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Predictive gains to segmental disclosure matrices, geographic information and industry sector comparability

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  • Kou, Wenchao
  • Hussain, Simon

Abstract

The aim of this study is to provide a detailed analysis of the multi-dimensional characteristics of segmental reporting, and their impact on improving investor-insight. We do this by examining the ability of segmental reporting characteristics among FTSE-100 firms to explain variation in the accuracy of analysts’ forecasts of earnings per share. We find that analyst-insight is significantly improved by the provision of data within a business-geographical matrix format, consistent with prior ‘laboratory’ evidence and UK analysts’ stated opinions in surveys. We also find that analyst-insight is improved where firms provide information regarding differences between their geographic markets and origins. In addition, analysts obtain improved insight from business segments that have a high degree of comparability to their respective industry sectors and where geographic segments are reported in a detailed manner.

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  • 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.
    • Handle: RePEc:eee:bracre:v:39:y:2007:i:3:p:183-195
    DOI: 10.1016/j.bar.2007.05.002
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    Cited by:

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    2. van der Heijden, Hans, 2022. "Predicting industry sectors from financial statements: An illustration of machine learning in accounting research," The British Accounting Review, Elsevier, vol. 54(5).
    3. Ahmed Aboud & Clare Roberts & Khaled Hussainey, 2019. "The impact of IFRS 8 on segment information quality in the European Union: a multi-dimensional analysis," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(2), pages 100-115, July.
    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. Aboud, Ahmed & Roberts, Clare, 2018. "Managers’ segment disclosure choices under IFRS 8: EU evidence," Accounting forum, Elsevier, vol. 42(4), pages 293-308.
    6. Aboud, Ahmed, 2023. "Segmental reporting, accounting enforcement, and analyst forecast dispersion in the European Union," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 53(C).
    7. 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).
    8. Kang, Helen & Gray, Sidney J., 2019. "Country-specific risks and geographic disclosure aggregation: Voluntary disclosure behaviour by British multinationals," The British Accounting Review, Elsevier, vol. 51(3), pages 259-276.
    9. Zhao, Ling & Huang, Hao, 2024. "Information disclosure by industry and the cost of equity: Evidence from a quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 196-212.
    10. 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).
    11. Ahmed Saleh & Ahmed Aboud & Yasser Eliwa, 2023. "IFRS 8 and the cost of capital in Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3198-3231, July.

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