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Does Cash Flows Useful in Predicting the Company’s Financial Health? Empirical Validation by Panel Cointegration Tests

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  • Chaouki Mouelhi

Abstract

The aim of this article is to test the usefulness of cash flows as a measure of companies' financial health. Our approach is different from the previous studies which have animated the debate on the comparison of the explanatory power between accrual and cash-flow. Indeed, we use current developments in cointegration tests on non-stationary dynamic panel data to test the existence of a long-run equilibrium relationship between a ratio based on cash flows (i.e., operating cash flow to total assets ratio) and four financial ratios based on accounting data, namely: working capital to total assets ratio, asset turnover ratio, return on assets ratio, and debt-assets ratio. These four financial ratios are commonly known as relevant indicators regarding the company's financial health regarding its liquidity, operational efficiency profitability, and solvency. Precisely, the panel unit root tests (Im, Pesaran, and Shin (2003)) and the panel cointegration tests (Pedroni (2004)) are applied on a sample of 150 American firms over the period 2010-2017. Our main results led to conclude that the cash flow has an informational content and a significant explanatory power in the prediction of the company’s financial health. We provide some explanations for these findings which are supported by a robustness analysis using panel error correction models (PECM). JEL classification numbers: G30, G33, L25, M10.

Suggested Citation

  • Chaouki Mouelhi, 2021. "Does Cash Flows Useful in Predicting the Company’s Financial Health? Empirical Validation by Panel Cointegration Tests," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 10(3), pages 1-1.
  • Handle: RePEc:spt:fininv:v:10:y:2021:i:3:f:10_3_1
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    1. Myungsun Kim & William Kross, 2005. "The Ability of Earnings to Predict Future Operating Cash Flows Has Been Increasing—Not Decreasing," Journal of Accounting Research, Wiley Blackwell, vol. 43(5), pages 753-780, December.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    3. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    4. Blum, M, 1974. "Failing Company Discriminant-Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 12(1), pages 1-25.
    5. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    6. Dechow, Patricia M., 1994. "Accounting earnings and cash flows as measures of firm performance : The role of accounting accruals," Journal of Accounting and Economics, Elsevier, vol. 18(1), pages 3-42, July.
    7. Corbae,Dean & Durlauf,Steven N. & Hansen,Bruce E. (ed.), 2006. "Econometric Theory and Practice," Cambridge Books, Cambridge University Press, number 9780521807234.
    8. Robert M. Bushman & Alina Lerman & X. Frank Zhang, 2016. "The Changing Landscape of Accrual Accounting," Journal of Accounting Research, Wiley Blackwell, vol. 54(1), pages 41-78, March.
    9. Banerjee, Anindya & Carrion-i-Silvestre, Josep Lluís, 2006. "Cointegration in panel data with breaks and cross-section dependence," Working Paper Series 591, European Central Bank.
    10. 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.
    11. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    12. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    13. Anindya Banerjee & Josep Lluis Carrion-i-Silvestre, 2011. "Testing for Panel Cointegration Using Common Correlated Effects," Discussion Papers 11-16, Department of Economics, University of Birmingham.
    14. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    15. Kenneth Lorek & G. Willinger, 2009. "New evidence pertaining to the prediction of operating cash flows," Review of Quantitative Finance and Accounting, Springer, vol. 32(1), pages 1-15, January.
    16. Jinhan Pae, 2005. "Expected Accrual Models: The Impact of Operating Cash Flows and Reversals of Accruals," Review of Quantitative Finance and Accounting, Springer, vol. 24(1), pages 5-22, January.
    17. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    18. Ibrahim El‐Sayed Ebaid, 2011. "Accruals and the prediction of future cash flows," Management Research Review, Emerald Group Publishing Limited, vol. 34(7), pages 838-853, June.
    19. Finger, Ca, 1994. "The Ability Of Earnings To Predict Future Earnings And Cash Flow," Journal of Accounting Research, Wiley Blackwell, vol. 32(2), pages 210-223.
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    More about this item

    Keywords

    Cash flows; Accruals; Financial health; Explanatory power; Panel cointegration tests.;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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