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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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    1. Collins, Dw, 1976. "Predicting Earnings With Sub-Entity Data - Some Further Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 14(1), pages 163-177.
    2. Ole‐Kristian Hope, 2003. "Disclosure Practices, Enforcement of Accounting Standards, and Analysts' Forecast Accuracy: An International Study," Journal of Accounting Research, Wiley Blackwell, vol. 41(2), pages 235-272, May.
    3. Bartov, Eli & Givoly, Dan & Hayn, Carla, 2002. "The rewards to meeting or beating earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 33(2), pages 173-204, June.
    4. Simon Hussain, 1997. "The Impact of Segment Definition on the Accuracy of Analysts' Earnings Forecasts," Accounting and Business Research, Taylor & Francis Journals, vol. 27(2), pages 145-156.
    5. C. R. Emmanuel & N. Garrod, 2002. "On the Relevance and Comparability of Segmental Data," Abacus, Accounting Foundation, University of Sydney, vol. 38(2), pages 215-234, June.
    6. Obrien, Pc & Bhushan, R, 1990. "Analyst Following And Institutional Ownership," Journal of Accounting Research, Wiley Blackwell, vol. 28, pages 55-76.
    7. Philip G. Berger & Rebecca Hann, 2003. "The Impact of SFAS No. 131 on Information and Monitoring," Journal of Accounting Research, Wiley Blackwell, vol. 41(2), pages 163-223, May.
    8. Kinney, Wr, 1971. "Predicting Earnings - Entity Versus Subentity Data," Journal of Accounting Research, Wiley Blackwell, vol. 9(1), pages 127-136.
    9. John Capstaff & Krishna Paudyal & William Rees, 1999. "The relative forecast accuracy of UK brokers," Accounting and Business Research, Taylor & Francis Journals, vol. 30(1), pages 3-16.
    10. Lawrence D. Brown, 2001. "A Temporal Analysis of Earnings Surprises: Profits versus Losses," Journal of Accounting Research, Wiley Blackwell, vol. 39(2), pages 221-241, September.
    11. Gerald J. Lobo & Sung S. Kwon & Gordian A. Ndubizu, 1998. "The Impact of "SFAS No. 14 Segment Information on Price Variability and Earnings Forecast Accuracy"," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(7&8), pages 969-985.
    12. Bhushan, Ravi, 1989. "Firm characteristics and analyst following," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 255-274, July.
    13. Boatsman, Jr & Behn, Bk & Patz, Dh, 1993. "A Test Of The Use Of Geographical Segment Disclosures," Journal of Accounting Research, Wiley Blackwell, vol. 31, pages 46-64.
    14. Balakrishnan, R & Harris, Ts & Sen, Pk, 1990. "The Predictive Ability Of Geographic Segment Disclosures," Journal of Accounting Research, Wiley Blackwell, vol. 28(2), pages 305-325.
    15. Simon Hussain, 2000. "Simultaneous determination of UK analyst following and institutional ownership," Accounting and Business Research, Taylor & Francis Journals, vol. 30(2), pages 111-124.
    16. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    17. Hopwood, Ws & Newbold, P & Silhan, Pa, 1982. "The Potential For Gains In Predictive Ability Through Disaggregation - Segmented Annual Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 20(2), pages 724-732.
    18. Richard Barker, 2000. "FRS3 and analysts' use of earnings," Accounting and Business Research, Taylor & Francis Journals, vol. 30(2), pages 95-109.
    19. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    20. Gerald J. Lobo & Sung S. Kwon & Gordian A. Ndubizu, 1998. "The Impact of SFAS No. 14 Segment Information on Price Variability and Earnings Forecast Accuracy," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(7‐8), pages 969-985, September.
    21. Chung, Kee H. & Jo, Hoje, 1996. "The Impact of Security Analysts' Monitoring and Marketing Functions on the Market Value of Firms," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(4), pages 493-512, December.
    22. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    23. Fried, Dov & Givoly, Dan, 1982. "Financial analysts' forecasts of earnings : A better surrogate for market expectations," Journal of Accounting and Economics, Elsevier, vol. 4(2), pages 85-107, October.
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    5. 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.
    6. 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.
    7. Aboud, Ahmed & Roberts, Clare, 2018. "Managers’ segment disclosure choices under IFRS 8: EU evidence," Accounting forum, Elsevier, vol. 42(4), pages 293-308.
    8. 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).
    9. 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.

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