PREDICTING CORPORATE MERGERS AND ACQUISITIONS: THE CASE OF TURKEY

dc.contributor.authorAysa Ipek Erdogan
dc.date.accessioned2025-04-16T06:02:49Z
dc.date.issued2012
dc.description.abstractThis study examines the financial variables that predict the merger and acquisition targets in Turkey. Cox regression with segmented time-dependent covariates is used to determine the factors that predict target companies for mergers and acquisitions. The firms that are analyzed are among the top 500 industrial enterprises in Turkey. We find that a lower pretax profit margin is associated with an increased chance of being a merger or an acquisition target. In addition, the lower the debt ratio, the more likely that the firm will be a target for a merger or an acquisition.
dc.identifier.issn1313-8758
dc.identifier.urihttp://research.bfu.bg:4000/handle/123456789/1967
dc.language.isoen
dc.publisherБургаски свободен университет
dc.relation.ispartofseries2012
dc.subjectMergers and acquisitions
dc.subjecttargets
dc.subjectCox regression
dc.subjectCox proportional hazards model
dc.subjectTurkey
dc.titlePREDICTING CORPORATE MERGERS AND ACQUISITIONS: THE CASE OF TURKEY
dc.typeArticle

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