The Search for Benchmarks: When Do Crowds Provide Wisdom?
We compare the performance of a comprehensive set of alternative peer identification schemes. 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...
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Published in | IDEAS Working Paper Series from RePEc |
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Main Authors | , , |
Format | Paper |
Language | English |
Published |
St. Louis
Federal Reserve Bank of St. Louis
01.01.2014
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Subjects | |
Online Access | Get full text |
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Summary: | We compare the performance of a comprehensive set of alternative peer identification schemes. 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. 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 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. |
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