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The ability of cash flows to predict the earning

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  • Omar Mohammad Al-Hawatmeh

    (Department of Accounting, University of Jordan, Amman, Jordan Author-Orchid id: https://orcid.org/0000-0002-4396-0584)

Abstract

This study aims to test is ability of cash flows to predict the earning, his research is expected to give contribution in providing evidence on whether. (1) operating cash flow is useful to predicting earning. (2) Investing cash flow is useful to predicting earning. (3) Financing cash flow is useful to predicting earning. In the present research, Statistical population consists of firms listed on London Stock Exchange Group (LSEG) during 2015-2018. Earning (dependent variable) was measured by net income, operating income and independent variable, namely cash flows through operating, investing and financing operations. The results generally indicates the models' ability to interpret hypothesis and confirm the ability of cash flows to predict earnings.

Suggested Citation

  • Omar Mohammad Al-Hawatmeh, 2020. "The ability of cash flows to predict the earning," Journal of Social Sciences (COES&RJ-JSS), , vol. 9(2), pages 590-602, April.
    • Handle: RePEc:jso:coejss:v:9:y:2020:i:2:p:590-602
    DOI: 10.25255/jss.2020.9.2.590.602
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    References listed on IDEAS

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    1. Takashi Obinata, 2002. "Concept and Relevance of Income," CIRJE F-Series CIRJE-F-171, CIRJE, Faculty of Economics, University of Tokyo.
    2. Lipe, Rc, 1986. "The Information Contained In The Components Of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 24, pages 37-64.
    3. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    4. Aydoḡan Alti, 2003. "How Sensitive Is Investment to Cash Flow When Financing Is Frictionless?," Journal of Finance, American Finance Association, vol. 58(2), pages 707-722, April.
    5. Carlos Omar Trejo-Pech & Magdy Noguera & Angel Samaniego-Alcantar & Richard N. Weldon, 2012. "The Relationship Between Accruals, Earnings, And Cash Flows: Evidence From Latin America," Accounting & Taxation, The Institute for Business and Finance Research, vol. 4(1), pages 95-107.
    6. DeFond, Mark L. & Hung, Mingyi, 2003. "An empirical analysis of analysts' cash flow forecasts," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 73-100, April.
    7. Dechow, Patricia M. & Kothari, S. P. & L. Watts, Ross, 1998. "The relation between earnings and cash flows," Journal of Accounting and Economics, Elsevier, vol. 25(2), pages 133-168, May.
    8. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    9. Nelson, Karen K. & Barth, Mary E. & Cram, Donald, 2001. "Accruals and the Prediction of Future Cash Flows," Research Papers 1594r, Stanford University, Graduate School of Business.
    Full references (including those not matched with items on IDEAS)

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