IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2011i4p95-116.html
   My bibliography  Save this article

Portfolio Management Efficiency of Bulgarian Investment Funds

Author

Listed:
  • Alexander Ganchev

Abstract

The portfolio management of the Bulgarian collective investment schemes is the object of this study and the quantitative models and evaluation techniques of the portfolio presentation are the subject thereof. The research aims at analysing the characteristic features of the Bulgarian investment funds in the period between 2007-2010, presenting the data used in the research and the time span, the restrictive conditions and the presumptions for the study as well as its methodology, the empiric results and their analysis. The key inferences and trends for follow-up work on the investigated topic are formulated.

Suggested Citation

  • Alexander Ganchev, 2011. "Portfolio Management Efficiency of Bulgarian Investment Funds," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 95-116.
  • Handle: RePEc:bas:econth:y:2011:i:4:p:95-116
    as

    Download full text from publisher

    File URL: http://www.ceeol.com/aspx/issuedetails.aspx?issueid=144e440b-a488-4af7-8c20-3df2673d0be8&articleid=e6bbdd1a-40dd-4f0f-a0e6-9b266b71b1c4#ae6bbdd1a-40dd-4f0f-a0e6-9b266b71b1c4
    Download Restriction: Fee access
    ---><---

    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. Fama, Eugene F, 1972. "Components of Investment Performance," Journal of Finance, American Finance Association, vol. 27(3), pages 551-567, June.
    Full references (including those not matched with items on IDEAS)

    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. Butt, Prof. Khursheed A & Pandow, Bilal Ahmad, 2013. "An analysis into the Stock Selectivity skill of Indian Fund Managers," MPRA Paper 83500, University Library of Munich, Germany, revised 2013.
    2. Jung‐Soon Shin & Minki Kim & Dongjun Oh & Tong Suk Kim, 2019. "Do hedge funds time market tail risk? Evidence from option‐implied tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 205-237, February.
    3. Thomas Delcey, 2019. "Samuelson vs Fama on the Efficient Market Hypothesis: The Point of View of Expertise [Samuelson vs Fama sur l’efficience informationnelle des marchés financiers : le point de vue de l’expertise]," Post-Print hal-01618347, HAL.
    4. Joanna Olbryś, 2010. "Three-factor market-timing models with Fama and French’s spread variables," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(2), pages 91-106.
    5. Jacob A. Bikker & Dirk W.G.A. Broeders & Dirk Jan de Dreu, 2010. "Stock Market Performance and Pension Fund Investment Policy: Rebalancing, Free Float, or Market Timing?," International Journal of Central Banking, International Journal of Central Banking, vol. 6(2), pages 53-79, June.
    6. Michael K. Berkowitz & Yehuda Kotowitz, 1997. "Management Compensation and the Performance of Mutual Funds," Working Papers berk-97-01, University of Toronto, Department of Economics.
    7. Massimiliano Caporin & Grégory M. Jannin & Francesco Lisi & Bertrand B. Maillet, 2014. "A Survey On The Four Families Of Performance Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 917-942, December.
    8. S. Pavithra & Parthajit Kayal, 2023. "A Study of Investment Style Timing of Mutual Funds in India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 49-72, March.
    9. Godfrey Charles-Cadogan, 2012. "Alpha Representation For Active Portfolio Management and High Frequency Trading In Seemingly Efficient Markets," Papers 1206.2662, arXiv.org.
    10. Linh Tran Dieu, 2015. "A Comparison of Bank and Non-bank Funds in the French Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 47(3), pages 273-294, June.
    11. Chen, Li-Wen & Adams, Andrew & Taffler, Richard, 2013. "What style-timing skills do mutual fund “stars” possess?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 156-173.
    12. Hassan, M. Kabir & Girard, Eric, 2010. "Faith-Based Ethical Investing: The Case Of Dow Jones Islamic Indexes," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 17, pages 1-31.
    13. Trabelsi, Mohamed Ali, 2010. "Choix de portefeuille: comparaison des différentes stratégies [Portfolio selection: comparison of different strategies]," MPRA Paper 82946, University Library of Munich, Germany, revised 01 Dec 2010.
    14. Modigliani, Franco. & Pogue, G. A., 1973. "An introduction to risk and return concepts and evidence," Working papers 646-73., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    15. Bosch-Badia, Maria Teresa & Montllor-Serrats, Joan & Tarrazon-Rodon, Maria-Antonia, 2014. "Unveiling the embedded coherence in divergent performance rankings," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 154-165.
    16. Anjum, Sohail & Qayyum, Unbreen & Qureshi, Madeeha Gohar, 2019. "Aggregate performance evaluation of US Equity Mutual Funds - Explaining the performance of Growth Funds vs. Value Funds," MPRA Paper 100043, University Library of Munich, Germany.
    17. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    18. Renneboog, Luc & Ter Horst, Jenke & Zhang, Chendi, 2008. "The price of ethics and stakeholder governance: The performance of socially responsible mutual funds," Journal of Corporate Finance, Elsevier, vol. 14(3), pages 302-322, June.
    19. Ahmad H. Juma’h & Yazan Alnsour, 2018. "Using Social Media Analytics: The Effect of President Trump’s Tweets On Companies’ Performance," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 17(1), pages 100-121, March.
    20. Ikhlaas Gurrib & Mohammad Nourani & Rajesh Kumar Bhaskaran, 2022. "Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-27, December.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:bas:econth:y:2011:i:4:p:95-116. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    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.