Artikel
Measuring synergies of banks' cross-border mergers by real options: Case study of Luminor Group AB
Applying the real options valuation to measure merger and acquisition (M&A) synergy is highly debatable, with questions arising from the usefulness of this approach in real-world settings. Understanding the full benefits (and possible limits) of real options applications to measure synergy in cross-border merger activities remains a challenge. The main objective of the paper is to explore multiple types of synergies in the recent, highly strategic cross-border merger - the Luminor Group AB deal - and to value those synergies with the real options application. The research found that the sum of values of different types of synergies in M&A deals as the market value added provided by this deal could be valued with real options applications. A real options application may serve as a decision-making tool and at the same time be a useful valuation method of M&A deal synergies. The implications of this paper are twofold. First, the research contributes to corporate financing by providing relevant synergy measurement models in M&A deals. Second, the paper contributes to "grand challenges'' research topics of international businesses by illustrating how a group of multinational banks solved the problem of income inequality across countries, and balanced inequality within their networks through a cross-border merger.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 14 ; Year: 2021 ; Issue: 9 ; Pages: 1-20 ; Basel: MDPI
- Classification
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Wirtschaft
- Subject
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real options
cross-border merger
synergies
- Event
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Geistige Schöpfung
- (who)
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Čirjevskis, Andrejs
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
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2021
- DOI
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doi:10.3390/jrfm14090403
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Čirjevskis, Andrejs
- MDPI
Time of origin
- 2021