IDEAS home Printed from https://ideas.repec.org/p/pdb/opaper/95.html
   My bibliography  Save this paper

Stabilising the Capital Market of Bangladesh: Addressing the Structural, Institutional and Operational Issues

Author

Listed:
  • Khondaker Golam Moazzem
  • Md. Tariqur Rahman

Abstract

The capital market of Bangladesh is passing through a period of extreme volatility, uncertainty and grave crisis. This paper provides a brief review of the problems that characterise the capital market in Bangladesh; carries out a critical review of the initiatives taken till December 2011 to rescue the market and examines the implications of such measures for the market (if any); and puts forward a number of concrete recommendations towards restoration of market confidence and stability.

Suggested Citation

  • Khondaker Golam Moazzem & Md. Tariqur Rahman, 2012. "Stabilising the Capital Market of Bangladesh: Addressing the Structural, Institutional and Operational Issues," CPD Working Paper 95, Centre for Policy Dialogue (CPD).
    • Handle: RePEc:pdb:opaper:95
    as

    Download full text from publisher

    File URL: https://cpd.org.bd/pub_attach/WP95.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Meredith Beechey & David Gruen & James Vickery, 2000. "The Efficient Market Hypothesis: A Survey," RBA Research Discussion Papers rdp2000-01, Reserve Bank of Australia.
    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. Centre for Policy Dialogue (CPD), 2012. "Analytical Review of Bangladesh's Macroeconomic Performance in FY2011-12 (Second Reading)," CPD Working Paper 98, Centre for Policy Dialogue (CPD).

    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. Oxelheim, Lars & Rafferty, Michael, 2005. "On the static efficiency of secondary bond markets," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 117-135, April.
    2. Amaresh Das, 2011. "Martingales, Efficient Market Hypothesis and Kolmogorov’s Complexity Theory," Information Management and Business Review, AMH International, vol. 2(6), pages 252-258.
    3. Basak, Suryoday & Kar, Saibal & Saha, Snehanshu & Khaidem, Luckyson & Dey, Sudeepa Roy, 2019. "Predicting the direction of stock market prices using tree-based classifiers," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 552-567.
    4. J. P. Marney & Heather Tarbert & Jos Koetsier & Marco Guidi, 2008. "The application of the self-organizing map, the k-means algorithm and the multi-layer perceptron to the detection of technical trading patterns," Applied Financial Economics, Taylor & Francis Journals, vol. 18(12), pages 1009-1019.
    5. Roland Rothenstein, 2018. "Quantification of market efficiency based on informational-entropy," Papers 1812.02371, arXiv.org.
    6. Aghamohammadi, Cina & Ebrahimian, Mehran & Tahmooresi, Hamed, 2014. "Permutation approach, high frequency trading and variety of micro patterns in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 25-30.
    7. Gozbasi, Onur & Kucukkaplan, Ilhan & Nazlioglu, Saban, 2014. "Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests," Economic Modelling, Elsevier, vol. 38(C), pages 381-384.
    8. Mubariz Hasanov, 2009. "A note on efficiency of Australian and New Zealand stock markets," Applied Economics, Taylor & Francis Journals, vol. 41(2), pages 269-273.
    9. Fischer, Thomas, 2011. "News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 54196, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Kei Takeuchi & Akimichi Takemura & Masayuki Kumon, 2011. "New Procedures for Testing Whether Stock Price Processes are Martingales," Computational Economics, Springer;Society for Computational Economics, vol. 37(1), pages 67-88, January.
    11. C. Royal & J. Evans & S.S. Windsor, 2014. "The missing strategic link - human capital knowledge, and risk in the finance industry - two mini case studies," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 189-206, July.
    12. Y. Shi & A. N. Gorban & T. Y. Yang, 2013. "Is it possible to predict long-term success with k-NN? Case Study of four market indices (FTSE100, DAX, HANGSENG, NASDAQ)," Papers 1307.8308, arXiv.org.
    13. Dima, Bogdan & Barna, Flavia & Pirtea, Marilen, 2007. "Romanian Capital Market And The Informational Efficiency," MPRA Paper 5807, University Library of Munich, Germany.
    14. Leonardo Chaves Borges Cardoso & Maurício Vaz Lobo Bittencourt, 2016. "Price Volatility Transmission From Oil To Energy And Non-Energy Agricultural Commodities," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 181, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Da Silva, Sergio, 2015. "Financial Market Efficiency Should be Gauged in Relative Rather than Absolute Terms," MPRA Paper 64497, University Library of Munich, Germany.
    16. Mynhardt, H. R. & Plastun, Alex, 2013. "The Overreaction Hypothesis: The Case of Ukrainian Stock Market," MPRA Paper 58941, University Library of Munich, Germany.
    17. Hasan A?an Karaduman, 2016. "Stylized Facts And Weak-Form Efficiency In Turkish Stock Market," Proceedings of International Academic Conferences 4006651, International Institute of Social and Economic Sciences.
    18. Thomas Schuster, 2003. "News Events and Price Movements. Price Effects of Economic and Non-Economic Publications in the News Media," Finance 0305009, University Library of Munich, Germany.
    19. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," SRE-Disc sre-disc-2009_07, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    20. Vivian Lei & Filip Vesely, 2009. "Market Efficiency: Evidence From A No-Bubble Asset Market Experiment," Pacific Economic Review, Wiley Blackwell, vol. 14(2), pages 246-258, May.

    More about this item

    Keywords

    Capital market of Bangladesh; Probe Committee; Securities and Exchange Commission (SEC);
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pdb:opaper:95. 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: Avra Bhattacharjee (email available below). General contact details of provider: https://edirc.repec.org/data/cpdddbd.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.