IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1710.01787.html
   My bibliography  Save this paper

On Kelly Betting: Some Limitations

Author

Listed:
  • Chung-Han Hsieh
  • B. Ross Barmish

Abstract

The focal point of this paper is the so-called Kelly Criterion, a prescription for optimal resource allocation among a set of gambles which are repeated over time. The criterion calls for maximization of the expected value of the logarithmic growth of wealth. While significant literature exists providing the rationale for such an optimization, this paper concentrates on the limitations of the Kelly-based theory. To this end, we fill a void in published results by providing specific examples quantifying what difficulties are encountered when Taylor-style approximations are used and when wealth drawdowns are considered. For the case of drawdown, we describe some research directions which we feel are promising for improvement of the theory.

Suggested Citation

  • Chung-Han Hsieh & B. Ross Barmish, 2017. "On Kelly Betting: Some Limitations," Papers 1710.01787, arXiv.org.
  • Handle: RePEc:arx:papers:1710.01787
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1710.01787
    File Function: Latest version
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Radchenko, Tatiana (Радченко, Татьяна) & Parshina, Elena (Паршина, Елена), 2014. "Regulatory Impact Assessment in Russia: Practical Applications and conclusions of the theory [Оценка Регулирующего Воздействия В России: Практика Применения И Выводы Из Теории]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3.

    More about this item

    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:arx:papers:1710.01787. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.