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The Information-Content Of Nonearnings Accounting Numbers As Earnings Predictors

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  • OU, JA

Abstract

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Suggested Citation

  • Ou, Ja, 1990. "The Information-Content Of Nonearnings Accounting Numbers As Earnings Predictors," Journal of Accounting Research, Wiley Blackwell, vol. 28(1), pages 144-163.
    • Handle: RePEc:bla:joares:v:28:y:1990:i:1:p:144-163
    DOI: http://hdl.handle.net/10.2307/2491220
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    Cited by:

    1. van Lent, L.A.G.M., 1999. "Incomplete contracting theory in empirical accounting research," Other publications TiSEM 088f797d-9fa4-4081-98f4-1, Tilburg University, School of Economics and Management.
    2. Rimona Palas & Amos Baranes, 2019. "Making investment decisions using XBRL filing data," Accounting Research Journal, Emerald Group Publishing Limited, vol. 32(4), pages 587-609, November.
    3. Demmer, Matthias, 2015. "Improving profitability forecasts with information on earnings quality," Discussion Papers 2015/16, Free University Berlin, School of Business & Economics.
    4. Duarte Trigueiros, 2019. "Improving the effectiveness of predictors in accounting-based models," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 20(2), pages 207-226, June.
    5. Stina Skogsvik, 2008. "Financial Statement Information, the Prediction of Book Return on Owners' Equity and Market Efficiency: The Swedish Case," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 795-817.
    6. Pathiranage, Nandana P.W. & Jubb, Christine A., 2018. "Does IFRS make analysts more efficient in using fundamental information included in financial statements?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 14(3), pages 373-385.
    7. Sungsoo Kim & Amitav Saha & Sudipta Bose, 2021. "Do capital expenditures influence earnings performance: Evidence from loss‐making firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 2539-2575, April.
    8. Xi Chen & Yang Ha (Tony) Cho & Yiwei Dou & Baruch Lev, 2022. "Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 467-515, May.
    9. Cheng‐tsu Huang & Chu‐hsuan Chang & Hsiou‐wei Lin, 2021. "Do current‐year forecasts deserve investors' exclusive attention among analyst estimates?," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 714-723, June.
    10. Monterrey Mayoral, Juan & Sánchez Segura, Amparo, 2017. "Una evaluación empírica de los métodos de predicción de la rentabilidad y su relación con las características corporativas," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 20(1), pages 95-106.
    11. Kathryn E. Easterday & Pradyot K. Sen, 2023. "Another look at the dividend-price relationship in the accounting valuation framework," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 879-925, October.
    12. Mary E. Barth & Greg Clinch & Doron Israeli, 2016. "What do accruals tell us about future cash flows?," Review of Accounting Studies, Springer, vol. 21(3), pages 768-807, September.
    13. Andreas Charitou & George Panagiotides, 1999. "Financial analysis, future earnings and cash flows, and the prediction of stock returns: evidence for the UK," Accounting and Business Research, Taylor & Francis Journals, vol. 29(4), pages 281-298.
    14. Nwaeze, Emeka T., 2005. "Replacement versus adaptation investments and equity value," Journal of Corporate Finance, Elsevier, vol. 11(3), pages 523-549, June.
    15. Rimona Palas & Amos Baranes, 2017. "The Prediction of Earnings Movement Using Mandated XBRL data ? Industry Analysis," Proceedings of Economics and Finance Conferences 4507381, International Institute of Social and Economic Sciences.
    16. Hwa Deuk Yi & Sambock Park & Jonghyun Kim, 2019. "The Effects of Business Strategy and Inventory on the Relationship between Sales Manipulation and Future Profitability," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    17. Emeka T. Nwaeze & Simon S. M. Yang & Q. Jennifer Yin, 2006. "Accounting Information and CEO Compensation: The Role of Cash Flow from Operations in the Presence of Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 23(1), pages 227-265, March.
    18. S. P. Kothari & Charles Wasley, 2019. "Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years," Journal of Accounting Research, Wiley Blackwell, vol. 57(5), pages 1117-1159, December.
    19. Andreas Charitou & Chris Charalambous, 1996. "The Prediction of Earnings Using Financial Statement Information: Empirical Evidence With Logit Models and Artificial Neural Networks," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 5(4), pages 199-215, December.
    20. Monahan, Steven J., 2018. "Financial Statement Analysis and Earnings Forecasting," Foundations and Trends(R) in Accounting, now publishers, vol. 12(2), pages 105-215, July.

    More about this item

    Keywords

    Information content; Nonearning numbers; Earnings predictors; Predictive ability;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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