Result Details

Rumours Related to Political Instability and their Impact on IPOs. The Use of Qualitative Modelling with Incomplete Knowledge.

MELUZÍN, T.; PIETRZAK, M.; BALCERZAK, A.; ZINECKER, M.; DOUBRAVSKÝ, K.; DOHNAL, M. Rumours Related to Political Instability and their Impact on IPOs. The Use of Qualitative Modelling with Incomplete Knowledge. Polish Journal of Management Studies, 2017, vol. 16, no. 2, p. 171-187. ISSN: 2081-7452.
Type
journal article
Language
English
Authors
Meluzín Tomáš, prof. Ing., Ph.D., ÚE (FBM)
Pietrzak Michał Bernard, FBM (FBM)
Balcerzak Adam Przemyslaw, Dr. hab., Ph.D.
Zinecker Marek, prof. Ing., Ph.D., ÚE (FBM), ÚKP (FBM)
Doubravský Karel, Ing., Ph.D., ÚE (FBM), ÚI (FBM), ÚKP (FBM)
Dohnal Mirko, prof. Ing., DrSc., UETE (FEEC), ÚE (FBM), ÚKP (FBM)
Abstract

This paper deals with propagation of rumours linked to political instability within going public procedure. Rumours affect the decision making significantly because of information asymmetry. Firstly, a team of experts identified a set of 9 macroeconomic variables that are likely to be affected by political instability in a country. Next, a qualitative model was developed. The result is represented by 25 scenarios and their qualitative solutions. The transitional graph represents all possible transitions among the 108 scenarios. Although no of the rumours is under control of the investor, if timely detected, any damages can be averted.

Keywords

macroeconomics; politics; rumours; going public; qualitative models; scenarios

URL
Published
2017
Pages
171–187
Journal
Polish Journal of Management Studies, vol. 16, no. 2, ISSN 2081-7452
Publisher
Faculty of Management of Czestochowa University of Technology
Place
Czestochowa
DOI
UT WoS
000419761600015
EID Scopus
BibTeX
@article{BUT142873,
  author="Tomáš {Meluzín} and Michał Bernard {Pietrzak} and Adam Przemyslaw {Balcerzak} and Marek {Zinecker} and Karel {Doubravský} and Mirko {Dohnal}",
  title="Rumours Related to Political Instability and their Impact on IPOs. The Use of Qualitative Modelling with Incomplete Knowledge.",
  journal="Polish Journal of Management Studies",
  year="2017",
  volume="16",
  number="2",
  pages="171--187",
  doi="10.17512/pjms.2017.16.2.15",
  issn="2081-7452",
  url="
      https://pjms.zim.pcz.pl/resources/html/article/details?id=158396
"
}
Departments
Back to top