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Predicting earnings and cash flows: The information content of losses and tax loss carryforwards

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  • Dreher, Sandra
  • Eichfelder, Sebastian
  • Noth, Felix

Abstract

We analyse the relevance of losses, accounting information on tax loss carryforwards, and deferred taxes for the prediction of earnings and cash flows up to four years ahead. We use a unique hand-collected panel of German listed firms encompassing detailed information on tax loss carryforwards and deferred taxes from the tax footnote. Our out-of-sample predictions show that considering accounting information on tax loss carryforwards and deferred taxes does not enhance the accuracy of performance forecasts and can even worsen performance predictions. We find that common forecasting approaches that treat positive and negative performances equally or that use a dummy variable for negative performance can lead to biased performance forecasts, and we provide a simple empirical specification to account for that issue.

Suggested Citation

  • Dreher, Sandra & Eichfelder, Sebastian & Noth, Felix, 2017. "Predicting earnings and cash flows: The information content of losses and tax loss carryforwards," IWH Discussion Papers 30/2017, Halle Institute for Economic Research (IWH).
    • Handle: RePEc:zbw:iwhdps:302017
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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. Fama, Eugene F & French, Kenneth R, 2000. "Forecasting Profitability and Earnings," The Journal of Business, University of Chicago Press, vol. 73(2), pages 161-175, April.
    3. Lys, Thomas & Naughton, James P. & Wang, Clare, 2015. "Signaling through corporate accountability reporting," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 56-72.
    4. Yawen Jiao, 2011. "Corporate Disclosure, Market Valuation, and Firm Performance," Financial Management, Financial Management Association International, vol. 40(3), pages 647-676, September.
    5. Hou, Kewei & van Dijk, Mathijs A. & Zhang, Yinglei, 2012. "The implied cost of capital: A new approach," Journal of Accounting and Economics, Elsevier, vol. 53(3), pages 504-526.
    6. James A. Ohlson, 2001. "Earnings, Book Values, and Dividends in Equity Valuation: An Empirical Perspective," Contemporary Accounting Research, John Wiley & Sons, vol. 18(1), pages 107-120, March.
    7. Kathleen Herbohn & Irene Tutticci & Pui See Khor, 2010. "Changes in Unrecognised Deferred Tax Accruals from Carry‐Forward Losses: Earnings Management or Signalling?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7‐8), pages 763-791, July.
    8. Verrecchia, Robert E., 1983. "Discretionary disclosure," Journal of Accounting and Economics, Elsevier, vol. 5(1), pages 179-194, April.
    9. Healy, Paul M. & Palepu, Krishna G., 2001. "Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 405-440, September.
    10. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    11. 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.
    12. Kewei Hou & David T. Robinson, 2006. "Industry Concentration and Average Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1927-1956, August.
    13. 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.
    14. Amal Hamrouni & Anthony Miloudi & Ramzi Benkraiem, 2015. "Signaling Firm Performance Through Corporate Voluntary Disclosure," Post-Print hal-01122674, HAL.
    15. Dan S. Dhaliwal & Steven E. Kaplan & Rick C. Laux & Eric Weisbrod, 2013. "The Information Content of Tax Expense for Firms Reporting Losses," Journal of Accounting Research, Wiley Blackwell, vol. 51(1), pages 135-164, March.
    16. Dichev, Ilia D. & Tang, Vicki Wei, 2009. "Earnings volatility and earnings predictability," Journal of Accounting and Economics, Elsevier, vol. 47(1-2), pages 160-181, March.
    17. Amir, E. & Kirschenheiter, M. & Willard, K., 1997. "Firm Valuation with Deferred Taxes: A Theoretical Framework," Papers 97-13, Columbia - Graduate School of Business.
    18. Fama, Eugene F. & French, Kenneth R., 2006. "Profitability, investment and average returns," Journal of Financial Economics, Elsevier, vol. 82(3), pages 491-518, December.
    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.
    20. Flagmeier, Vanessa, 2017. "The information content of tax loss carryforwards: IAS 12 vs. valuation allowance," arqus Discussion Papers in Quantitative Tax Research 216, arqus - Arbeitskreis Quantitative Steuerlehre.
    21. Mustafa Ciftci & Masako Darrough, 2015. "What Explains the Valuation Difference between Intangible-intensive Profit and Loss Firms?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(1-2), pages 138-166, January.
    22. Kathleen Herbohn & Irene Tutticci & Pui See Khor, 2010. "Changes in Unrecognised Deferred Tax Accruals from Carry-Forward Losses: Earnings Management or Signalling?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7-8), pages 763-791.
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    More about this item

    Keywords

    performance forecast; in-sample prediction; out-of-sample prediction; loss persistence; deferred taxes; tax loss carryforwards;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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