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Analysts versus time-series forecasts of quarterly earnings: A maintained hypothesis revisited

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  • Pagach, Donald P.
  • Warr, Richard S.

Abstract

We re-examine the maintained hypothesis of analysts' quarterly earnings per share (EPS) superiority versus ARIMA time-series forecasts. While our empirical results are consistent with overall analysts' dominance, they suggest a more contextual interpretation of this important relationship. Specifically, we find that for a relatively large number of cases (approximately 40%) ARIMA time-series forecasts of quarterly EPS are equal to or more accurate than consensus analysts' forecasts. Moreover, the percentage of time-series superiority increases: (1) for longer forecast horizons, (2) as firm size decreases, and (3) for high-technology firms. Due to the data demands that ARIMA forecasting requires we also examine using a seasonal random walk (SRW) model that requires only one year of data to create quarterly forecasts. Although the ARIMA time-series model results in a significant reduction in sample size it dominates the SRW model. Our findings support the analyst dominance over time series models but suggest that ARIMA time-series models may provide useful input to researchers seeking quarterly EPS expectation models for certain types of firms.

Suggested Citation

  • Pagach, Donald P. & Warr, Richard S., 2020. "Analysts versus time-series forecasts of quarterly earnings: A maintained hypothesis revisited," Advances in accounting, Elsevier, vol. 51(C).
    • Handle: RePEc:eee:advacc:v:51:y:2020:i:c:s0882611020300675
    DOI: 10.1016/j.adiac.2020.100497
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    1. Peter D. Easton & Gregory A. Sommers, 2007. "Effect of Analysts' Optimism on Estimates of the Expected Rate of Return Implied by Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 45(5), pages 983-1015, December.
    2. Hopwood, Ws & Mckeown, Jc & Newbold, P, 1982. "The Additional Information-Content Of Quarterly Earnings Reports - Intertemporal Disaggregation," Journal of Accounting Research, Wiley Blackwell, vol. 20(2), pages 343-349.
    3. Brown, Lawrence D., 1993. "Reply to commentaries on "Earnings forecasting research: its implications for capital markets research"," International Journal of Forecasting, Elsevier, vol. 9(3), pages 343-344, November.
    4. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    5. Fried, Dov & Givoly, Dan, 1982. "Financial analysts' forecasts of earnings : A better surrogate for market expectations," Journal of Accounting and Economics, Elsevier, vol. 4(2), pages 85-107, October.
    6. Brown, Lawrence D & Rozeff, Michael S, 1978. "The Superiority of Analyst Forecasts as Measures of Expectations: Evidence from Earnings," Journal of Finance, American Finance Association, vol. 33(1), pages 1-16, March.
    7. Lev, B & Zarowin, P, 1999. "The boundaries of financial reporting and how to extend them," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 353-385.
    8. Brown, Lawrence D., 1993. "Earnings forecasting research: its implications for capital markets research," International Journal of Forecasting, Elsevier, vol. 9(3), pages 295-320, November.
    9. Brown, Lawrence D., 1991. "Forecast selection when all forecasts are not equally recent," International Journal of Forecasting, Elsevier, vol. 7(3), pages 349-356, November.
    10. Orie E. Barron & Donal Byard & Charles Kile & Edward J. Riedl, 2002. "High‐Technology Intangibles and Analysts’ Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 40(2), pages 289-312, May.
    11. Collins, Daniel W. & Maydew, Edward L. & Weiss, Ira S., 1997. "Changes in the value-relevance of earnings and book values over the past forty years," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 39-67, December.
    12. Brown, Lawrence D. & Hagerman, Robert L. & Griffin, Paul A. & Zmijewski, Mark E., 1987. "Security analyst superiority relative to univariate time-series models in forecasting quarterly earnings," Journal of Accounting and Economics, Elsevier, vol. 9(1), pages 61-87, April.
    13. Griffin, Pa, 1977. "Time-Series Behavior Of Quarterly Earnings - Preliminary Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 15(1), pages 71-83.
    14. Lorek, Ks, 1979. "Predicting Annual Net Earnings With Quarterly Earnings Time-Series Models," Journal of Accounting Research, Wiley Blackwell, vol. 17(1), pages 190-204.
    15. Francis, J & Schipper, K, 1999. "Have financial statements lost their relevance?," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 319-352.
    16. Mark T. Bradshaw & Scott A. Richardson & Richard G. Sloan, 2001. "Do Analysts and Auditors Use Information in Accruals?," Journal of Accounting Research, Wiley Blackwell, vol. 39(1), pages 45-74, June.
    17. Stickel, Se, 1990. "Predicting Individual Analyst Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 28(2), pages 409-417.
    18. Brown, Philip, 1993. "Comments on 'Earnings forecasting research: its implications for capital markets research' by L. Brown," International Journal of Forecasting, Elsevier, vol. 9(3), pages 331-335, November.
    19. 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.
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    More about this item

    Keywords

    Analysts' quarterly EPS forecasts; ARIMA models; Maintained hypothesis; Expectation models;
    All these keywords.

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • 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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