Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Benchmarking project portfolios using optimality thresholds
Stockholm University, Faculty of Social Sciences, Stockholm Business School. University of Chinese Academy of Sciences, China.
Number of Authors: 22021 (English)In: Omega: The International Journal of Management Science, ISSN 0305-0483, E-ISSN 1873-5274, Vol. 99, article id 102166Article in journal (Refereed) Published
Abstract [en]

Risk assessment and selection of project portfolios are carried out under uncertainty, since this process uses historical data that can be adjusted in the future. The problem is whether the decision is still favorable and the level of risk is still acceptable to the investor. Assessing the quality of alternatives provides additional information about robustness to any changes in the parameters of the problem. The paper describes the concept of accuracy function. Using this concept, portfolios are evaluated to determine which portfolio is more robust with a possible increase in the level of risk. When the risk is reduced, the accuracy function indicates the optimality threshold when the selected portfolio can become Pareto optimal. This helps the investor to better assess the market situation and make more rational investment decisions. Based on the global risk assessment from the World Economic Forum report the case study describes the use of the accuracy function in assessing investment portfolios of projects participating in the Belt and Road initiative. The results show improvement paths to make economic arias more investment friendly.

Place, publisher, year, edition, pages
2021. Vol. 99, article id 102166
Keywords [en]
Project portfolios, Pareto optimality, Portfolio selection, Accuracy function, Optimality threshold
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:su:diva-188977DOI: 10.1016/j.omega.2019.102166ISI: 000591503800007OAI: oai:DiVA.org:su-188977DiVA, id: diva2:1519041
Available from: 2021-01-18 Created: 2021-01-18 Last updated: 2022-02-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Wu, Desheng

Search in DiVA

By author/editor
Wu, Desheng
By organisation
Stockholm Business School
In the same journal
Omega: The International Journal of Management Science
Economics and Business

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 100 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf