The search for benchmarks
when do crowds provide wisdom?
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Author
Contributions
- Ma, Paul, author - Contributor
- Wang, Charles C.Y, author - Contributor
- Harvard Business School - Contributor
Publication
2014 - Harvard Business School, Boston], Massachusetts
Language
English
Word Count
0 words, Guess
Page Count
0 pages
Identifiers
- OCLC Control Number895065297
- Open LibraryOL53053852M
Description
"We compare the performance of a comprehensive set of alternative peer identification schemes used in 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, 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 dis-closures, turned in consistently worse performances. We contextualize these results in a simple model that predicts when information aggregation across heterogeneously informed individuals is likely to lead to improvements in dealing with the problem of economic benchmarking."
Subjects
Series Statement
- Working paper / Harvard Business School -- 15-032
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