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

Citations

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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. Silhan, Peter A., 2014. "Income smoothing from a Census X-12 perspective," Advances in accounting, Elsevier, vol. 30(1), pages 106-115.
  3. 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.
  4. 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.
  5. He, Shuoyuan & Narayanamoorthy, Ganapathi (Gans), 2020. "Earnings acceleration and stock returns," Journal of Accounting and Economics, Elsevier, vol. 69(1).
  6. 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.
  7. 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.
  8. 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.
  9. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
  10. 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.
  11. 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.
  12. Xinyue Cui & Zhaoyu Xu & Yue Zhou, 2020. "Using Machine Learning to Forecast Future Earnings," Papers 2005.13995, arXiv.org.
  13. 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.
  14. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  20. 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.
  21. 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).
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  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. 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.
  30. 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.
  31. Mundt, Philipp & Alfarano, Simone & Milaković, Mishael, 2020. "Exploiting ergodicity in forecasts of corporate profitability," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. Sen, Kaustav, 2009. "Earnings surprise and sophisticated investor preferences in India," Journal of Contemporary Accounting and Economics, Elsevier, vol. 5(1), pages 1-19.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. Lorek, Kenneth S., 2014. "Trends in statistically based quarterly cash-flow prediction models," Accounting forum, Elsevier, vol. 38(2), pages 145-151.
  54. 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.
  55. repec:mth:ijafr8:v:9:y:2019:i:1:p:74-88 is not listed on IDEAS
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  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.
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