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Large Blocks of Stock: Prevalence, Size, and Measurement Author info | Abstract | Publisher info | Download info | Related research | Statistics Jennifer Dlugosz
Rudiger Fahlenbrach
Paul Gompers
Andrew Metrick
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Large blocks of stock play an important role in many studies of corporate governance and finance. Despite this important role, there is no standardized data set for these blocks, and the best available data source, Compact Disclosure, has many mistakes and biases. In this paper, we document these mistakes and show how to fix them. The mistakes and bias tend to increase with the level of reported blockholdings: in firms where Compact Disclosure reports that aggregate blockholdings are greater than 50 percent, these aggregate holdings are incorrect more than half the time and average holdings for these incorrect firms are overstated by almost 30 percentage points. We also demonstrate that our fixes are economically and statistically significant in an analysis of the relationship between firm value and outside blockholders.
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Date of creation: Aug 2004Date of revision:
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Article Dlugosz, Jennifer & Fahlenbrach, Rudiger & Gompers, Paul & Metrick, Andrew, 2006.
"Large blocks of stock: Prevalence, size, and measurement ,"
Journal of Corporate Finance ,
Elsevier, vol. 12(3), pages 594-618, June.
[Downloadable!] (restricted) Paper Dlugos, Jennifer & Fahlenbrach, Rudiger & Gompers, Paul & Metrick, Andrew, 2005.
"Large Blocks of Stock: Prevalence, Size, and Measurement ,"
Working Paper Series
2005-9, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
[Downloadable!] Find related papers by JEL classification: G3 - Financial Economics - - Corporate Finance and Governance
This paper has been announced in the following NEP Reports :
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Financial Management ,
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Ulf von Lilienfeld-Toal & Stefan Ruenzi, 2007.
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