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Analyst revenue forecast reporting and the quality of revenues and expenses

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  • Pawel Bilinski
  • Michael Eames

Abstract

We decompose earnings quality into revenue and expense quality and examine their associations with analyst propensity to supplement their earnings forecasts with revenue forecasts. Analysts report more revenue forecasts to I/B/E/S when expense quality is low to compensate for the low accuracy of their earnings estimates, which has a positive association with expense quality. Expense quality is unassociated with revenue forecast accuracy, thus revenue forecasts become increasingly useful for valuing firms when expense quality is low. Analysts report fewer revenue forecasts when revenue quality is low because both earnings and revenue forecast accuracy decline as revenue quality deteriorates. To control for endogeneity, we use firm‐fixed effects to control for unobserved time‐invariant heterogeneity across firms, instrumental variables regressions and regression in changes.

Suggested Citation

  • Pawel Bilinski & Michael Eames, 2019. "Analyst revenue forecast reporting and the quality of revenues and expenses," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 46(1-2), pages 136-158, January.
    • Handle: RePEc:bla:jbfnac:v:46:y:2019:i:1-2:p:136-158
    DOI: 10.1111/jbfa.12355
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    Cited by:

    1. Pawel Bilinski, 2023. "Analyst Research Activity During the COVID‐19 Pandemic," Abacus, Accounting Foundation, University of Sydney, vol. 59(4), pages 1041-1073, December.
    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. Mai Dao & Trung Pham & Hongkang Xu, 2022. "Internal control effectiveness and trade credit," Review of Quantitative Finance and Accounting, Springer, vol. 59(4), pages 1423-1452, November.
    4. Manish Bansal, 2024. "Do shifting practices vary across the firm life cycle?," Australian Journal of Management, Australian School of Business, vol. 49(2), pages 142-169, May.
    5. Al-Aamri, Ibrahim & Hussain, Simon & Su, Chen & Hsu, Hwa-Hsien, 2022. "The importance of brokerage house size in determining the utility of IFRS8 segment data to financial analysts," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 47(C).
    6. Wei-Da Chen & Chin-Te Yu, 2022. "The information value of interim accounting disclosures: evidence from mandatory monthly revenue reports," Review of Quantitative Finance and Accounting, Springer, vol. 58(1), pages 245-295, January.
    7. Bansal, Manish & Kumar, Ashish & Bhattacharyya, Asit & Bashir, Hajam Abid, 2023. "Predictors of revenue shifting and expense shifting: Evidence from an emerging economy," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(1).

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