IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/100023.html
   My bibliography  Save this paper

Generalized Lyapunov functions and functionally generated trading strategies

Author

Listed:
  • Ruf, Johannes
  • Xie, Kangjianan

Abstract

This paper investigates the dependence of functional portfolio generation, introduced by Fernholz (1999), on an extra finite variation process. The framework of Karatzas and Ruf (2017) is used to formulate conditions on trading strategies to be strong arbitrage relative to the market over sufficiently large time horizons. A mollification argument and Komlós theorem yield a general class of potential arbitrage strategies. These theoretical results are complemented by several empirical examples using data from the S&P 500 stocks.

Suggested Citation

  • Ruf, Johannes & Xie, Kangjianan, 2019. "Generalized Lyapunov functions and functionally generated trading strategies," LSE Research Online Documents on Economics 100023, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:100023
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/100023/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    additive generation; Lyapunov function; market diversity; multiplicative generation; portfolio analysis; portfolio generating function; regular function; S&P 500; Stochastic Portfolio Theory;
    All these keywords.

    JEL classification:

    • F3 - International Economics - - International Finance
    • G3 - Financial Economics - - Corporate Finance and Governance
    • J1 - Labor and Demographic Economics - - Demographic Economics

    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:ehl:lserod:100023. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.