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Predicting Earnings - Entity Versus Subentity Data

Author

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  • KINNEY, WR

Abstract

No abstract is available for this item.

Suggested Citation

  • Kinney, Wr, 1971. "Predicting Earnings - Entity Versus Subentity Data," Journal of Accounting Research, Wiley Blackwell, vol. 9(1), pages 127-136.
    • Handle: RePEc:bla:joares:v:9:y:1971:i:1:p:127-136
    DOI: http://hdl.handle.net/10.2307/2490206
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    Cited by:

    1. Han Lin Shang, 2017. "Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 55-84, February.
    2. Ole‐Kristian Hope & Tony Kang & Wayne B. Thomas & Florin Vasvari, 2008. "Pricing and Mispricing Effects of SFAS 131," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3‐4), pages 281-306, April.
    3. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    4. Aboud, Ahmed & Roberts, Clare & Mansour Zalata, Alaa, 2018. "The impact of IFRS 8 on financial analysts’ earnings forecast errors: EU evidence," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 33(C), pages 2-17.
    5. Athanasopoulos, George & Ahmed, Roman A. & Hyndman, Rob J., 2009. "Hierarchical forecasts for Australian domestic tourism," International Journal of Forecasting, Elsevier, vol. 25(1), pages 146-166.
    6. Rucsandra Moldovan, 2014. "Post-Implementation Reviews for IASB and FASB Standards: A Comparison of the Process and Findings for the Operating Segments Standards," Accounting in Europe, Taylor & Francis Journals, vol. 11(1), pages 113-137, June.
    7. Lila, Maurício Franca & Meira, Erick & Cyrino Oliveira, Fernando Luiz, 2022. "Forecasting unemployment in Brazil: A robust reconciliation approach using hierarchical data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    8. Hyndman, Rob J. & Ahmed, Roman A. & Athanasopoulos, George & Shang, Han Lin, 2011. "Optimal combination forecasts for hierarchical time series," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2579-2589, September.
    9. Kou, Wenchao & Hussain, Simon, 2007. "Predictive gains to segmental disclosure matrices, geographic information and industry sector comparability," The British Accounting Review, Elsevier, vol. 39(3), pages 183-195.
    10. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
    11. Peter Kajüter & Martin Nienhaus, 2017. "The Impact of IFRS 8 Adoption on the Usefulness of Segment Reports," Abacus, Accounting Foundation, University of Sydney, vol. 53(1), pages 28-58, March.
    12. Patricia M. Fairfield & Sundaresh Ramnath & Teri Lombardi Yohn, 2009. "Do Industry‐Level Analyses Improve Forecasts of Financial Performance?," Journal of Accounting Research, Wiley Blackwell, vol. 47(1), pages 147-178, March.
    13. Janice C. Y. How & Yion K. Phung & Peter Verhoeven, 2005. "Accuracy of Analysts' Earnings Forecasts: Evidence from Mergers and Acquisitions in Australia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 1(1), pages 67-80.
    14. George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023. "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers 8/23, Monash University, Department of Econometrics and Business Statistics.
    15. Senyo Tse, 1989. "Attributes of industry, industry segment and firm†specific information in security valuation," Contemporary Accounting Research, John Wiley & Sons, vol. 5(2), pages 592-614, March.
    16. André, Paul & Filip, Andrei & Moldovan, Rucsandra, 2016. "Segment Disclosure Quantity and Quality under IFRS 8: Determinants and the Effect on Financial Analysts' Earnings Forecast Errors," The International Journal of Accounting, Elsevier, vol. 51(4), pages 443-461.

    More about this item

    Keywords

    Conglomerates; Earnings forecasting; Earnings predictability; Earnings disaggregation;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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