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  • All HBS Web  (67)
    • Faculty Publications  (4)

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    • All HBS Web  (67)
      • Faculty Publications  (4)

      EDGAR Search TrafficRemove EDGAR Search Traffic →

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      • October 2020
      • Article

      IQ from IP: Simplifying Search in Portfolio Choice

      By: Huaizhi Chen, Lauren Cohen, Umit Gurun, Dong Lou and Christopher J. Malloy
      Using a novel database that tracks web traffic on the SEC’s EDGAR servers between 2004 and 2015, we show that mutual fund managers gather information on a very particular subset of firms and insiders, and their surveillance is very persistent over time. This tracking... View Details
      Keywords: Tracked Trades; Return Predictability; Institutional Trading; Insider Trading; Institutional Investing; Information; Investment Portfolio; Decisions; Management
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      Chen, Huaizhi, Lauren Cohen, Umit Gurun, Dong Lou, and Christopher J. Malloy. "IQ from IP: Simplifying Search in Portfolio Choice." Journal of Financial Economics 138, no. 1 (October 2020): 118–137. (Winner of the First Prize, Crowell Memorial Award for Best Paper in Quantitative Investments, PanAgora Asset Management, 2019.)
      • Article

      Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

      By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
      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 and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
      Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Perception; Internet and the Web; Investment
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      Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Journal of Financial Economics 116, no. 2 (May 2015): 410–431.
      • 2016
      • Working Paper

      The Search for Peer Firms: When Do Crowds Provide Wisdom?

      By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
      In knowledge-based economies, many business enterprises defy traditional industry boundaries. In this study, we evaluate six "big data" approaches to peer firm identifications and show that some, but not all, "wisdom-of-crowd" techniques perform exceptionally well. We... View Details
      Keywords: Peer Firm; EDGAR Co-search; Analyst Co-coverage; Wisdom Of Crowds; Performance Benchmarking; Crowd Of Crowds; Internet and the Web; Accounting
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      Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "The Search for Peer Firms: When Do Crowds Provide Wisdom?" Harvard Business School Working Paper, No. 15-032, October 2014. (Revised November 2016.)
      • 2014
      • Working Paper

      Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

      By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
      Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
      Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
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      Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
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