Serviços Personalizados
Journal
Artigo
Indicadores
- Citado por SciELO
- Acessos
Links relacionados
- Similares em SciELO
Compartilhar
Investigação Operacional
versão impressa ISSN 0874-5161
Inv. Op. v.23 n.2 Lisboa dez. 2003
Análise comparativa dos modelos de selecção de carteiras de acções de Markowitz e Konno
Joaquim João Júdice §
Celma O. Ribeiro
Jorge P. J. Santos
§ Departamento de Matemática - Universidade de Coimbra
Departamento de Engenharia de Produção - Escola Politécnica da Universidade de S. Paulo, Brasil
Departamento de Matemática - Escola Superior de Tecnologia de Viseu - IPV
Title: A comparative analysis of the Markowitz and Konno portfolio selection models
Abstract
In this paper Konno portfolio selection model is presented and compared with Markowitz classical model. The computational effort for finding an optimal portfolio by both models is investigated and the quality of the corresponding portfolios is analyzed. The use of these two models in real-life capital markets is finally discussed.
Keywords: Portfolio Selection Models, Risk Analysis, Linear Programming, Quadratic Programming
Resumo
Neste artigo é discutido um modelo desenvolvido por Konno para a selecção de carteiras de activos financeiros e o seu desempenho é comparado com o do modelo clássico de Markowitz. Para além de analisar a velocidade de obtenção de respostas, procura-se avaliar qualitativamente as soluções obtidas e discute-se a efectiva aplicação dos modelos dentro das práticas comuns ao mercado de capitais.
Texto completo disponível apenas em PDF.
Full text only available in PDF format.
Referências [ Links ]
2. E. Dimson, M. Mussavian, Three Centuries of Asset Pricing, Journal of Banking and Finance 23 (1999) 1745-1769. [ Links ]
3. E. J. Elton, M. J. Gruber, Modern Portfolio Theory and Investment Analysis, John Wiley and Sons, New York, 1995. [ Links ]
4. C. D. Feinstein, M. N. Thapa, A Reformulation of a Mean-Absolute Deviation Portfolio Optimization Model, Management Science 39 (1993) 1552 - 1553. [ Links ]
5. R. A. Johnson, Dean W. Wichern, Applied Multivariete Statistical Analysis, Prentice Hall, New Jersey, 1998. [ Links ]
6. P. Jorion, Value at Risk: The New Benchmark for Managing Financial Risk, McGraw Hill, New York, 2000. [ Links ]
7. H. Konno, H. Yamazaki, Mean-Absolute Deviation Portfolio Optimization Model and its Applications to Tokyo Stock Market, Management Science 37 (1991) 519 - 531. [ Links ]
8. H. Konno, K. Kobayashi, An Integrated Stock-Bond Portfolio Optimization Model, Journal of Economic Dynamics and Control, 21 (1997) 1427-1444. [ Links ]
9. N. Larsen, H. Mausser, S. Uryasev, Algorithms for Optimization of Value-at-Risk. Research Report 2001-9, ISE Dept., University of Florida, 2001. [ Links ]
10. H. Markowitz, Portfolio Selection: Efficient Diversification of Investments, John Wiley and Sons, New York, 1959. [ Links ]
11. K. Murty, Linear Programming, John Wiley and Sons, New York, 1983. [ Links ]
12. R. T. Rockafellar, S. Uryasev, Optimization of Conditional Value-At-Risk, Journal of Risk, 2 (2000) 21-41. [ Links ]
13. H. Salkin e K. Mathur, Foundations of Integer Programming, North Holland, 1989. [ Links ]
14. W. Sharpe, Portfolio Theory and Capital Markets, McGraw Hill, New York, 1970. [ Links ]
15. M.C. Steinbach, Markowitz Revisited: Mean-Variance Models in Financial Portfolio Analysis, SIAM Review, 43 (2001) 31-85. [ Links ]
16. L. Tibiletti, Incremental VaR and Var with Background Risk: Traps and Misinterpretations, Proceedings of the 27th Seminar of the European Group of Risk and Insurance Economists, Rome, Italy, 2000, pag. 18-20. [ Links ]
17. S. J. Wright, Primal-Dual Interior Point Methods, SIAM, Philadelphia, 1997. [ Links ]
18. Manual do Utilizador do CPLEX, CPLEX Optimization Inc, 1995. [ Links ]
19. RiskMetrics - Technical Document, 4-th Edition, J. P. Morgan, 1996. [ Links ]