Cash Flow Disaggregation and the Prediction of Future Earnings

N. Arthur, Marco Cheng, Robert Czernkowski
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引用次数: 51

Abstract

We examine the incremental information content of the components of cash flows from operations (CFO). Specifically the research question examined in this paper is whether models incorporating components of CFO to predict future earnings provide lower prediction errors than models incorporating simply net CFO. We use Australian data in this setting as all companies were required to provide information using the direct method during the sample period. We find that the cash flow components model is superior to an aggregate cash flow model in terms of explanatory power and predictive ability for future earnings; and that disclosure of non-core (core) cash flows components is (not) useful in both respects. Our results are of relevance to investors and analysts in estimating earnings forecasts, managers of firms in regulators’ domains where choice is provided with respect to the disclosure of CFO and also to regulators’ deliberations on disclosure requirements and recommendations.
现金流量分解与未来收益预测
我们检查的增量信息内容的组成部分,从经营现金流(CFO)。具体来说,本文研究的问题是,与单纯纳入净CFO的模型相比,纳入CFO成分的模型预测未来收益的预测误差是否更低。我们在此设置中使用澳大利亚的数据,因为所有公司都被要求在样本期间使用直接方法提供信息。我们发现现金流量成分模型在对未来盈余的解释力和预测能力方面优于总现金流量模型;而非核心(核心)现金流组成部分的披露在这两个方面都(不是)有用。我们的研究结果对投资者和分析师在估计收益预测时具有相关性,对监管机构领域的公司经理提供了关于首席财务官披露的选择,也对监管机构对披露要求和建议的审议具有相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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