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A critical assessment of the time-series literature in accounting pertaining to quarterly accounting numbers

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  • Lorek, Kenneth S.

Abstract

This paper summarizes, critiques, and synthesizes the time-series literature in accounting pertaining to quarterly accounting numbers. It reviews work on quarterly earnings, quarterly balance sheet and income statement subcomponents, and quarterly cash-flows from operations (CFOs). Several salient findings emerge. First, the premier ARIMA models attributed to Foster (1977), Griffin (1977) and Brown and Rozeff (1979) were identified on relatively small samples dominated by “old economy” firms. It appears that the descriptive validity of these ARIMA structures must be called into question when analyzing more current databases replete with high-technology, regulated, and financial-service firms (Lorek & Willinger, 2007). Second, the use of ARIMA-based analytical review procedures in audit settings is not cost effective. Third, recent evidence (Lorek & Willinger, 2008, 2011) supports the univariate Brown & Rozeff (100) × (011) ARIMA model as the best statistically-based prediction model for quarterly CFO, a finding of considerable import to analysts, investors, and researchers.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:advacc:v:30:y:2014:i:2:p:315-321
    DOI: 10.1016/j.adiac.2014.09.008
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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. Paul Hribar & Daniel W. Collins, 2002. "Errors in Estimating Accruals: Implications for Empirical Research," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 105-134, March.
    5. Griffin, Pa, 1977. "Time-Series Behavior Of Quarterly Earnings - Preliminary Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 15(1), pages 71-83.
    6. Wilson, Gp, 1986. "The Relative Information-Content Of Accruals And Cash Flows - Combined Evidence At The Earnings Announcement And Annual-Report Release Date," Journal of Accounting Research, Wiley Blackwell, vol. 24, pages 165-200.
    7. 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.
    8. Brown, LD & Han, JCY, 2000. "Do stock prices fully reflect the implications of current earnings for future earnings for AR1 firms?," Journal of Accounting Research, Wiley Blackwell, vol. 38(1), pages 149-164.
    9. Lorek, Ks & Bathke, Aw, 1984. "A Time-Series Analysis Of Nonseasonal Quarterly Earnings Data," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 369-379.
    10. Coates, R, 1972. "Predictive Content Of Interim Reports - Time Series Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 10, pages 132-144.
    11. Ball, Ray & Watts, Ross, 1972. "Some Time Series Properties of Accounting Income," Journal of Finance, American Finance Association, vol. 27(3), pages 663-681, June.
    12. 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.
    13. Ran Barniv & Mark J. Myring & Wayne B. Thomas, 2005. "The Association between the Legal and Financial Reporting Environments and Forecast Performance of Individual Analysts," Contemporary Accounting Research, John Wiley & Sons, vol. 22(4), pages 727-758, December.
    14. Hopwood, Ws & Mckeown, Jc, 1981. "An Evaluation Of Univariate Time-Series Earnings Models And Their Generalization To A Single Input Transfer-Function," Journal of Accounting Research, Wiley Blackwell, vol. 19(2), pages 313-322.
    15. Bamber, Ls, 1986. "The Information-Content Of Annual Earnings Releases - A Trading Volume Approach," Journal of Accounting Research, Wiley Blackwell, vol. 24(1), pages 40-56.
    16. Hopwood, Ws, 1980. "The Transfer-Function Relationship Between Earnings And Market-Industry Indexes - An Empirical-Study," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 77-90.
    17. Brown, Ld & Rozeff, Ms, 1979. "Univariate Time-Series Models Of Quarterly Accounting Earnings Per Share - Proposed Model," Journal of Accounting Research, Wiley Blackwell, vol. 17(1), pages 179-189.
    18. Thomas, Jacob K., 1993. "Comments on 'Earnings forecasting research: its implications for capital markets research', by L. Brown," International Journal of Forecasting, Elsevier, vol. 9(3), pages 325-330, November.
    19. 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.
    20. 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.
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    2. 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.

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