Segmentation of Firms by Means of Classification Trees

Mirosława Lasek and Marek Pęczkowski

Ekonomia journal, 2002, vol. 7

Abstract: The objective of the paper was to present the utility and applicability of the method of generating classification trees for the purposes of segmentation of firms by their economic standing, i.e. their financial and assets condition. The method of classification tree generation belongs to the group of the ihdata mininglt methods that permit to find out, basing on large data sets, the relationships and links among data. Variables used to classify the firms were financial and assets indices, indices of the firms' position in the capital market, as well as values from financial statements (balance sheet, profit and loss account, cash flow account). Different algorithms were used to generate the classification trees: Chaid, Exhaustion Chaid, C&RT, Quest. In the paper, examples were presented of applying the classification trees to segmentation of firms. Advantages and drawbacks of performing the segmentation of firms by means of the classification trees were discussed.

Date: 2002
References: Add references at CitEc
Citations:

Downloads: (external link)
http://ekonomia.wne.uw.edu.pl/ekonomia/getFile/475 (application/pdf)
no

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:eko:ekoeko:7_70

Access Statistics for this article

More articles in Ekonomia journal from Faculty of Economic Sciences, University of Warsaw Contact information at EDIRC.
Bibliographic data for series maintained by ().