IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-78965-7_30.html
   My bibliography  Save this book chapter

Robomanagement $$^\mathrm{{TM}}$$ TM : Virtualizing the Asset Management Team Through Software Objects

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Riccardo Donati

    (Redexe)

  • Marco Corazza

    (Ca’ Foscari University of Venice)

Abstract

In this paper, we describe a Fintech application we have developed in the field of Asset and Portfolio Management. It regards the virtualization of an entire Asset Management Team, including the Asset Manager, the Risk Manager, the Analysts, the Broker, the Compliance and the Auditor. To show in practice the setup process, how our framework works and the achieved results, we use a real case study regarding the active management of an Investment Certificate. We underline the advantages of a virtual investment committee compared to a human one, including costs reduction, full customizability, scalability, human bias elimination, fast response to regime changes and operative risk control.

Suggested Citation

  • Riccardo Donati & Marco Corazza, 2021. "Robomanagement $$^\mathrm{{TM}}$$ TM : Virtualizing the Asset Management Team Through Software Objects," Springer Books, in: Marco Corazza & Manfred Gilli & Cira Perna & Claudio Pizzi & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 201-207, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-78965-7_30
    DOI: 10.1007/978-3-030-78965-7_30
    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.

    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:spr:sprchp:978-3-030-78965-7_30. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.