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Characterizing compromise solutions for investors with uncertain risk preferences

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Characterizing compromise solutions for investors with uncertain risk preferences

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Salas-Molina, F.; Rodriguez-Aguilar, JA.; Pla Santamaría, D. (2019). Characterizing compromise solutions for investors with uncertain risk preferences. Operational Research. 19(3):661-677. https://doi.org/10.1007/s12351-017-0309-6

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/152254

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Título: Characterizing compromise solutions for investors with uncertain risk preferences
Autor: Salas-Molina, Francisco Rodriguez-Aguilar, Juan A. Pla Santamaría, David
Entidad UPV: Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials
Fecha difusión:
Resumen:
[EN] The optimum portfolio selection for an investor with particular preferences was proven to lie on the normalized efficient frontier between two bounds defined by the Ballestero (1998) bounding theorem. A deeper ...[+]
Palabras clave: Finance , Portfolio selection , Compromise programming , Discrete efficient-frontiers , Performance prediction
Derechos de uso: Reserva de todos los derechos
Fuente:
Operational Research. (issn: 1109-2858 )
DOI: 10.1007/s12351-017-0309-6
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s12351-017-0309-6
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TIN2015-66863-C2-1-R/ES/COLLECTIVEWARE: TECNOLOGIAS PARA POTENCIAR COLECTIVOS HUMANOS EN LA RED ELECTRICA INTELIGENTE/
info:eu-repo/grantAgreement/Generalitat de Catalunya//2014 SGR 118/
Agradecimientos:
Work partially funded by projects Collectiveware TIN2015-66863-C2-1-R (MINECO/FEDER) and 2014 SGR 118
Tipo: Artículo

References

Amiri M, Ekhtiari M, Yazdani M (2011) Nadir compromise programming: a model for optimization of multi-objective portfolio problem. Expert Syst Appl 38(6):7222–7226

Ballestero E (1998) Approximating the optimum portfolio for an investor with particular preferences. J Oper Res Soc 49:998–1000

Ballestero E (2007) Compromise programming: a utility-based linear-quadratic composite metric from the trade-off between achievement and balanced (non-corner) solutions. Eur J Oper Res 182(3):1369–1382 [+]
Amiri M, Ekhtiari M, Yazdani M (2011) Nadir compromise programming: a model for optimization of multi-objective portfolio problem. Expert Syst Appl 38(6):7222–7226

Ballestero E (1998) Approximating the optimum portfolio for an investor with particular preferences. J Oper Res Soc 49:998–1000

Ballestero E (2007) Compromise programming: a utility-based linear-quadratic composite metric from the trade-off between achievement and balanced (non-corner) solutions. Eur J Oper Res 182(3):1369–1382

Ballestero E, Pla-Santamaria D (2004) Selecting portfolios for mutual funds. Omega 32(5):385–394

Ballestero E, Pla-Santamaria D, Garcia-Bernabeu A, Hilario A (2015) Portfolio selection by compromise programming. In: Ballestero E, Pérez-Gladish B, Garcia-Bernabeu A (eds) Socially responsible investment. A multi-criteria decision making approach, vol 219. Springer, Switzerland, pp 177–196

Ballestero E, Romero C (1996) Portfolio selection: a compromise programming solution. J Oper Res Soc 47(11):1377–1386

Ballestero E, Romero C (1998) Multiple criteria decision making and its applications to economic problems. Kluwer Academic Publishers, Berlin

Bilbao-Terol A, Pérez-Gladish B, Arenas-Parra M, Rodríguez-Uría MV (2006) Fuzzy compromise programming for portfolio selection. Appl Math Comput 173(1):251–264

Bravo M, Ballestero E, Pla-Santamaria D (2012) Evaluating fund performance by compromise programming with linear-quadratic composite metric: an actual case on the caixabank in spain. J Multi-Criteria Decis Anal 19(5–6):247–255

Ehrgott M, Klamroth K, Schwehm C (2004) An MCDM approach to portfolio optimization. Eur J Oper Res 155(3):752–770

Fawcett T (2006) An introduction to ROC analysis. Pattern Recognit Lett 27(8):861–874

Hernández-Orallo J, Flach P, Ferri C (2013) ROC curves in cost space. Mach Learn 93(1):71–91

Markowitz H (1952) Portfolio selection. J Finance 7(1):77–91

Pla-Santamaria D, Bravo M (2013) Portfolio optimization based on downside risk: a mean-semivariance efficient frontier from dow jones blue chips. Ann Oper Res 205(1):189–201

Ringuest JL (1992) Multiobjective optimization: behavioral and computational considerations. Springer Science & Business Media, Berlin

Steuer RE, Qi Y, Hirschberger M (2007) Suitable-portfolio investors, nondominated frontier sensitivity, and the effect of multiple objectives on standard portfolio selection. Ann Oper Res 152(1):297–317

Xidonas P, Mavrotas G, Krintas T, Psarras J, Zopounidis C (2012) Multicriteria portfolio management. Springer, Berlin

Yu P-L (1973) A class of solutions for group decision problems. Manag Sci 19(8):936–946

Yu P-L (1985) Multiple criteria decision making: concepts, techniques and extensions. Plenum Press, Berlin

Zeleny M (1982) Multiple criteria decision making. McGraw-Hill, New York

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