2015
DOI: 10.1016/j.jfineco.2015.02.003
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Search-based peer firms: Aggregating investor perceptions through internet co-searches

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 and for measuring their relative importance. 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 retur… Show more

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Cited by 240 publications
(110 citation statements)
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“…This approach does not work at all for any firms with fewer than 2 analysts. Lee et al (2015) uses internet co-searches at the SEC's EDGAR website to aggregate investor perception in identifying peer firms. They find that firms appearing in chronologically adjacent searches by the same individual appear to be fundamentally similar in a variety of dimensions.…”
Section: Analyst Co-coveragementioning
confidence: 99%
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“…This approach does not work at all for any firms with fewer than 2 analysts. Lee et al (2015) uses internet co-searches at the SEC's EDGAR website to aggregate investor perception in identifying peer firms. They find that firms appearing in chronologically adjacent searches by the same individual appear to be fundamentally similar in a variety of dimensions.…”
Section: Analyst Co-coveragementioning
confidence: 99%
“…Similar in spirit to explaining out-of-sample variations in monthly returns in Table 3 of Lee et al (2015), I examine the future comovemenet of key market and financial variables between the base firm and its top peer identified under different methodology.…”
Section: Future Comovement Of Key Market and Financial Variablesmentioning
confidence: 99%
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