2014
DOI: 10.2139/ssrn.2535017
|View full text |Cite
|
Sign up to set email alerts
|

Manufactured Diversification Discount

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
15
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 13 publications
(16 citation statements)
references
References 75 publications
1
15
0
Order By: Relevance
“…In the unmatched sample, conglomerates are ten years older on average than focused firms (the mean age of conglomerates in Compustat is 25.6 years). Thus, the existence of the conglomerate discount might be due to sample selection bias (e.g., Villalonga (2004b), Custódio (2014), and Hund et al (2016)). Matching a conglomerate to the imputed pseudo-conglomerate based on SIC industry code-matching does not take into account differences in characteristics that can dramatically affect statistical inference, such as profitability and sales.…”
Section: Propensity Score Matchingmentioning
confidence: 99%
See 4 more Smart Citations
“…In the unmatched sample, conglomerates are ten years older on average than focused firms (the mean age of conglomerates in Compustat is 25.6 years). Thus, the existence of the conglomerate discount might be due to sample selection bias (e.g., Villalonga (2004b), Custódio (2014), and Hund et al (2016)). Matching a conglomerate to the imputed pseudo-conglomerate based on SIC industry code-matching does not take into account differences in characteristics that can dramatically affect statistical inference, such as profitability and sales.…”
Section: Propensity Score Matchingmentioning
confidence: 99%
“…Existing explanations include the ideas that (i) the diversification is sub-optimal and causes low profitability, (ii) less profitable firms optimally choose to diversify, and (iii) the entire literature is a statistical mirage generated by poor matching of conglomerate and stand-alone firms. For examples of these explanations see Jensen (1986), Rajan et al (2000), Scharfstein and Stein (2000), Maksimovic and Phillips (2002), Campa and Kedia (2002), Villalonga (2004b), Custódio (2014), and Hund et al (2016). See Maksimovic and Phillips (2013) for a comprehensive survey.…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations