Critérios de formação de carteiras de ativos através de hierarchical clusters
[Criteria of portfolio formation of stocks through hierarchical clusters]
AbstractThis paper has as main objective to present and to test a tool of multivariate statistics in financial models. This methodology, known as clusters analysis, separates the observations in groups through its determined characteristic, in contrast of the traditional methodology, which is only the order through quantiles. This tool was applied in 213 shares negotiated in the São Paulo Stock Exchange (Bovespa), separating to the groups for size and book-to-market. Later, the new portfolios were applied in the Fama and French Model (1996), comparing the results in a portfolio formation for quintiles and for cluster analysis. Better results were found in the second methodology. The authors conclude that the cluster analysis can be more adequate, because tends to form more homogeneous groups, being useful its application for portfolio formation, and for financial theory.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 38105.
Date of creation: 20 Feb 2008
Date of revision:
Publication status: Published in Revista de Administração Mackenzie 2.11(2009): pp. 123-141
Quantiles; Cluster analysis; Data Mining; Anomalies; Fama and French model;
Find related papers by JEL classification:
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
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