Three Innovative Methods for Evaluating Corporate Cash Flows: The Extended Net Present Value Criterion, the Smooth Pasting Condition, and the Markowitz Model
Marco Desogus () and
Elisa Casu ()
Additional contact information
Marco Desogus: Department of Law, University of Sassari
Elisa Casu: Independent Economist
A chapter in Economics and Finance Readings, 2025, pp 197-217 from Springer
Abstract:
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.
Keywords: Cash-flow volatility; Risk management; Corporate assessments; Extended NPV; Value matching criterion; Smooth pasting condition; Fractal analysis; Markowitz model; C13; G32; M41 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-96-6998-1_11
Ordering information: This item can be ordered from
http://www.springer.com/9789819669981
DOI: 10.1007/978-981-96-6998-1_11
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().