Korean Academic Society of Business Administration
[ Article ]
korean management review - Vol. 50, No. 3, pp.777-804
ISSN: 1226-1874 (Print)
Print publication date 30 Jun 2021
Received 24 Sep 2020 Revised 09 Jan 2021 Accepted 27 Jan 2021
DOI: https://doi.org/10.17287/kmr.2021.50.3.777

기업의 수명주기가 재무분석가의 이익예측 정확성에 미치는 영향

Woo Jae Lee
(First Author) Jeonbuk National University wjlee@jbnu.ac.kr
The Effect of Corporate Life Cycle on Analyst Earnings Forecast Accuracy


Copyright 2011 THE KOREAN ACADEMIC SOCIETY OF BUSINESS ADMINISTRATION
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study examines the impact of a firm’s life cycle on the accuracy of analyst forecasts by considering the life cycle as a proxy of time-series change in a firm’s environment. The results show that the accuracy of analyst forecasts is lower in introduction and decline stages than the other stages. In contrast, forecasts in the growth and mature stages show relatively higher accuracy. Furthermore, the systematic association between life cycle stage and the accuracy of analyst forecast is derived from firms reporting high quality accruals and clients of Big 4 auditors. The results are consistent in case of using the two-stage regression tests to mitigate endogeneity concern existing in firms between analyst-followed and non-followed. Also, the results are robust when using the forecasts that are close to the earnings announcement date and those that are not. This study extends prior research that finds the effect of firm-level characteristics on analysts forecasting activities by exploring the macro-level consequences through life cycle stages.

Keywords:

Corporate life cycle, analyst earnings forecast, forecast accuracy, analyst following, accounting quality

Acknowledgments

This research was supported by “Research Base Construction Fund Support Program” funded by Jeonbuk National University in 2020.

References

  • Ahn Y. Y., H. H. Shin, and J. H. Chang(2005), “The Relationship between the Foreign Investor And Information Asymmetry,” Korean Accounting Review, 30(4), pp.109-131.
  • Alford, A. W. and P. G. Berger(1999), “A simultaneous equations analysis of forecast accuracy, analyst following, and trading volume. Journal of Accounting,” Auditing & Finance, 14(3), pp.219-240. [https://doi.org/10.1177/0148558X9901400303]
  • Anthony, J. H., and K. Ramesh(1992), “Association between accounting performance measures and stock prices: A test of the life cycle hypothesis,” Journal of Accounting and Economics, 15(2), pp.203-227. [https://doi.org/10.1016/0165-4101(92)90018-W]
  • Barron, O. E., D. Byard, and Y. Yu(2008), “Earnings surprises that motivate analysts to reduce average forecast error,” The Accounting Review, 83(2), pp.303-325. [https://doi.org/10.2308/accr.2008.83.2.303]
  • Becker, C. L., M. L. DeFond, J. Jiambalvo, and K. R. Subramanyam(1998), “The effect of audit quality on earnings management,” Contemporary Accounting Research, 15(1), pp.1-24. [https://doi.org/10.1111/j.1911-3846.1998.tb00547.x]
  • Behn, B. K., J. H. Choi, and T. Kang(2008), “Audit quality and properties of analyst earnings forecasts,” The Accounting Review, 83(2), pp.327-349. [https://doi.org/10.2308/accr.2008.83.2.327]
  • Beyer, A., D. Cohen, and T. Lys(2010), “The financial reporting environment: Review of the recent literature,” Journal of Accounting and Economics, 50(2-3), pp.296-343. [https://doi.org/10.1016/j.jacceco.2010.10.003]
  • Black, E(1998), “Life-cycle impacts on the incremental value-relevance of earnings and cash flow measures,” The Journal of Financial Statement Analysis 4, pp.40-56.
  • Brown, L. D(1993), “Earnings forecasting research: Its implications for capital market research,” International Journal of Forecasting 9, pp. 295-320. [https://doi.org/10.1016/0169-2070(93)90023-G]
  • Burgstahler, D. C., and M. J. Eames(2003), “Earnings management to avoid losses and earnings decreases: are analysts fooled?” Contemporary Accounting Research, 20(2), pp.253-294. [https://doi.org/10.1506/BXXP-RGTD-H0PM-9XAL]
  • Bhushan, R(1989), “Firm characteristics and analyst following,” Journal of Accounting and Economics, 11(2-3), pp.255-274. [https://doi.org/10.1016/0165-4101(89)90008-6]
  • Byard, D., Y. Li, and Y. Yu(2011), “The Effect of Mandatory IFRS Adoption on Financial Analysts’ Information Environment,” Journal of Accounting Research, 49(1), pp.69-96. [https://doi.org/10.1111/j.1475-679X.2010.00390.x]
  • Byun, H. Y.(2012), “The Effects of the Concentrated Ownership Structure on Analyst Following and Firm Value,” Review of Accounting and Policy Studies, 17(2), pp.61-87.
  • Choi, S. U.(2018), “The Effect of Analysts” Forecasts Experience on Analyst and Management Earnings Forecasts Accuracy,” Korean Journal of Business Administration, 31(1), pp.159-180. [https://doi.org/10.18032/kaaba.2018.31.1.159]
  • Choi, S. Y., M. I. Kim, and J, C. Bae(2019), “The Determinants of Analysts’ Long-term Earnings Forecasts : Focusing on Earnings Persistence,” Korean International Accounting Review, 88, pp.263-292.
  • Clement, M(1999), “Analyst forecast accuracy: Do ability, resources, and portfolio complexity Matter?,” Journal of Accounting and Economics, 27(3), pp.285-303. [https://doi.org/10.1016/S0165-4101(99)00013-0]
  • DeAngelo, L. E(1981), “Auditor size and audit quality,” Journal of Accounting and Economics, 3(3), pp.183-199. [https://doi.org/10.1016/0165-4101(81)90002-1]
  • Dechow, P. M., A. P. Hutton, and R. G. Sloan(2000), “The relation between analysts' forecasts of long‐term earnings growth and stock price performance following equity offerings,” Contemporary Accounting Research, 17(1), pp. 1-32. [https://doi.org/10.1111/j.1911-3846.2000.tb00908.x]
  • Dichev, I. D. and V. W. Tang(2009), “Earnings volatility and earnings predictability,” Journal of Accounting and Economics, 47(1-2), pp. 160-181. [https://doi.org/10.1016/j.jacceco.2008.09.005]
  • Dickinson, V(2011), “Cash flow patterns as a proxy for firm life cycle,” The Accounting Review, 86(6), pp.1969-1994. [https://doi.org/10.2308/accr-10130]
  • Ha, S. T. and S. P. Cho(2020), “Firm Life Cycle and Stock Price Informativeness on Future Earnings,” Korean Accounting Review, 45(1), pp.1-36. [https://doi.org/10.24056/KAR.2019.09.008]
  • Haw, I. M., B. Hu, and J. J. Lee(2015), “Product market competition and analyst forecasting activity: International evidence,” Journal of Banking & Finance, 56, pp.48-60. [https://doi.org/10.1016/j.jbankfin.2015.02.010]
  • Hilary, G. and R. Shen(2013), “The Role of analysts in intra-industry information transfer,” The Accounting Review, 88(4), pp.1265-1287. [https://doi.org/10.2308/accr-50437]
  • Hribar, P. and J. McInnis(2012), “Investor sentiment and analysts' earnings forecast errors,” Management Science, 58(2), pp.293-307. [https://doi.org/10.1287/mnsc.1110.1356]
  • Jeong, S. W.(2003), “Factors Associated with Analyst Following and Forecast Characteristics,” Korean Accounting Review, 28(4), pp.61-84.
  • Jones, J. J(1991), “Earnings management during import relief investigations,” Journal of Accounting Research, 29(2), pp.193-228. [https://doi.org/10.2307/2491047]
  • Kwon, S. Y. and B. Y. Moon(2009), “Decomposed Return on Equity, Future Profitability, and Value Relevance over the Firm Life Cycle,” Korean Management Review, 38(5), pp. 1213-1249.
  • Lee, E. S., W. J. Lee, and S. M. Kim(2018), “The Effect of Conservative Analysts Information on Analysts Earnings Forecast Accuracy Based on Accruals Quality,” Review of Accounting and Policy Studies, 23(1), pp.1-34. [https://doi.org/10.21737/kjar.2018.02.23.1.1]
  • Lee, S. R.(2013), “Firm Life Cycle and Earnings Response Coefficient,” Review of Accounting and Policy Studies, 18(3), pp.179-205.
  • Lee, W. J., S. W. Jeong, and S. U. Choi(2014), “The Effects of Provision of Incumbent Auditors’ IFRS Advisory Service on the Analysts’ Forecast Accuracy and Demand: Focused on K-IFRS Consolidated Financial Statements,” Korean Accounting Review, 39(3), pp.249-290.
  • Lim, T(2001), “Rationality and analysts' forecast bias,” The journal of Finance, 56(1), pp. 369-385. [https://doi.org/10.1111/0022-1082.00329]
  • Moon, H., E. Jo, and K. Choi(2016), “Firm Life Cycle and Financial Reporting Comparability,” Korean Management Review, 45(1), pp.67-93. [https://doi.org/10.17287/kmr.2016.45.1.67]
  • Paek W. S. and S. J. Park(2013), “Research Articles : Firm Life-Cycle Stages, Revenue-Expense Matching, and the Differential Patterns of Expense Recognition,” Korean Accounting Review, 38(2), pp.215~245.
  • Park, W.(2018), “The Effect of the Firm’s Life Cycle on the Leverage or Performance by Earnings Management,” Korean International Accounting Review, 78, pp.19-45. [https://doi.org/10.21073/kiar.2018..78.002]
  • Quinn, R. E. and K. Cameron(1983), “Organizational life cycles and shifting criteria of effectiveness: Some preliminary evidence,” Management Science, 29(1), pp.33-51. [https://doi.org/10.1287/mnsc.29.1.33]
  • Rajan, R. and H. Servaes(1997), “Analyst following of initial public offerings,” The Journal of Finance, 52(2), pp.507-529. [https://doi.org/10.1111/j.1540-6261.1997.tb04811.x]
  • Tan, H., S. Wang, and M. Welker(2011), “Analyst Following and Forecast Accuracy after Mandated IFRS Adoptions,” Journal of Accounting Research 49(5), pp.1307-1357. [https://doi.org/10.1111/j.1475-679X.2011.00422.x]
  • Vorst, P., and T. L. Yohn(2018), “Life cycle models and forecasting growth and profitability,” The Accounting Review, 93(6), pp.357-381. [https://doi.org/10.2308/accr-52091]

∙ The author Woo Jae Lee is an assistant professor at Department of Accounting, College of Commerce, Jeonbuk National University. Her primary research interests are accounting transparency and quality. Recent research projects integrate accounting issues with social environment.