ENHANCEMENT OF ASSESSMENT OF THE INTANGIBLE ASSETS OF THE COMPANIES BY MEANS OF SUBTLE SETS
Andrei Diamandescu () and
Ion Ioniță ()
Additional contact information
Andrei Diamandescu: ”Nicolae Titulescu” University, Bucharest, Romania,
Ion Ioniță: Bucharest University of Economic Studies, Bucharest, Romania
CBU International Conference Proceedings, 2017, vol. 5, issue 0, 106-113
Abstract:
The reason for approaching this topic in our article starts from the fact that the value of goodwill (GW), which is an indicator that expresses the intangible value of the company, that is a factor with essential contribution to the company’s market value, is determined through a method which we consider to be imprecise – respectively as difference between the price of sale of the asset and the value estimated by the evaluator. Or, the result obtained by this method is not accurate, and it does not answer the knowledge and information needs of the manager. In this article, we refer to the fact that managers also want to know, besides the GW, the factors that contributed to its achievement and factors that contributed to its achievement and in what percentage. The need appears more important in cases of the sale of companies when both the buyer and the seller are interested in establishing a fair price, based on the market value of the company in question. Starting from this practical requirement, the authors plan to elaborate econometric models based fuzzy set, by which they would determine the right level of the goodwill and to provide information in connection with the generating factors
Keywords: goodwillfuzzy sets theory; subtle sets theory; movable assets; tangible assets (search for similar items in EconPapers)
JEL-codes: G32 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ojs.journals.cz/index.php/CBUIC/article/view/910/1508 (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:aad:iseicj:v:5:y:2017:i:0:p:106-113
DOI: 10.12955/cbup.v5.910
Access Statistics for this article
More articles in CBU International Conference Proceedings from ISE Research Institute
Bibliographic data for series maintained by Petr Hájek ().