南非公司现金流预测

IF 0.7 Q4 BUSINESS, FINANCE
Yun Li , Luiz Moutinho , Kwaku K. Opong , Yang Pang
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引用次数: 10

摘要

本文运用现有文献中用于预测经营性现金流量的模型来预测南非约翰内斯堡证券交易所上市公司的现金流量。检查每个模型的样本外性能,并在它们之间进行比较。报告的结果表明,与美国和澳大利亚报告的研究结果相比,一些应计项,即折旧和库存变化并不能提高南非公司的平均现金流量预测。根据样本外结果,包含更多的解释变量并不一定会改善模型。本文提出了在面板数据中应用移动平均模型和向量回归模型对南非企业的现金流量进行多期预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cash flow forecast for South African firms

This paper applies models in the extant literature that have been used to forecast operating cash flows to predict the cash flows of South African firms listed on the Johannesburg Stock Exchange. Out-of-sample performance is examined for each model and compared between them. The reported results show that some accrual terms, i.e. depreciation and changes in inventory do not enhance cash flow prediction for the average South African firm in contrast to the reported results of studies in USA and Australia. Inclusion of more explanatory variables does not necessarily improve the models, according to the out-of-sample results. The paper proposes the application of moving average model in panel data, and vector regressive model for multi-period-ahead prediction of cash flows for South Africa firms.

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来源期刊
Review of Development Finance
Review of Development Finance Economics, Econometrics and Finance-Finance
CiteScore
0.80
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0.00%
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