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How are analysts’ forecasts affected by high uncertainty?

Author

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  • Dan Amiram
  • Wayne R. Landsman
  • Edward L. Owens
  • Stephen R. Stubben

Abstract

This study examines whether key characteristics of analysts’ forecasts—timeliness, accuracy, and informativeness—change when investor demand for information is likely to be especially high, i.e., during periods of high uncertainty. Findings reveal that when uncertainty is high, analysts’ forecasts are more timely but less accurate. However, analysts’ forecasts are also more informative to the market, which is consistent with investors’ demand for timely information, even if it is less accurate. We observe these findings when market prices are increasing and decreasing, consistent with the findings resulting from uncertainty in general rather than just uncertainty associated with market declines. We also examine how timeliness, accuracy, and informativeness change in response to elevated levels of three sources of uncertainty—market, industry, and firm level. We predict and find that analysts are better able to deal with heightened industry uncertainty, as reflected by greater timeliness with no loss in forecast accuracy. In contrast, analysts have greater difficulty dealing with heightened market uncertainty, as both timeliness and forecast accuracy decline.

Suggested Citation

  • Dan Amiram & Wayne R. Landsman & Edward L. Owens & Stephen R. Stubben, 2018. "How are analysts’ forecasts affected by high uncertainty?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 45(3-4), pages 295-318, March.
  • Handle: RePEc:bla:jbfnac:v:45:y:2018:i:3-4:p:295-318
    DOI: 10.1111/jbfa.12270
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    Cited by:

    1. Chen, Min & Zhu, Zhaobo & Han, Peiwen & Chen, Bo & Liu, Jia, 2022. "Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom," International Review of Financial Analysis, Elsevier, vol. 79(C).
    2. Kim, Robert & Kim, Sangwan, 2021. "Does revenue-expense matching play a differential role in analysts’ earnings and revenue forecasts?," The British Accounting Review, Elsevier, vol. 53(5).
    3. Mei-Chen Lin & J. Jimmy Yang, 2023. "Do lottery characteristics matter for analysts’ forecast behavior?," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 1057-1091, October.
    4. Minzhi Wu & Mark Wilson, 2022. "How well do analysts really understand asymmetric cost behaviour?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3951-3985, September.
    5. Yu, Sijia & Zhang, Junrui & Qiu, Meng, 2020. "Political uncertainty and analysts’ forecasts: Evidence from China," Finance Research Letters, Elsevier, vol. 36(C).
    6. Ho, Tuan & Nguyen, Yen & Parikh, Bhavik & Vo, Dinh-Tri, 2020. "Does foreign exchange risk matter to equity research analysts when forecasting stock prices? Evidence from U.S. firms," International Review of Financial Analysis, Elsevier, vol. 72(C).
    7. Chen Su, 2023. "The price impact of analyst revisions and the state of the economy: Evidence around the world," The Financial Review, Eastern Finance Association, vol. 58(4), pages 887-930, November.
    8. Jieqiong Wang & Xiao Zhang & Mingjie Dai, 2021. "Influences of Economic Policy Uncertainty on Corporate Social Responsibility Information Disclosure," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 843-843, August.
    9. Hasan, Mostafa Monzur & Cheung, Adrian (Wai Kong) & Taylor, Grantley, 2020. "Financial statement comparability and bank risk-taking," Journal of Contemporary Accounting and Economics, Elsevier, vol. 16(3).
    10. Kim, Sehee & Lee, Woo-Jong & Park, Sunyoung & Sunwoo, Hee-Yeon, 2022. "Busy analysts in uncertain times," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Min Chen & Zhaobo Zhu & Peiwen Han & Bo Chen & Jia Liu, 2022. "Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom," Post-Print hal-03628930, HAL.
    12. Yang, Xiaohui & Chen, Wei, 2021. "The joint effects of macroeconomic uncertainty and cyclicality on management and analyst earnings forecasts," Journal of Economics and Business, Elsevier, vol. 116(C).
    13. Pawel Bilinski, 2023. "Analyst Research Activity During the COVID‐19 Pandemic," Abacus, Accounting Foundation, University of Sydney, vol. 59(4), pages 1041-1073, December.
    14. Po‐Chang Chen & Ganapathi S. Narayanamoorthy & Theodore Sougiannis & Hui Zhou, 2020. "Analyst underreaction and the post‐forecast revision drift," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(9-10), pages 1151-1181, October.
    15. Min Chen & Lufei Ruan & Zhaobo Zhu & Fangjun Sang, 2020. "Macro uncertainty, analyst performance, and managerial ability," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 333-353, September.
    16. Li, Wanyun, 2022. "Disclosure of internal control material weaknesses and optimism in analyst earnings forecasts," International Journal of Accounting Information Systems, Elsevier, vol. 44(C).
    17. Lee A. Smales, 2022. "The influence of policy uncertainty on exchange rate forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 997-1016, August.
    18. Yunqi Fan & Yanwei Zhang, 2024. "Consequences of firm-specific stock price crashes on analyst forecasts: Evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    19. Sinha, Rajesh Kumar, 2021. "Macro disagreement and analyst forecast properties," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(1).
    20. Chen Su & Hanxiong Zhang & Robert S. Hudson, 2020. "The time‐varying performance of UK analyst recommendation revisions: Do market conditions matter?," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 29(2), pages 65-89, May.

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