论文信息 - VISUALIZING AND CLUSTERING FINANCIAL PORTFOLIOS USING INTERNAL COMPOSITIONS

VISUALIZING AND CLUSTERING FINANCIAL PORTFOLIOS USING INTERNAL COMPOSITIONS

A method to cluster financial portfolio according to their internal composition is introduced. Portfolio internal compositions are estimated through a style analysis model. Starting from such compositions, we cluster portfolios exploiting archetypal data analysis. Visualization tools are based on parallel coordinate plots and on asymmetric maps. The proposed procedure is based both on static and dynamic visualization tools. Final aim of such a procedure should be to compare and classify portfolios according to their similarities and to compare the evolution of the portfolio management along time.

Claudio Conversano | Domenico Vistocco | D. Vistocco | C. Conversano

[1] M. C. Jones,et al. The Statistical Analysis of Compositional Data , 1986 .

[2] J. Aitchison,et al. Biplots of Compositional Data , 2002 .

[3] J. Aitchison. Principal component analysis of compositional data , 1983 .

[4] W. Sharpe. Asset allocation , 1992 .

[5] Adele Cutler,et al. Moving archetypes , 1997 .

[6] Claudio Conversano,et al. Model Based Visualization of Portfolio Style Analysis , 2004 .

[7] Giancarlo Ragozini,et al. On the use of archetypes as benchmarks , 2008 .

[8] M. Greenacre. Correspondence Analysis in Practice, Second Edition , 2007 .

[9] T. Nijman,et al. Evaluating Style Analysis , 2000 .

[10] M. Greenacre. Correspondence analysis in practice , 1993 .