| Título: | HOW TO GROUP FINANCIAL DATA WITH MAXIMUM HOMOGENEITY? |
| Autores: |
Baran, Mehmet Sönmezer, Sıtkı |
| Fecha: | 2013-02-07 |
| Publicador: | EMAJ: Emerging markets journal |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article Peer-reviewed Article info:eu-repo/semantics/publishedVersion |
| Tema: | No aplica |
| Descripción: | Grouping may be an obstacle itself or it may have to be improved to extract better information out of a data stream. Finding trends and dividing a population into parts may be crucial for analyses. This paper offers a modified version of Fisher method that may smoothen the cut point transitions and give out better results. Proven methodology is given with a comparison with the original method. The method may be helpful in forming subgroups in financial data, possibly in technical analyses.Keywords: Grouping, Fisher Method, Trends, Cut points |
| Idioma: | Inglés |