Benchmarking historical corporate performance

James G. Scott

Computational Statistics & Data Analysis, 2012, vol. 56, issue 6, 1795-1807

Abstract: This paper uses Bayesian tree models for statistical benchmarking in data sets with awkward marginals and complicated dependence structures. The method is applied to a very large database on corporate performance over the last four decades. The results of this study provide a formal basis for making cross-peer-group comparisons among companies in very different industries and operating environments. This is done by using models for Bayesian multiple hypothesis testing to determine which firms, if any, have systematically out-performed their peer groups over time. We conclude that systematic out-performance, while it seems to exist, is quite rare worldwide.

Keywords: Bayesian multiple testing; Tree models; Benchmarking; Corporate success stories; Tree models (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:56:y:2012:i:6:p:1795-1807

DOI: 10.1016/j.csda.2011.11.004

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