IDEAS home Printed from https://ideas.repec.org/a/vrs/aicuec/v59y2012i1p375-393n26.html
   My bibliography  Save this article

Methodological Approaches to Computer Modelling Possibilities in Financial Analysis

Author

Listed:
  • Păvăloaia Vasile-Daniel

    (Faculty of Economics and Business Administration Alexandru Ioan Cuza University Iasi, Romania)

Abstract

The current research intention’ is to present some methodological approaches regarding the possibilities of computerizing the field of financial analysis. Therefore, at first, the characteristics, necessity and objectives of the financial analysis are clearly presented. Secondly, the classical models of application development are compared within a table, pointing out the advantaged versus the disadvantages of each model. Also, the agile models are included for the purpose of deciding which model is the best suited for the analyzed filed. Thirdly, the specific languages for enterprise modelling, namely UML language and ontology are presented and specific ideas are formulated. The article states, at the end, which methodology, model and modelling language is the best suited for computerizing the field of financial analysis and also presents a conceptual computer modelling for financial analysis.

Suggested Citation

  • Păvăloaia Vasile-Daniel, 2012. "Methodological Approaches to Computer Modelling Possibilities in Financial Analysis," Scientific Annals of Economics and Business, Sciendo, vol. 59(1), pages 375-393, July.
    • Handle: RePEc:vrs:aicuec:v:59:y:2012:i:1:p:375-393:n:26
    DOI: 10.2478/v10316-012-0026-5
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/v10316-012-0026-5
    Download Restriction: no
    File URL: https://libkey.io/10.2478/v10316-012-0026-5?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
    ---><---

    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:vrs:aicuec:v:59:y:2012:i:1:p:375-393:n:26. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.