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CUASI DOMINANCIA ESTOCÁSTICA. APLICACIONES
PSEUDO STOCHASTIC DOMINANCE. APPLICATIONS
Keywords:
dominancia estocástica, media, varianza (es)Mean, Variance, Stochastic dominance (en)
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1Universidad Complutense de Madrid, Facultad de Ciencias Matemáticas, Departamento de Estadística e Investigación Operativa, Madrid, España. Professor. Email: ealmarazluengo@mat.ucm.es
The aim of this work is to show that on certain ocasions classic decision rules used in the context of options (Stochastic Dominance criteria and Mean-Variance rules) do not provide a selection of one specific option over the other, therefore, the need of working with other criteria that can help us in our choice. We place special interest in economic and financial applications.
Key words: Mean, Variance, Stochastic dominance.
El objetivo de este trabajo es mostrar que en ocasiones las reglas clásicas de decisión sobre inversiones (reglas de Dominancia Estocástica y reglas de Media-Varianza) no siempre conducen a una selección de una inversión sobre otra, surgiendo la necesidad de trabajar con otros criterios que ayudan en dicha elección cuando los clásicos no conducen a ninguna selección concreta. Se pone principal interés en las aplicaciones de carácter económico-financiero.
Palabras clave: dominancia estocástica, media, varianza.
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References
1. Almaraz, E. (2009), Cuestiones notables de ordenación estocástica en optimación financiera, Tesis de Doctorado, Universidad Complutense de Madrid, Facultad de Ciencias Matemáticas. Departamento de Estadística e Investigación Operativa, Madrid.
2. Almaraz, E. (2010), Reglas de decisión en ambiente de riesgo, Tesis de Master, Universidad Nacional de Eduación a Distancia, Facultad de Ciencias Matemáticas. Departamento de Estadística e Investigación Operativa, Madrid.
3. Bali, T., Demirtas, K., Levy, H. & Wolf, A. (2009), 'Bond versus Stock: Investors' Age and Risk Taking', http://ssrn.com/abstract936648.
4. Baumol, W. (1963), 'An expected gain-confidence limit criterion for portfolio selection', Management Science 10, 174-182.
5. Bernstein, P. (1976), 'The time of your life', Journal of Portfolio Management 2(4), 4-7.
6. Latané, H. (1959), 'Criteria for choice among risky ventures', Journal of Political Economy 67(2), 144-155.
7. Leshno, M. & Levy, H. (2002), 'Preferred by all and preferred by most decision makers: almost stochastic dominance', Management Science 48(8), 1074-1085.
8. Leshno, M. & Levy, H. (2004), 'Stochastic dominance and medical decision ma-king', Health Care Management Science 7, 207-2215.
9. Levy, M. (2009), 'Almost stochastic dominance and stocks for the long run', European Journal of Operational Research 194, 250-257.
10. Markowitz, H. (1976), 'Investment for the long run: New evidence for an old rule', Journal of Finance 31, 1273-1286.
11. Shaked, M. & Shanthikumar, G. (2007), Stochastic Orders, Springer Series in Statistics, Springer Series in Statistics.
12. Steinbach, M. C. (2001), 'Markowitz revisited: mean-variance models in financial portfolio analysis', SIAM Review 43(1), 31-85.
Este artículo se puede citar en LaTeX utilizando la siguiente referencia bibliográfica de BibTeX:
@ARTICLE{RCEv34n3a05,
AUTHOR = {Almaraz-Luengo, Elena},
TITLE = {{Pseudo Stochastic Dominance. Applications}},
JOURNAL = {Revista Colombiana de Estadística},
YEAR = {2011},
volume = {34},
number = {3},
pages = {461-476}
}
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