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Mean-variance investment strategy applied in emerging financial markets: evidence from the Colombian stock market

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Mean-variance investment strategy applied in emerging financial markets: evidence from the Colombian stock market

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García García, F.; Gonzalez Bueno, JA.; Oliver Muncharaz, J. (2015). Mean-variance investment strategy applied in emerging financial markets: evidence from the Colombian stock market. Intellectual Economics. 9(1):22-29. doi:10.1016/j.intele.2015.09.003

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Título: Mean-variance investment strategy applied in emerging financial markets: evidence from the Colombian stock market
Autor: García García, Fernando González Bueno, Jairo Alexander Oliver Muncharaz, Javier
Entidad UPV: Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials
Fecha difusión:
Resumen:
In any investment, an analysis of the expected return and the assumed risk constitutes a fundamental step. Investing in financial assets is no exception. Since the portfolio selection theory was proposed by Markowitz in ...[+]
Palabras clave: Diversification , Efficient frontier , Mean-variance , Profitability , Risk.
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Intellectual Economics. (issn: 1822-8011 )
DOI: 10.1016/j.intele.2015.09.003
Editorial:
Mykolas Romeris University - Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.intele.2015.09.003
Descripción: Copyright 2015, Mykolas Romeris University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Tipo: Artículo

References

Barak, S., & Modarres, M. (2015). Developing an approach to evaluate stocks by forecasting effective features with data mining methods. Expert Systems with Applications, 42(3), 1325-1339. doi:10.1016/j.eswa.2014.09.026

Becker, F., Gürtler, M., & Hibbeln, M. (2013). Markowitz versus Michaud: portfolio optimization strategies reconsidered. The European Journal of Finance, 21(4), 269-291. doi:10.1080/1351847x.2013.830138

Belghitar, Y., Clark, E., & Deshmukh, N. (2014). Does it pay to be ethical? Evidence from the FTSE4Good. Journal of Banking & Finance, 47, 54-62. doi:10.1016/j.jbankfin.2014.06.027 [+]
Barak, S., & Modarres, M. (2015). Developing an approach to evaluate stocks by forecasting effective features with data mining methods. Expert Systems with Applications, 42(3), 1325-1339. doi:10.1016/j.eswa.2014.09.026

Becker, F., Gürtler, M., & Hibbeln, M. (2013). Markowitz versus Michaud: portfolio optimization strategies reconsidered. The European Journal of Finance, 21(4), 269-291. doi:10.1080/1351847x.2013.830138

Belghitar, Y., Clark, E., & Deshmukh, N. (2014). Does it pay to be ethical? Evidence from the FTSE4Good. Journal of Banking & Finance, 47, 54-62. doi:10.1016/j.jbankfin.2014.06.027

Chen, C., & Kwon, R. H. (2012). Robust portfolio selection for index tracking. Computers & Operations Research, 39(4), 829-837. doi:10.1016/j.cor.2010.08.019

Edirisinghe, N. C. P. (2013). Index-tracking optimal portfolio selection. Quantitative Finance Letters, 1(1), 16-20. doi:10.1080/21649502.2013.803789

García, F., Guijarro, F., & Moya, I. (2011). The curvature of the tracking frontier: A new criterion for the partial index tracking problem. Mathematical and Computer Modelling, 54(7-8), 1781-1784. doi:10.1016/j.mcm.2011.02.015

García, F., Guijarro, F., & Moya, I. (2013). A MULTIOBJECTIVE MODEL FOR PASSIVE PORTFOLIO MANAGEMENT: AN APPLICATION ON THE S&P 100 INDEX. Journal of Business Economics and Management, 14(4), 758-775. doi:10.3846/16111699.2012.668859

Hsu, C.-M. (2014). A hybrid SVR-PSO portfolio optimization procedure for multi-period stock investments. Computational Intelligence and Industrial Engineering. doi:10.2495/ciie140231

Jablonskienė, D. (2013). Influence of Pension Funds and Life Insurance on Old-Age Pension. Intellectual Economics, 7(3), 375-388. doi:10.13165/ie-13-7-3-08

Jacobs, H., Müller, S., & Weber, M. (2014). How should individual investors diversify? An empirical evaluation of alternative asset allocation policies. Journal of Financial Markets, 19, 62-85. doi:10.1016/j.finmar.2013.07.004

Loukeris, N., & Eleftheriadis, I. (2015). Support Vector Machines Networks to Hybrid Neuro-Genetic SVMs in Portfolio Selection. Intelligent Information Management, 07(03), 123-129. doi:10.4236/iim.2015.73011

Nazemi, A., Abbasi, B., & Omidi, F. (2014). Solving portfolio selection models with uncertain returns using an artificial neural network scheme. Applied Intelligence, 42(4), 609-621. doi:10.1007/s10489-014-0616-z

Xia, H., Min, X., & Deng, S. (2015). Effectiveness of earnings forecasts in efficient global portfolio construction. International Journal of Forecasting, 31(2), 568-574. doi:10.1016/j.ijforecast.2014.10.004

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