IDEAS home Printed from https://ideas.repec.org/p/sce/scecf3/284.html
   My bibliography  Save this paper

Hedge Fund Classification using K-means Clustering Method

Author

Listed:
  • Nandita Das

Abstract

No abstract is available for this item.

Suggested Citation

  • Nandita Das, 2003. "Hedge Fund Classification using K-means Clustering Method," Computing in Economics and Finance 2003 284, Society for Computational Economics.
  • Handle: RePEc:sce:scecf3:284
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Wenpin Tang & Xiao Xu & Xun Yu Zhou, 2021. "Asset Selection via Correlation Blockmodel Clustering," Papers 2103.14506, arXiv.org, revised Aug 2021.
    2. Harald Oberhofer & Marian Schwinner, 2017. "Do Individual Salaries Depend On the Performance of the Peers? Prototype Heuristic and Wage Bargaining in the NBA," WIFO Working Papers 534, WIFO.
    3. Dhagash Mehta & Dhruv Desai & Jithin Pradeep, 2020. "Machine Learning Fund Categorizations," Papers 2006.00123, arXiv.org.
    4. Yang, Ying & Campana, Pietro Elia & Yan, Jinyue, 2020. "Potential of unsubsidized distributed solar PV to replace coal-fired power plants, and profits classification in Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    5. Uri Kartoun, 2013. "A Method for Comparing Hedge Funds," Papers 1303.0073, arXiv.org, revised Mar 2013.
    6. Jerinsh Jeyapaulraj & Dhruv Desai & Peter Chu & Dhagash Mehta & Stefano Pasquali & Philip Sommer, 2022. "Supervised similarity learning for corporate bonds using Random Forest proximities," Papers 2207.04368, arXiv.org, revised Oct 2022.
    7. Darolles, Serge & Gourieroux, Christian, 2010. "Conditionally fitted Sharpe performance with an application to hedge fund rating," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 578-593, March.
    8. Joe Kainja, 2018. "Using Risk Characteristics to Classify Funds," Applied Finance and Accounting, Redfame publishing, vol. 4(2), pages 31-44, August.

    More about this item

    Keywords

    Hedge funds; Classification; K-means; Cluster analysis;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G19 - Financial Economics - - General Financial Markets - - - Other

    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:sce:scecf3:284. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.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.