IDEAS home Printed from https://ideas.repec.org/a/kap/csecmg/v5y1992i1p23-39.html
   My bibliography  Save this article

A Network Model and Algorithm for the Analysis and Estimation of Financial Flow of Funds

Author

Listed:
  • Hughes, Merritt
  • Nagurney, Anna

Abstract

This paper presents a network model of financial flow of funds accounting which can be used to calculate reconciled values of all outstanding financial instruments, tangible assets, and net worth. The model captures the accounting identities which must hold and permits the estimation of sector holdings of both assets and liabilities, as well as total outstanding instrument volumes. A decomposition algorithm is then developed which resolves the network problem into simpler sub-problems, each of which can then be solved exactly and in closed form. A theoretical analysis of the algorithm is also given. Finally, the algorithm is applied to a dataset derived.from the Federal Reserve Board data for 1989. The balanced dataset can then be used as a baseline for an empirical general equilibrium model. Citation Copyright 1992 by Kluwer Academic Publishers.

Suggested Citation

  • Hughes, Merritt & Nagurney, Anna, 1992. "A Network Model and Algorithm for the Analysis and Estimation of Financial Flow of Funds," Computer Science in Economics & Management, Kluwer;Society for Computational Economics, vol. 5(1), pages 23-39, February.
    • Handle: RePEc:kap:csecmg:v:5:y:1992:i:1:p:23-39
    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. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    2. Gabe De Bondt, 2005. "Determinants of corporate debt securities in the Euro area," The European Journal of Finance, Taylor & Francis Journals, vol. 11(6), pages 493-509.
    3. George Halkos & Shunsuke Managi & Kyriaki Tsilika, 2021. "Ranking Countries and Geographical Regions in the International Green Bond Transfer Network: A Computational Weighted Network Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1301-1346, December.

    More about this item

    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:kap:csecmg:v:5:y:1992:i:1:p:23-39. 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.