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Large Blocks of Stock: Prevalence, Size, and Measurement Author info | Abstract | Publisher info | Download info | Related research | Statistics Dlugos, Jennifer (Harvard U)
Fahlenbrach, Rudiger (Ohio State U)
Gompers, Paul (Harvard U)
Metrick, Andrew (U of Pennsylvania)
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registered author(s):
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 biases 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. For researchers using uncorrected blockholder data as a dependent variable, these errors will increase the standard error of coefficient estimates but do not appear to cause bias. However, we find that if blockholders are used as an independent variable, economically significant errors- in-variables biases can occur. We demonstrate these biases using a representative analysis of the relationship between firm value and outside blockholders. An online appendix to our paper provides a “clean” data set for our sample firms and time period. For researchers who need to work outside of this sample, we also test the efficacy of alternative (cheaper) fixes to this data problem, and find that truncating or winsorizing the sample can reduce about half of the bias in our representative application.
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Paper provided by Ohio State University, Charles A. Dice Center for Research in Financial Economics in its series Working Paper Series with number
2005-9.
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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.
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Journal of Financial Economics ,
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Other versions:
Charles P. Himmelberg & R. Glenn Hubbard & Darius Palia, 2000.
"Understanding the Determinants of Managerial Ownership and the Link Between Ownership and Performance ,"
NBER Working Papers
7209, National Bureau of Economic Research, Inc.
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"Understanding the Determinants of Mangerial Ownership and the Link Between Ownership and Performance ,"
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Shivdasani, Anil, 1993.
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James S. Ang & Rebel A. Cole & James Wuh Lin, 2000.
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Ronald C. Anderson & Thomas W. Bates & John M. Bizjak & Michael L. Lemmon, 2000.
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Anderson, Ronald C. & Lee, D. Scott, 1997.
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Palia, Darius, 2001.
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Paul Gompers & Joy Ishii & Andrew Metrick, 2003.
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