IDEAS home Printed from https://ideas.repec.org/r/bla/joares/v17y1979i1p179-189.html
   My bibliography  Save this item

Univariate Time-Series Models Of Quarterly Accounting Earnings Per Share - Proposed Model

Citations

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


Cited by:

  1. Kenneth Lorek & G. Willinger & Allen Bathke, 2008. "Statistically based quarterly earnings expectation models for nonseasonal firms," Review of Quantitative Finance and Accounting, Springer, vol. 31(1), pages 105-119, July.
  2. Nicholas Dopuch & Chandra Seethamraju & Weihong Xu, 2008. "An empirical assessment of the premium associated with meeting or beating both time-series earnings expectations and analysts’ forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 31(2), pages 147-166, August.
  3. Jumming Hsu & Xu-Ming Wang & Chunchi Wu, 1998. "The Role of Earnings Information in Corporate Dividend Decisions," Management Science, INFORMS, vol. 44(12-Part-2), pages 173-191, December.
  4. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  5. Silhan, Peter A., 2014. "Income smoothing from a Census X-12 perspective," Advances in accounting, Elsevier, vol. 30(1), pages 106-115.
  6. Lawrence D. Brown & Mark E. Zmijewski, 1987. "The effect of labor strikes on security analysts' forecast superiority and on the association between risk†adjusted stock returns and unexpected earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 4(1), pages 61-75, September.
  7. Van Geyt, Debby & Van Cauwenberge, Philippe & Vander Bauwhede, Heidi, 2014. "Does high-quality corporate communication reduce insider trading profitability?," International Review of Law and Economics, Elsevier, vol. 37(C), pages 1-14.
  8. Ball, Ray & Bartov, Eli, 1996. "How naive is the stock market's use of earnings information?," Journal of Accounting and Economics, Elsevier, vol. 21(3), pages 319-337, June.
  9. Zana Grigaliuniene, 2013. "Time-Series Models Forecasting Performance In The Baltic Stock Market," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(1).
  10. Carabias, Jose M., 2018. "The real-time information content of macroeconomic news: implications for firm-level earnings expectations," LSE Research Online Documents on Economics 86399, London School of Economics and Political Science, LSE Library.
  11. Suijs, J.P.M., 2002. "Post Earnings Announcement Drift : More Risk than Investors can Bear," Discussion Paper 2002-45, Tilburg University, Center for Economic Research.
  12. Easterday, Kathryn E. & Sen, Pradyot K., 2016. "Is the January effect rational? Insights from the accounting valuation model," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 168-185.
  13. Lorek, Kenneth S., 2014. "Trends in statistically based quarterly cash-flow prediction models," Accounting forum, Elsevier, vol. 38(2), pages 145-151.
  14. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
  15. Ganapathi Narayanamoorthy, 2006. "Conservatism and Cross‐Sectional Variation in the Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 44(4), pages 763-789, September.
  16. Lawrence D. Brown, 1999. "Comment on “Post†Earnings Announcement Drift and the Diseemination of Predictable Information†," Contemporary Accounting Research, John Wiley & Sons, vol. 16(2), pages 341-345, June.
  17. Callen, Jeffrey L. & Morel, Mindy, 2005. "The valuation relevance of R&D expenditures: Time series evidence," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 304-325.
  18. Rui Lu & Wenxuan Hou & Henry Oppenheimer & Ting Zhang, 2018. "The Integrity of Financial Analysts: Evidence from Asymmetric Responses to Earnings Surprises," Journal of Business Ethics, Springer, vol. 151(3), pages 761-783, September.
  19. Richard M. Morton, 1998. "The Incremental Informativeness of Stock Prices for Future Accounting Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 15(1), pages 57-81, March.
  20. Callen, Jeffrey L. & Kwan, Clarence C. Y. & Yip, Patrick C. Y. & Yuan, Yufei, 1996. "Neural network forecasting of quarterly accounting earnings," International Journal of Forecasting, Elsevier, vol. 12(4), pages 475-482, December.
  21. Douglas Stevens & Arlington Williams, 2004. "Inefficiency in Earnings Forecasts: Experimental Evidence of Reactions to Positive vs. Negative Information," Experimental Economics, Springer;Economic Science Association, vol. 7(1), pages 75-92, February.
  22. Stanimir Markov & Ane Tamayo, 2006. "Predictability in Financial Analyst Forecast Errors: Learning or Irrationality?," Journal of Accounting Research, Wiley Blackwell, vol. 44(4), pages 725-761, September.
  23. John Affleck†Graves & Larry R. Davis & Richard R. Mendenhall, 1990. "Forecasts of earnings per share: Possible sources of analyst superiority and bias," Contemporary Accounting Research, John Wiley & Sons, vol. 6(2), pages 501-517, March.
  24. He, Shuoyuan & Narayanamoorthy, Ganapathi (Gans), 2020. "Earnings acceleration and stock returns," Journal of Accounting and Economics, Elsevier, vol. 69(1).
  25. Carnes, Thomas A. & Jones, Jefferson P. & Biggart, Timothy B. & Barker, Katherine J., 2003. "Just-in-time inventory systems innovation and the predictability of earnings," International Journal of Forecasting, Elsevier, vol. 19(4), pages 743-749.
  26. Sylvia Mardiana & Ferdinand Saragih & Martani Huseini, 2020. "Forecasting Gasoline Demand in Indonesia Using Time Series," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 132-145.
  27. Sen, Kaustav, 2009. "Earnings surprise and sophisticated investor preferences in India," Journal of Contemporary Accounting and Economics, Elsevier, vol. 5(1), pages 1-19.
  28. Ismail, Badr & Choi, Kwan, 1996. "Determinants of time-series properties of earnings and cash flows," Review of Financial Economics, Elsevier, vol. 5(2), pages 131-145.
  29. Po-Chin Wu & Chia-Jui Chang, 2017. "Nonlinear impacts of debt ratio and term spread on inward FDI performance persistence," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(3), pages 369-388, December.
  30. repec:mth:ijafr8:v:9:y:2019:i:1:p:74-88 is not listed on IDEAS
  31. Badr Ismail & Kwan Choi, 1996. "Determinants of time‐series properties of earnings and cash flows," Review of Financial Economics, John Wiley & Sons, vol. 5(2), pages 131-145.
  32. Zhang, Yuan, 2005. "Revenue recognition timing and attributes of reported revenue: The case of software industry's adoption of SOP 91-1," Journal of Accounting and Economics, Elsevier, vol. 39(3), pages 535-561, September.
  33. Jose M. Carabias, 2018. "The real-time information content of macroeconomic news: implications for firm-level earnings expectations," Review of Accounting Studies, Springer, vol. 23(1), pages 136-166, March.
  34. Balakrishnan, Karthik & Bartov, Eli & Faurel, Lucile, 2010. "Post loss/profit announcement drift," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 20-41, May.
  35. Mundt, Philipp & Alfarano, Simone & Milaković, Mishael, 2020. "Exploiting ergodicity in forecasts of corporate profitability," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
  36. Kenneth Lorek & G. Willinger, 2007. "The contextual nature of the predictive power of statistically-based quarterly earnings models," Review of Quantitative Finance and Accounting, Springer, vol. 28(1), pages 1-22, January.
  37. repec:grz:wpsses:2020-04 is not listed on IDEAS
  38. Ke, Bin & Ramalingegowda, Santhosh, 2005. "Do institutional investors exploit the post-earnings announcement drift?," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 25-53, February.
  39. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
  40. Rountree, Brian & Weston, James P. & Allayannis, George, 2008. "Do investors value smooth performance?," Journal of Financial Economics, Elsevier, vol. 90(3), pages 237-251, December.
  41. Jacob K. Thomas, 1999. "Discussion of “Post†Earnings Announcement Drift and the Dissemination of Predictable Information†," Contemporary Accounting Research, John Wiley & Sons, vol. 16(2), pages 333-340, June.
  42. Xinyue Cui & Zhaoyu Xu & Yue Zhou, 2020. "Using Machine Learning to Forecast Future Earnings," Papers 2005.13995, arXiv.org.
  43. Michael Calegari & Neil L. Fargher, 1997. "Evidence that Prices Do Not Fully Reflect the Implications of Current Earnings for Future Earnings: An Experimental Markets Approach," Contemporary Accounting Research, John Wiley & Sons, vol. 14(3), pages 397-433, September.
  44. Rä‚Zvan Popa, 2020. "Improving Earnings Predictions With Neural Network Models," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 26, pages 77-96, December.
  45. Butler, Marty & Kraft, Arthur & Weiss, Ira S., 2007. "The effect of reporting frequency on the timeliness of earnings: The cases of voluntary and mandatory interim reports," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 181-217, July.
  46. Kryzanowski, Lawrence & Mohsni, Sana, 2013. "Growth of aggregate corporate earnings and cash-flows: Persistence and determinants," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 13-23.
  47. Hussain, Anwar & Rahman, Muhammad & Memon, Junaid Alam, 2016. "Forecasting electricity consumption in Pakistan: the way forward," Energy Policy, Elsevier, vol. 90(C), pages 73-80.
  48. Suijs, J.P.M., 2002. "Post Earnings Announcement Drift : More Risk than Investors can Bear," Other publications TiSEM d6097fef-8dd8-4f8a-814a-7, Tilburg University, School of Economics and Management.
  49. Linnainmaa, Juhani T. & Torous, Walter & Yae, James, 2016. "Reading the tea leaves: Model uncertainty, robust forecasts, and the autocorrelation of analysts’ forecast errors," Journal of Financial Economics, Elsevier, vol. 122(1), pages 42-64.
  50. Pohl Philipp, 2017. "Valuation of a Company using Time Series Analysis," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 12(1), pages 1-39, February.
  51. Sean Shun Cao & Ganapathi S. Narayanamoorthy, 2012. "Earnings Volatility, Post–Earnings Announcement Drift, and Trading Frictions," Journal of Accounting Research, Wiley Blackwell, vol. 50(1), pages 41-74, March.
  52. Qing Cao & Mark Parry & Karyl Leggio, 2011. "The three-factor model and artificial neural networks: predicting stock price movement in China," Annals of Operations Research, Springer, vol. 185(1), pages 25-44, May.
  53. Leonard C. Soffer & Thomas Lys, 1999. "Post†Earnings Announcement Drift and the Dissemination of Predictable Information," Contemporary Accounting Research, John Wiley & Sons, vol. 16(2), pages 305-331, June.
  54. Paul A. Griffin & David H. Lont, 2021. "Evidence of an increasing trend in earnings surprises over the past two decades: The role of positive manager‐initiated non‐GAAP adjustments," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(9-10), pages 1525-1559, October.
  55. Dennis Fan & Raymond So & Jason Yeh, 2006. "Analyst Earnings Forecasts for Publicly Traded Insurance Companies," Review of Quantitative Finance and Accounting, Springer, vol. 26(2), pages 105-136, March.
  56. Lorek, Kenneth S., 2014. "A critical assessment of the time-series literature in accounting pertaining to quarterly accounting numbers," Advances in accounting, Elsevier, vol. 30(2), pages 315-321.
  57. Jan Alexander Fischer & Philipp Pohl & Dietmar Ratz, 2020. "A machine learning approach to univariate time series forecasting of quarterly earnings," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1163-1179, November.
  58. David L. Senteney, 1991. "Characteristics Of Earnings News And Operational Efficiency In The Nasdaq Securities Market," Review of Financial Economics, John Wiley & Sons, vol. 1(1), pages 49-61, September.
  59. Syouching Lai & Hungchih Li, 2006. "The predictive power of quarterly earnings per share based on time series and artificial intelligence model," Applied Financial Economics, Taylor & Francis Journals, vol. 16(18), pages 1375-1388.
  60. Stephannie A. Larocque & Melissa A. Martin & Beverly R. Walther, 2020. "Are Earnings Forecasts Informed by Proxy Statement Compensation Disclosures?†," Contemporary Accounting Research, John Wiley & Sons, vol. 37(2), pages 741-772, June.
  61. Brown, Lawrence D., 1996. "Influential accounting articles, individuals, Ph.D. granting institutions and faculties: A citational analysis," Accounting, Organizations and Society, Elsevier, vol. 21(7-8), pages 723-754.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.