IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v9y2002i3p177-183.html
   My bibliography  Save this article

Performance of the efficient frontier in an emerging market setting

Author

Listed:
  • Aslihan Altay-Salih
  • Gulnur Muradoglu
  • Muhammet Mercan

Abstract

This study applies the Markowitz analysis to the Istanbul Stock Exchange and empirically investigates the performance of this tool in an emerging market setting. The results show that during the early years of establishment of an emerging stock exchange, an active strategy of mean variance portfolio, investing with monthly balancing, outperforms the passive strategies. However, at later stages the capital market liberalization changes market participants. Together, with the increase in foreign participation and integration of the market with the rest of the world, the performance of means variance efficient portfolios detoriate. The study also reports that the strategy is not effective during financial crisis.

Suggested Citation

  • Aslihan Altay-Salih & Gulnur Muradoglu & Muhammet Mercan, 2002. "Performance of the efficient frontier in an emerging market setting," Applied Economics Letters, Taylor & Francis Journals, vol. 9(3), pages 177-183.
    • Handle: RePEc:taf:apeclt:v:9:y:2002:i:3:p:177-183
    DOI: 10.1080/13504850110054067
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850110054067&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504850110054067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kalman J. Cohen & Jerry A. Pogue, 1967. "An Empirical Evaluation of Alternative Portfolio-Selection Models," The Journal of Business, University of Chicago Press, vol. 40, pages 166-166.
    2. Best, Michael J & Grauer, Robert R, 1991. "On the Sensitivity of Mean-Variance-Efficient Portfolios to Changes in Asset Means: Some Analytical and Computational Results," The Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 315-342.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aydın Ulucan, 2007. "An analysis of mean-variance portfolio selection with varying holding periods," Applied Economics, Taylor & Francis Journals, vol. 39(11), pages 1399-1407.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ravi Jagannathan & Tongshu Ma, 2003. "Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps," Journal of Finance, American Finance Association, vol. 58(4), pages 1651-1683, August.
    2. Grauer, Robert R. & Hakansson, Nils H., 1995. "Stein and CAPM estimators of the means in asset allocation," International Review of Financial Analysis, Elsevier, vol. 4(1), pages 35-66.
    3. Manfred Gilli & Enrico Schumann & Giacomo di Tollo & Gerda Cabej, 2011. "Constructing 130/30-portfolios with the Omega ratio," Journal of Asset Management, Palgrave Macmillan, vol. 12(2), pages 94-108, June.
    4. Jang Ho Kim & Woo Chang Kim & Do-Gyun Kwon & Frank J. Fabozzi, 2018. "Robust equity portfolio performance," Annals of Operations Research, Springer, vol. 266(1), pages 293-312, July.
    5. Bai, Zhidong & Liu, Huixia & Wong, Wing-Keung, 2016. "Making Markowitz's Portfolio Optimization Theory Practically Useful," MPRA Paper 74360, University Library of Munich, Germany.
    6. Candelon, B. & Hurlin, C. & Tokpavi, S., 2012. "Sampling error and double shrinkage estimation of minimum variance portfolios," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 511-527.
    7. Alessandro Cardinali, 2012. "An Out-of-sample Analysis of Mean-Variance Portfolios with Orthogonal GARCH Factors," International Econometric Review (IER), Econometric Research Association, vol. 4(1), pages 1-16, April.
    8. Peng W. He & Andrew Grant & Joel Fabre, 2013. "Economic value of analyst recommendations in Australia: an application of the Black–Litterman asset allocation model," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(2), pages 441-470, June.
    9. Wang, Christina Dan & Chen, Zhao & Lian, Yimin & Chen, Min, 2022. "Asset selection based on high frequency Sharpe ratio," Journal of Econometrics, Elsevier, vol. 227(1), pages 168-188.
    10. Moon K. Kim & Chunchi Wu, 1987. "Macro-Economic Factors And Stock Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(2), pages 87-98, June.
    11. Bodnar Taras & Schmid Wolfgang, 2011. "On the exact distribution of the estimated expected utility portfolio weights: Theory and applications," Statistics & Risk Modeling, De Gruyter, vol. 28(4), pages 319-342, December.
    12. Li, Tianyuan & Chen, Ping, 2024. "Asset allocation combining macro and micro information–Empirical test based on entropy pool model," Finance Research Letters, Elsevier, vol. 64(C).
    13. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2015. "Informatics, Data Mining, Econometrics and Financial Economics: A Connection," Econometric Institute Research Papers EI2015-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Yi Huang & Wei Zhu & Duan Li & Shushang Zhu & Shikun Wang, 2023. "Integrating Different Informations for Portfolio Selection," Papers 2305.17881, arXiv.org.
    15. Egelkraut, Thorsten M. & Woodard, Joshua D. & Garcia, Philip & Pennings, Joost M.E., 2005. "Portfolio Diversification with Commodity Futures: Properties of Levered Futures," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19047, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    16. Wei Shi & Scott H. Irwin, 2005. "Optimal Hedging with a Subjective View: An Empirical Bayesian Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 918-930.
    17. Auh, Jun Kyung & Cho, Wonho, 2023. "Factor-based portfolio optimization," Economics Letters, Elsevier, vol. 228(C).
    18. David Moreno & Paulina Marco & Ignacio Olmeda, 2005. "Risk forecasting models and optimal portfolio selection," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1267-1281.
    19. Simaan, Majeed & Simaan, Yusif & Tang, Yi, 2018. "Estimation error in mean returns and the mean-variance efficient frontier," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 109-124.
    20. Mishra, Anil V., 2015. "Measures of equity home bias puzzle," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 293-312.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:9:y:2002:i:3:p:177-183. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.