IDEAS home Printed from https://ideas.repec.org/a/ris/iosalg/0008.html
   My bibliography  Save this article

Stochastic flow diagrams

Author

Listed:
  • Calkin, Neil J.

    (Department of Mathematical Sciences, Clemson University)

  • López de Prado, Marcos

    (Guggenheim Partners)

Abstract

We introduce Stochastic Flow Diagrams (SFDs), a new mathematical approach to represent complex dynamic systems into a single weighted digraph. This topological representation provides a way to visualize what otherwise would be a morass of equations in differences. SFDs model the propagation and reverberation that follows a shock. For example, reverberation explains how a shock to a financial system can initiate a sequence of events that lead to a crash long after the occurrence of the shock. SFDs can simulate systems in stable, steady or explosive state. SFDs add Topology to the Statistical and Econometric toolkit. We believe that SFDs will help policy makers, investors and researchers communicate and discuss better the complexity of dynamic systems.

Suggested Citation

  • Calkin, Neil J. & López de Prado, Marcos, 2014. "Stochastic flow diagrams," Algorithmic Finance, IOS Press, vol. 3(1-2), pages 21-42.
  • Handle: RePEc:ris:iosalg:0008
    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. Bruno Scalzo Dees & Ljubisa Stankovic & Anthony G. Constantinides & Danilo P. Mandic, 2019. "Portfolio Cuts: A Graph-Theoretic Framework to Diversification," Papers 1910.05561, arXiv.org, revised Oct 2019.
    2. Alvaro Arroyo & Bruno Scalzo & Ljubisa Stankovic & Danilo P. Mandic, 2021. "Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification," Papers 2106.03417, arXiv.org.

    More about this item

    Keywords

    Time series; graph theory; topology; financial flows; macro trading;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical 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:ris:iosalg:0008. 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: Saskia van Wijngaarden (email available below). General contact details of provider: http://www.iospress.nl/ .

    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.