IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-96-6998-1_11.html
   My bibliography  Save this book chapter

Three Innovative Methods for Evaluating Corporate Cash Flows: The Extended Net Present Value Criterion, the Smooth Pasting Condition, and the Markowitz Model

In: Economics and Finance Readings

Author

Listed:
  • Marco Desogus

    (Department of Law, University of Sassari)

  • Elisa Casu

    (Independent Economist)

Abstract

This chapter has the aim of providing a privileged perspective on cash-flow dynamics in the context of business analysis—whether evaluative or diagnostic—in general and comparatively across each business segment. In particular, the discussions presented focus on cash-flow volatility by adopting procedures that appear relevant and promising for the above purposes, whilst they are also attempting to adapt—with the auspice of contributing to scientific and technical process innovations on the topic—some models, typically applied to securities finance, more specifically to flows linked to business and the corporate finance. After an introduction to the issues addressed, three thematic sections propose an estimation method using the Extended Net Present Value (XNPV), a risk-weighting approach through the value matching criterion, and the smooth pasting condition. Finally, processes borrowed from fractal finance and an extension of the Markowitz model are applied.

Suggested Citation

  • Marco Desogus & Elisa Casu, 2025. "Three Innovative Methods for Evaluating Corporate Cash Flows: The Extended Net Present Value Criterion, the Smooth Pasting Condition, and the Markowitz Model," Springer Books, in: Evan Lau & Jaime Moll de Alba & Lee Ming Tan (ed.), Economics and Finance Readings, pages 197-217, Springer.
    • Handle: RePEc:spr:sprchp:978-981-96-6998-1_11
    DOI: 10.1007/978-981-96-6998-1_11
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-981-96-6998-1_11. 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.