Accruals and the naive out-of-sample prediction of operating cash flow

被引:5
作者
Francis, Rick N. [1 ]
Eason, Patricia [2 ]
机构
[1] Univ Texas El Paso, Dept Accounting, Coll Business Adm, Room 215,500 W Univ Ave, El Paso, TX 79968 USA
[2] Univ Dallas, Irving, TX 75062 USA
关键词
Cash flow forecasts; Naive forecast; Accruals;
D O I
10.1016/j.adiac.2012.09.004
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Recent evidence indicates that a naive no-change out-of-sample forecast of operating cash flow is as accurate as regression model forecasts. The current study uses this evidence to compare the accuracy of two naive cash flow forecasts: 1) a pure no-change forecast and 2) a no-change forecast which includes adjustments for changes in accounts receivable, inventory and accounts payable. The size- and accrual-matched results indicate that the naive cash flow forecast with accruals is notably more accurate than the naive forecast without accruals. Moreover, the results indicate that large sums of positive accruals are more useful for cash flow prediction than large sums of negative accruals. Overall, the study provides creditors, analysts and other members of the financial community with an efficient and effective protocol for cash flow prediction. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:226 / 234
页数:9
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