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Does Customer Satisfaction lead to Accurate Earnings Forecasts?

Author

Listed:
  • Jean-François Casta

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Olivier J. Ramond

    (DRM-Finance - DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Paul-Valentin Ngobo

    (Valorem - LOG - Laboratoire Orléanais de Gestion (1998-2011) - UO - Université d'Orléans)

Abstract

This paper examines the usefulness of customer satisfaction to analysts when preparing their earnings forecasts. We draw on theory in marketing to predict how customer satisfaction should be associated with earnings forecasts and forecast errors. We assembled a dataset of companies studied in the American Customer Satisfaction Index (University of Michigan), which also appear on the Institutional Brokers Estimate System (I/B/E/S) files. By combining these sources, we were able to analyze the forecast errors of 1,875 analysts following 90 companies yielding 8,034 year-firm-analyst observations. We control for factors known to influence the earnings forecasts, such as firm profitability and risk, as well as potential unobservable factors using a Mixed-effects regression. We find that customer satisfaction has a negative association with the analysts' forecast errors because it allows analysts forecasts to be closer to the business reality. The influence of customer satisfaction varies across sectors. Specifically, we found that in the Information technology sector (i.e. Computer, the Internet Software & Services - e.g. EBay), customer satisfaction has the largest negative impact on earnings forecast errors. In sum, our findings suggest that analysts that neglect customer satisfaction information may deprive themselves of an important proxy of non-financial information, specifically in the information technology sector.

Suggested Citation

  • Jean-François Casta & Olivier J. Ramond & Paul-Valentin Ngobo, 2009. "Does Customer Satisfaction lead to Accurate Earnings Forecasts?," Post-Print halshs-00680002, HAL.
    • Handle: RePEc:hal:journl:halshs-00680002
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00680002
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    References listed on IDEAS

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    1. Atiase, Rk, 1985. "Predisclosure Information, Firm Capitalization, And Security Price Behavior Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 21-36.
    2. Parkash, Mohinder & Dhaliwal, Dan S. & Salatka, William K., 1995. "How certain firm-specific characteristics affect the accuracy and dispersion of analysts' forecasts : A latent variables approach," Journal of Business Research, Elsevier, vol. 34(3), pages 161-169, November.
    3. Ittner, CD & Larcker, DF, 1998. "Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 1-35.
    4. Mikhail, MB & Walther, BR & Willis, RH, 1997. "Do security analysts improve their performance with experience?," Journal of Accounting Research, Wiley Blackwell, vol. 35, pages 131-157.
    5. García-Meca, Emma & Sánchez-Ballesta, Juan Pedro, 2006. "Influences on financial analyst forecast errors: A meta-analysis," International Business Review, Elsevier, vol. 15(1), pages 29-52, February.
    6. Brown, Ld & Richardson, Gd & Schwager, Sj, 1987. "An Information Interpretation Of Financial Analyst Superiority In Forecasting Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 49-67.
    7. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    8. 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.
    9. Easton, George S & Jarrell, Sherry L, 1998. "The Effects of Total Quality Management on Corporate Performance: An Empirical Investigation," The Journal of Business, University of Chicago Press, vol. 71(2), pages 253-307, April.
    10. Aboody, D & Lev, B, 1998. "The value relevance of intangibles: The case of software capitalization," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 161-191.
    11. Orens, Raf & Lybaert, Nadine, 2007. "Does the financial analysts' usage of non-financial information influence the analysts' forecast accuracy? Some evidence from the Belgian sell-side financial analyst," The International Journal of Accounting, Elsevier, vol. 42(3), pages 237-271.
    12. Lynn Hodgkinson, 2001. "Analysts' Forecasts and the Broker Relationship," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 943-961.
    13. Jacob, J, 1997. "Discussion of do security analysts improve their performance with experience?," Journal of Accounting Research, Wiley Blackwell, vol. 35, pages 159-166.
    14. Givoly, Dan & Lakonishok, Josef, 1979. "The information content of financial analysts' forecasts of earnings: Some evidence on semi-strong inefficiency," Journal of Accounting and Economics, Elsevier, vol. 1(3), pages 165-185, December.
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