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Search Based Peer Firms: Aggregating Investor Perceptions through Internet Co-searches

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  • Lee, Charles M. C.

    (Stanford University)

  • Ma, Paul
  • Wang, Charles C. Y.

Abstract

Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR website, we develop a novel method for identifying economically-related peer firms. Our results show that firms appearing in chronologically adjacent searches by the same individual (Search Based Peers or SBPs) are fundamentally similar on multiple dimensions. In direct tests, SBPs dominate GICS6 industry peers in explaining cross-sectional variations in base firms' out-of-sample: (a) stock returns, (b) valuation multiples, (c) growth rates, (d) R&D expenditures, (e) leverage, and (f) profitability ratios. We show that SBPs are not constrained by standard industry classification, and are more dynamic, pliable, and concentrated. Our results highlight the potential of the collective wisdom of investors--extracted from co-search patterns--in addressing long-standing benchmarking problems in finance.

Suggested Citation

  • Lee, Charles M. C. & Ma, Paul & Wang, Charles C. Y., 2014. "Search Based Peer Firms: Aggregating Investor Perceptions through Internet Co-searches," Research Papers 3062, Stanford University, Graduate School of Business.
    • Handle: RePEc:ecl:stabus:3062
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    References listed on IDEAS

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    1. Sundaresh Ramnath, 2002. "Investor and Analyst Reactions to Earnings Announcements of Related Firms: An Empirical Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 40(5), pages 1351-1376, December.
    2. Paul Resnick & Neophytos Iacovou & Mitesh Suchak & Peter Bergstrom & John Riedl, 1994. "GroupLens: An Open Architecture for Collaborative Filtering of Netnews," Working Paper Series 165, MIT Center for Coordination Science.
    3. 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.
    4. Kathleen M. Kahle & Ralph A. Walkling, "undated". "The Impact of Industry Classifications on Financial Research," Research in Financial Economics 9607, Ohio State University.
    5. Xavier Gabaix & Rustam Ibragimov, 2011. "Rank - 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 24-39, January.
    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. Albuquerque, Ana, 2009. "Peer firms in relative performance evaluation," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 69-89, October.
    8. Gerard Hoberg & Gordon Phillips, 2010. "Product Market Synergies and Competition in Mergers and Acquisitions: A Text-Based Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 23(10), pages 3773-3811, October.
    9. 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.
    10. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    11. Stijn Van Nieuwerburgh & Laura Veldkamp, 2010. "Information Acquisition and Under-Diversification," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 779-805.
    12. Cohen, Lauren & Lou, Dong, 2012. "Complicated firms," Journal of Financial Economics, Elsevier, vol. 104(2), pages 383-400.
    13. Gabaix, Xavier & Ibragimov, Rustam, 2011. "Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 24-39.
    14. 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.
    15. 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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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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