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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39332

Title: A clustering method to identify representative financial ratios
Authors: Yu-Jie Wang;Hsuan-Shih Lee
Contributors: 國立臺灣海洋大學:航運管理學系
Keywords: Clustering;Financial ratios;Fuzzy relation;Representative indicator
Date: 2008-02-15
Issue Date: 2016-12-02T08:18:00Z
Publisher: Information Science
Abstract: Abstract:When companies evaluate their performance, it is impractical to take all of their financial ratios into consideration. To evaluate the financial performance of a company, only a fraction of the available financial ratios are considered and selected as evaluation criteria. In general, financial ratios presented as sequences (or called financial ratio sequences), are first clustered and then a representative indicator is chosen from each cluster to serve as an evaluation criterion. To cluster financial ratios, we propose a clustering method in which the financial ratios of different companies with similar variations are partitioned into the same cluster. In other words, a fuzzy relation is proposed to represent the similarity between the financial ratios, and a cluster validation index is also provided to determine the number of clusters. Once the financial ratios are clustered, the representative indicator for each cluster will be identified.
Relation: 178(4), pp.1087-1097.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39332
Appears in Collections:[航運管理學系] 期刊論文

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