IDEAS home Printed from https://ideas.repec.org/p/bdr/borrec/495.html

The case for active management from the perspective of Complexity Theory

Author

Listed:
  • Alejandro Revéiz Herault

  • Sebastian Rojas

Abstract

This paper approaches active management of baskets of currencies from the perspective of Complexity theory, where the market is analysed as a Complex Adaptive system. A basket of currencies is constructed using objective probabilities (propensities) and an artificial intelligence optimization technique that allows for implicit learning of correlations dynamics. Statistical tests of the diversification benefit are presented.

Suggested Citation

  • Alejandro Revéiz Herault & Sebastian Rojas, 2008. "The case for active management from the perspective of Complexity Theory," Borradores de Economia 495, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:495
    DOI: 10.32468/be.495
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/be.495
    Download Restriction: no
    File URL: https://libkey.io/10.32468/be.495?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Alejandro Reveiz & Carlos León, 2010. "Efficient Portfolio Optimization in the Wealth Creation and Maximum Drawdown Space," Palgrave Macmillan Books, in: Arjan B. Berkelaar & Joachim Coche & Ken Nyholm (ed.), Interest Rate Models, Asset Allocation and Quantitative Techniques for Central Banks and Sovereign Wealth Funds, chapter 7, pages 134-157, Palgrave Macmillan.
    3. Alejandro Reveiz‐Herault, 2016. "An Active Asset Management Investment Process for Drawdown‐Averse Investors," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 85-96, January.
    4. Alejandro Reveiz Herault, 2008. "The Factor-Portfolios Approach to Asset Management using Genetic Algorithms," Borradores de Economia 4626, Banco de la Republica.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:bdr:borrec:495. 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: Clorith Angélica Bahos Olivera (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.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.