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Accrual accounting, cash accounting and the estimation of future cash flows

机译:权责发生制会计,现金会计和未来现金流量的估计

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摘要

This study investigates the predictive ability of current and past cash flows with respect to the estimation of future cash flow, and compares this predictive ability with that of current and past earnings. Future cash flow is estimated in this study on the basis of a model hierarchy that initially incorporates aggregated predictors and then their disaggregated components, with the objective of improving on conventional research design with respect to the problematic issues surrounding missing values in source databases, extreme values in the sampled data and variability in fiscal year length. In determining whether the disaggregation of earnings into cash flow, accruals and their components adds to the predictive ability of cash flow, the present thesis also documents out-of-sample accuracy tests for the UK based on initial in-sample estimations, with accruals being computed using both the information in the Statement of Cash Flows and the information that may be derived from Balance Sheet changes.ududUsing the information in the Statement of Cash Flows, the results of the in-sample estimation indicate that, whilst there is no notable difference between the ability of cash flow and aggregate earnings to predict future cash flow, the disaggregation of earnings into cash flow and accruals improves the prediction. The out-of-sample accuracy tests confirm the standard result that this disaggregated earnings model is a better predictor of future cash flow. In contrast, this thesis shows that, when using information in the Balance Sheet, by way of changes from one period to the next, the results of both the in-sample estimation and the out-of-sample accuracy tests show that disaggregated earnings is unable to outperform aggregate earnings in predicting future cash flow. Nevertheless, when the total accrual is further disaggregated into its deferral and accrual components, in-sample estimation reveals additional improvement in predictive ability, using each of the two sources of information to compute total accruals (the Statement of Cash Flows and Balance Sheet changes), although this is less evident with the out-of-sample tests.ududWhilst further analysis indicates that disaggregation is more informative when the firm size is large, the magnitude of accruals is low and the firm reports a positive CFO and EBIT, the thesis shows that the ability of the estimation models to predict future cash flow differs across industries in the UK, and that the findings are generally sensitive to the effect of database choice, the fiscal year length, and the identification and treatment of unrecorded data.
机译:这项研究调查了当前和过去现金流量对未来现金流量估计的预测能力,并将这种预测能力与当前和过去收益进行了比较。在此研究中,未来现金流量是在模型层次结构的基础上进行估算的,模型层次结构首先包含汇总的预测变量,然后合并其分解的成分,其目的是针对围绕源数据库中缺失值,极端值的问题而改进常规研究设计在抽样数据中以及会计年度长度的变化。在确定将收入分解为现金流量,应计费用及其组成部分是否可以增加现金流量的预测能力时,本论文还根据初始的样本内估算值记录了英国的样本外准确性检验,应计为使用现金流量表中的信息和可能从资产负债表变更中得出的信息进行计算。 ud ud使用现金流量表中的信息,样本内估计的结果表明,尽管存在现金流量和总收入预测未来现金流的能力之间没有显着差异,将收入分解为现金流和应计费用可以改善预测。样本外准确性测试证实了标准结果,即该分类的收益模型可以更好地预测未来现金流量。相反,本论文表明,使用资产负债表中的信息时,通过一个时期到下一个时期的变化,样本内估计和样本外准确性测试的结果表明,分类收益为在预测未来现金流量时,无法超越总收益。但是,当将总应计项目进一步细分为递延和应计项目时,样本内估计使用两种信息来源中的每一个来计算总应计项目(现金流量表和资产负债表变动),显示了预测能力的进一步提高。 ,尽管这在样本外测试中不太明显。 ud ud虽然进一步的分析表明,当公司规模较大,应计金额较低且公司报告的CFO和EBIT为正值时,分类会提供更多信息,论文表明,估计模型预测未来现金流量的能力在英国各行各业中各不相同,并且该发现通常对数据库选择,会计年度长度以及未记录数据的识别和处理的影响敏感。

著录项

  • 作者

    Mottaghi Aliasghar;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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