from operations persist differentially in predicting future cash... This study investigates the persistence of cash flow components (core and non-core cash flows) using a cash flow prediction model. By extending the Barth, Cram, and Nelson (Account Rev 76(January):27–58, 2001) model, we examine the role of cash flow components in predicting future cash flows beyond that of accrual components. We propose a cash flow prediction model that decomposes cash flows from operations into core and non-core cash flow components that parallel the presentation and format of operating income from the income statement. Consistent with the AICPA and financial analysts’ recommendations, and as predicted, we find that core and non-core cash flows defined in our paper are differentially persistent in predicting future cash flows; and these cash flow components enhance the in-sample predictive ability of cash flow prediction models. We also analyze the association of in-sample prediction errors with earnings, cash flow and accruals variability. We find that disaggregating cash flows improve in-sample prediction, especially for large firms with high cash flows and earnings variability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Quantitative Finance and Accounting Springer Journals

Do core and non-core cash flows from operations persist differentially in predicting future cash flows?

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Publisher
Springer US
Copyright
Copyright © 2007 by Springer Science+Business Media, LLC
Subject
Finance; Corporate Finance; Accounting/Auditing; Econometrics; Operation Research/Decision Theory
ISSN
0924-865X
eISSN
1573-7179
D.O.I.
10.1007/s11156-007-0062-7
Publisher site
See Article on Publisher Site

Abstract

This study investigates the persistence of cash flow components (core and non-core cash flows) using a cash flow prediction model. By extending the Barth, Cram, and Nelson (Account Rev 76(January):27–58, 2001) model, we examine the role of cash flow components in predicting future cash flows beyond that of accrual components. We propose a cash flow prediction model that decomposes cash flows from operations into core and non-core cash flow components that parallel the presentation and format of operating income from the income statement. Consistent with the AICPA and financial analysts’ recommendations, and as predicted, we find that core and non-core cash flows defined in our paper are differentially persistent in predicting future cash flows; and these cash flow components enhance the in-sample predictive ability of cash flow prediction models. We also analyze the association of in-sample prediction errors with earnings, cash flow and accruals variability. We find that disaggregating cash flows improve in-sample prediction, especially for large firms with high cash flows and earnings variability.

Journal

Review of Quantitative Finance and AccountingSpringer Journals

Published: Oct 2, 2007

References

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