IDEAS home Printed from https://ideas.repec.org/a/wly/coacre/v13y1996i1p251-273.html
   My bibliography  Save this article

Going†Concern Status, Earnings Persistence, and Informativeness of Earnings

Author

Listed:
  • K.R. SUBRAMANYAM
  • JOHN J. WILD

Abstract

. Valuation theory recognizes that the relation between earnings innovations and changes in security valuation is increasing in the persistence of the earnings innovations. Analyses in this article reveal that the present value of revisions in expected future benefits is a function of the length of revision horizon, suggesting that earnings persistence is determined, in part, by an entity's going†concern status. These analyses predict an inverse relation between earnings informativeness and an entity's probability of termination. Drawing on a sample of quarterly earnings and returns data from more than 1,500 distinct firms for the period 1981–1990, a statistically significant inverse relation is documented between an entity's probability of termination and the informativeness of earnings—the latter measured as the coefficient from a regression of returns on earnings. Further empirical analyses reveal that this result is a pervasive economic phenomenon not attributable to extreme conditions or other prevailing explanations of earnings informativeness. This inference is robust to variations in research design, including measurement of earnings informativeness and of termination probability and alternative specifications of the relation between returns and earnings. Consequently, the evidence in this article is consistent with a fundamental role for an entity's going†concern status in determining the usefulness of earnings. Résumé. La théorie de l'évaluation reconnaît le fait que la relation entre les nouvelles informations relatives au bénéfice net et les changements dans l'évaluation des titres s'intensifie lorsque persistent lesdites informations. Les analyses réalisées par les auteurs révèlent que la valeur actualisée des rajustements dans les gains futurs espérés dépend de l'horizon du rajustement, ce qui donne à penser que la persistance du bénéfice net est en partie fonction de la continuité de l'exploitation de l'entreprise. Selon ces analyses, le potentiel informatif du bénéfice net devrait être en relation inverse avec la probabilité de fermeture de l'entité. En s'appuyant sur un échantillon de données trimestrielles relatives au bénéfice net et au rendement recueillies auprès de plus de 1500 entreprises distinctes pour la période 1981–1990, les auteurs observent une relation inverse statistiquement significative entre la probabilité de fermeture d'une entité et le potentiel informatif du bénéfice—ce dernier étant mesuré sous forme de coefficient, au moyen d'une régression des rendements sur les bénéfices. D'autres analyses empiriques révèlent que cette conclusion est un phénomène économique répandu qui n'est pas attribuable à des conditions extrêmes ou à d'autres explications prédominantes du potentiel informatif du bénéfice net. Cette inference résiste aux variations dans le plan de recherche, y compris la mesure du potentiel informatif du bénéfice net et de la probabilité de fermeture, et les autres caractéristiques possibles de la relation entre le rendement et le bénéfice. Les résultats obtenus confirment donc que la continuité de l'exploitation joue un rôle fondamental dans la détermination de l'utilité du bénéfice net.

Suggested Citation

  • K.R. Subramanyam & John J. Wild, 1996. "Going†Concern Status, Earnings Persistence, and Informativeness of Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 13(1), pages 251-273, March.
  • Handle: RePEc:wly:coacre:v:13:y:1996:i:1:p:251-273
    DOI: 10.1111/j.1911-3846.1996.tb00500.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1911-3846.1996.tb00500.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1911-3846.1996.tb00500.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Freeman, Rn & Tse, Sy, 1992. "A Nonlinear Model Of Security Price Responses To Unexpected Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 30(2), pages 185-209.
    2. Easton, Pd & Harris, Ts, 1991. "Earnings As An Explanatory Variable For Returns," Journal of Accounting Research, Wiley Blackwell, vol. 29(1), pages 19-36.
    3. Ohlson, Ja & Shroff, Pk, 1992. "Changes Versus Levels In Earnings As Explanatory Variables For Returns - Some Theoretical Considerations," Journal of Accounting Research, Wiley Blackwell, vol. 30(2), pages 210-226.
    4. James A. Ohlson, 1991. "The theory of value and earnings, and an introduction to the Ball†Brown analysis," Contemporary Accounting Research, John Wiley & Sons, vol. 8(1), pages 1-19, September.
    5. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    6. Bernard, Vl, 1987. "Cross-Sectional Dependence And Problems In Inference In Market-Based Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 1-48.
    7. Burgstahler, David & Jiambalvo, James & Noreen, Eric, 1989. "Changes in the probability of bankruptcy and equity value," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 207-224, July.
    8. 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.
    9. 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.
    10. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    11. Dan S. Dhaliwal & Kyung J. Lee & Neil L. Fargher, 1991. "The association between unexpected earnings and abnormal security returns in the presence of financial leverage," Contemporary Accounting Research, John Wiley & Sons, vol. 8(1), pages 20-41, September.
    12. Kormendi, Roger & Lipe, Robert, 1987. "Earnings Innovations, Earnings Persistence, and Stock Returns," The Journal of Business, University of Chicago Press, vol. 60(3), pages 323-345, July.
    13. Miller, Merton H & Rock, Kevin, 1985. "Dividend Policy under Asymmetric Information," Journal of Finance, American Finance Association, vol. 40(4), pages 1031-1051, September.
    14. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    15. Warfield, Terry D. & Wild, John J. & Wild, Kenneth L., 1995. "Managerial ownership, accounting choices, and informativeness of earnings," Journal of Accounting and Economics, Elsevier, vol. 20(1), pages 61-91, July.
    16. Collins, Daniel W. & Kothari, S. P., 1989. "An analysis of intertemporal and cross-sectional determinants of earnings response coefficients," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 143-181, July.
    17. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    18. Wild, John J., 1992. "Stock price informativeness of accounting numbers: Evidence on earnings, book values, and their components," Journal of Accounting and Public Policy, Elsevier, vol. 11(2), pages 119-154.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:mth:ijafr8:v:8:y:2018:i:2:p:126-151 is not listed on IDEAS
    2. C. Elizabeth Plummer & Senyo Y. Tse, 1999. "The Effect of Limited Liability on the Informativeness of Earnings: Evidence from the Stock and Bond Markets," Contemporary Accounting Research, John Wiley & Sons, vol. 16(3), pages 541-574, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fargher, Neil & Wee, Marvin, 2019. "The impact of Ball and Brown (1968) on generations of research," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 55-72.
    2. Core, John E. & Schrand, Catherine M., 1999. "The effect of accounting-based debt covenants on equity valuation1," Journal of Accounting and Economics, Elsevier, vol. 27(1), pages 1-34, February.
    3. Barth, Mary E. & Beaver, William H. & Landsman, Wayne R., 1998. "Relative valuation roles of equity book value and net income as a function of financial health," Journal of Accounting and Economics, Elsevier, vol. 25(1), pages 1-34, February.
    4. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    5. Kothari, S. P. & Zimmerman, Jerold L., 1995. "Price and return models," Journal of Accounting and Economics, Elsevier, vol. 20(2), pages 155-192, September.
    6. Subramanyam, K. R., 1996. "The pricing of discretionary accruals," Journal of Accounting and Economics, Elsevier, vol. 22(1-3), pages 249-281, October.
    7. Basu, Sudipta, 1997. "The conservatism principle and the asymmetric timeliness of earnings," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 3-37, December.
    8. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    9. Fayçal Mraihi, 2016. "Distressed Company Prediction Using Logistic Regression: Tunisian’s Case," Quarterly Journal of Business Studies, Research Academy of Social Sciences, vol. 2(1), pages 34-54.
    10. 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.
    11. Ruey S. Tsay & Yi-Mien Lin & Hsiao-Wen Wang, 2009. "Residual income, non-earnings information, and information content," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 487-511.
    12. Evangelos C. Charalambakis, 2015. "On the Prediction of Corporate Financial Distress in the Light of the Financial Crisis: Empirical Evidence from Greek Listed Firms," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 407-428, November.
    13. Habib, Ahsan, 2008. "The role of accruals and cash flows in explaining security returns: Evidence from New Zealand," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 17(1), pages 51-66.
    14. Maurice Peat & Stewart Jones, 2012. "Using Neural Nets To Combine Information Sets In Corporate Bankruptcy Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(2), pages 90-101, April.
    15. Mohamed Sellami, 2006. "Typologie des déterminants comptables de la valeur : Apports de l'approche économique de l'information dans la mesure de la valeur," Post-Print halshs-00558252, HAL.
    16. Evangelos C. Charalambakis & Ian Garrett, 2016. "On the prediction of financial distress in developed and emerging markets: Does the choice of accounting and market information matter? A comparison of UK and Indian Firms," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 1-28, July.
    17. Evangelos C. Charalambakis & Ian Garrett, 2019. "On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 467-491, February.
    18. Dominic Gasbarro & Sunil Bundoo & J. Kenton Zumwalt, 2003. "Underpricing and Aftermarket Performance of IPO Firms in Mauritius," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 2(3), pages 315-335, September.
    19. Fayçal Mraihi & Inane Kanzari & Mohamed Tahar Rajhi, 2015. "Development of a Prediction Model of Failure in Tunisian Companies: Comparison between Logistic Regression and Support Vector Machines," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(3), pages 184-205.
    20. repec:mth:ijafr8:v:8:y:2018:i:2:p:126-151 is not listed on IDEAS
    21. Evangelos C. Charalambakis, 2014. "On corporate financial distress prediction: what can we learn from private firms in a small open economy?," Working Papers 188, Bank of Greece.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:coacre:v:13:y:1996:i:1:p:251-273. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1911-3846 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.