Title of article :
A clustering method to identify representative financial ratios
Author/Authors :
Yu-Jie Wang، نويسنده , , Hsuan-Shih Lee، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
11
From page :
1087
To page :
1097
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.
Keywords :
Clustering , financial ratios , Fuzzy relation , Representative indicator
Journal title :
Information Sciences
Serial Year :
2008
Journal title :
Information Sciences
Record number :
1213231
Link To Document :
بازگشت