Financial Profile of Leveraged Buyout Targets: Some French Evidence
Anne-Laure Le Nadant and
Frédéric Perdreau ()
Additional contact information
Frédéric Perdreau: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique, COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne
Post-Print from HAL
Abstract:
This paper investigates whether firms, which are taken over on the French market through Leveraged Buyouts (LBOs), possess characteristics prior to the change which differentiate them from firms which are not acquired through LBOs. Contrasting 175 LBO targets on the French market with an industry-matched comparison group, we first run univariate analysis and then multivariate analysis (logit regression). Beyond the underscoring of the LBO targets' financial features, we conclude that subdividing our sample according to the vendor and bidder type is beneficial. We thus notice that the so-called outperformance of LBO targets prior to the deal hides in fact different cases.
Keywords: LBO; motives; financial characteristics; performance (search for similar items in EconPapers)
Date: 2006
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00522624v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Published in Review of Accounting and Finance, 2006, 5 (4), pp.370-392
Downloads: (external link)
https://shs.hal.science/halshs-00522624v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00522624
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().