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Cash flow disaggregation and the prediction of future earnings

机译:现金流量分类和未来收益预测

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摘要

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.
机译:我们研究了来自经营活动现金流量(CFO)的组成部分的增量信息内容。具体而言,本文研究的研究问题是,与仅合并净CFO的模型相比,合并CFO的组件以预测未来收益的模型是否提供较低的预测误差。在这种情况下,我们使用澳大利亚数据,因为所有公司都必须在抽样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解释能力和对未来收益的预测能力方面优于总现金流量模型。非核心(核心)现金流量组成部分的披露在两个方面都没有用处。我们的结果与投资者和分析师估计收益预测,监管者所在领域的公司经理有关CFO披露的选择以及监管者对披露要求和建议的审议有关。

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