Since 2014
HOW TO GROUP FINANCIAL DATA WITH MAXIMUM HOMOGENEITY?
Emerging Markets Journal
View Archive Info| Field | Value | |
| Title |
HOW TO GROUP FINANCIAL DATA WITH MAXIMUM HOMOGENEITY?
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| Creator |
Baran, Mehmet
Sönmezer, Sıtkı |
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| Subject |
—
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| Description |
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
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| Publisher |
University Library System, University of Pittsburgh
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| Contributor |
—
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| Date |
2013-02-07
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://emaj.pitt.edu/ojs/index.php/emaj/article/view/36
10.5195/emaj.2013.36 |
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| Source |
EMAJ: Emerging Markets Journal; Vol 3, No 1 (2013); 13-19
2158-8708 2159-242X |
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| Language |
eng
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| Relation |
http://emaj.pitt.edu/ojs/index.php/emaj/article/view/36/141
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