IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/3373.html
   My bibliography  Save this paper

The Search for Benchmarks: When Do Crowds Provide Wisdom?

Author

Listed:
  • Lee, Charles M. C.

    (Stanford University)

  • Ma, Paul

    (University of MN)

  • Wang, Charles C. Y.

    (Harvard University)

Abstract

This study evaluates four broad categories of peer identification schemes used for economic benchmarking. Our results show the peer firms identified from aggregation of informed agents' revealed choices in Lee, Ma, and Wang (2014) perform best, followed by peers with the highest overlap in analyst coverage. These two approaches are superior to standard industry-based 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. Conversely, peers firms identified by Google and Yahoo Finance, as well as product market competitors gleaned from 10-K disclosures, turned in consistently worse performances. We contextualize these results in a stylized model that predicts when information aggregation across heterogeneously informed individuals is likely to lead to improvements in dealing with the problem of economic benchmarking.

Suggested Citation

  • Lee, Charles M. C. & Ma, Paul & Wang, Charles C. Y., 2015. "The Search for Benchmarks: When Do Crowds Provide Wisdom?," Research Papers 3373, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:3373
    as

    Download full text from publisher

    File URL: http://www.gsb.stanford.edu/gsb-cmis/gsb-cmis-download-auth/407271
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aobdia, Daniel & Cheng, Lin, 2018. "Unionization, product market competition, and strategic disclosure," Journal of Accounting and Economics, Elsevier, vol. 65(2), pages 331-357.
    2. Gao, Ning & Hua, Chen & Khurshed, Arif, 2021. "Loan price in mergers and acquisitions," Journal of Corporate Finance, Elsevier, vol. 67(C).

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecl:stabus:3373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/gsstaus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.