Repository logoRepository logoRepository logoRepository logo
Repository logoRepository logoRepository logoRepository logo
  • Communities & Collections
  • Research Outputs
  • Employees
  • AAAHigh contrastHigh contrast
    EN PL
    • Log In
      Have you forgotten your password?
AAAHigh contrastHigh contrast
EN PL
  • Log In
    Have you forgotten your password?
  1. Home
  2. Bibliografia UPP
  3. Bibliografia UPP
  4. A PPP Projects Valuation: Real Options, Competition and Anchoring Bias
 
Full item page
Options

A PPP Projects Valuation: Real Options, Competition and Anchoring Bias

Type
Journal article
Language
English
Date issued
2025
Author
Anyebe, Daniel
Di Bari, Antonio
Santoro, Domenico
Villani, Giovanni
Faculty
Wydział Ekonomiczny
Journal
Computational Economics
ISSN
0927-7099
DOI
10.1007/s10614-025-11109-6
Abstract (EN)
This paper presents an integrated mathematical model for the evaluation of public-private partnership (PPP) projects, taking into account uncertainty, anchoring bias, and potential competition that may affect such investments. Before committing to a PPP project, private firms must carefully consider public opinion, as well as manage the uncertainty and possible competitive dynamics that may arise in the future. Anchoring bias is a cognitive bias in which investors have trust in a particular piece of market information, known as the anchor, when forming their investment decisions. Specifically, the paper combines the real options approach with game theory to account for competition and Natural Language Processing (NLP) techniques to capture the impact of market information disclosure. The result is an integrated model that serves as a decision-making tool for evaluating investments in PPP projects.
Keywords (EN)
  • options game approach

  • PPP projects

  • NLP

  • competition

  • anchoring bias

License
closedaccessclosedaccess Closed Access
Fundusze Europejskie
  • About repository
  • Contact
  • Privacy policy
  • Cookies

Copyright 2025 Uniwersytet Przyrodniczy w Poznaniu

DSpace Software provided by PCG Academia