We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
CRITÉRIOS DE FORMAÇÃO DE CARTEIRAS DE ATIVOS POR MEIO DE HIERARCHICAL CLUSTERS.
- Authors
Lucena, Pierre; Pinto, Antonio Carlos Figueiredo; Lachtermacher, Gerson
- Abstract
This 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.
- Subjects
STOCK management (Finance); CLUSTER analysis (Statistics); PORTFOLIO management (Investments); DATA mining; METHODOLOGY
- Publication
RAM. Mackenzie Management Review / RAM. Revista de Administração Mackenzie, 2010, Vol 11, Issue 2, p123
- ISSN
1518-6776
- Publication type
Article
- DOI
10.1590/S1678-69712010000200006