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What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research

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  • Sanjeev Bhojraj
  • Charles M. C. Lee
  • Derek K. Oler

Abstract

This study compares four broadly available industry classification schemes in a variety of applications common to capital market research. Standard Industrial Classification (SIC) codes have been available since 1939 but are being replaced by North American Industry Classification System (NAICS) codes. The Global Industry Classifications Standard (GICS)SM system, jointly developed by Standard & Poor's and Morgan Stanley Capital International (MSCI), is popular among financial practitioners, whereas the Fama and French [1997] algorithm is used primarily by academics. Our results show that GICS classifications are significantly better at explaining stock return comovements, as well as cross‐sectional variations in valuation multiples, forecasted and realized growth rates, research and development expenditures, and various key financial ratios. The GICS advantage is consistent from year to year and is most pronounced among large firms. The other three methods differ little from each other in most applications.

Suggested Citation

  • Sanjeev Bhojraj & Charles M. C. Lee & Derek K. Oler, 2003. "What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 745-774, December.
    • Handle: RePEc:bla:joares:v:41:y:2003:i:5:p:745-774
    DOI: 10.1046/j.1475-679X.2003.00122.x
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    References listed on IDEAS

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    1. Kahle, Kathleen M. & Walkling, Ralph A., 1996. "The Impact of Industry Classifications on Financial Research," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(3), pages 309-335, September.
    2. Frankel, Richard & Lee, Charles M. C., 1998. "Accounting valuation, market expectation, and cross-sectional stock returns," Journal of Accounting and Economics, Elsevier, vol. 25(3), pages 283-319, June.
    3. Kathleen M. Kahle & Ralph A. Walkling, "undated". "The Impact of Industry Classifications on Financial Research," Research in Financial Economics 9607, Ohio State University.
    4. Alford, Aw, 1992. "The Effect Of The Set Of Comparable Firms On The Accuracy Of The Price Earnings Valuation Method," Journal of Accounting Research, Wiley Blackwell, vol. 30(1), pages 94-108.
    5. Paul Hribar & Daniel W. Collins, 2002. "Errors in Estimating Accruals: Implications for Empirical Research," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 105-134, March.
    6. Guenther, David A. & Rosman, Andrew J., 1994. "Differences between COMPUSTAT and CRSP SIC codes and related effects on research," Journal of Accounting and Economics, Elsevier, vol. 18(1), pages 115-128, July.
    7. Subramanyam, K. R., 1996. "The pricing of discretionary accruals," Journal of Accounting and Economics, Elsevier, vol. 22(1-3), pages 249-281, October.
    8. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    9. Clarke, Richard N, 1989. "SICs as Delineators of Economic Markets," The Journal of Business, University of Chicago Press, vol. 62(1), pages 17-31, January.
    10. Sanjeev Bhojraj & Charles M. C. Lee, 2002. "Who Is My Peer? A Valuation‐Based Approach to the Selection of Comparable Firms," Journal of Accounting Research, Wiley Blackwell, vol. 40(2), pages 407-439, May.
    11. Jing Liu & Doron Nissim & Jacob Thomas, 2002. "Equity Valuation Using Multiples," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 135-172, March.
    12. James Claus & Jacob Thomas, 2001. "Equity Premia as Low as Three Percent? Evidence from Analysts' Earnings Forecasts for Domestic and International Stock Markets," Journal of Finance, American Finance Association, vol. 56(5), pages 1629-1666, October.
    13. Fan, Joseph P H & Lang, Larry H P, 2000. "The Measurement of Relatedness: An Application to Corporate Diversification," The Journal of Business, University of Chicago Press, vol. 73(4), pages 629-660, October.
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