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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F17%3APU125964" target="_blank" >RIV/00216305:26510/17:PU125964 - isvavai.cz</a>

Výsledek na webu

<a href="http://pjms.zim.pcz.pl/resources/html/article/details?id=158396" target="_blank" >http://pjms.zim.pcz.pl/resources/html/article/details?id=158396</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17512/pjms.2017.16.2.15" target="_blank" >10.17512/pjms.2017.16.2.15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Polish Journal of Management Studies

ISSN

2081-7452

e-ISSN

—

Svazek periodika

16

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

18

Strana od-do

171-187

Kód UT WoS článku

000419761600015

EID výsledku v databázi Scopus

2-s2.0-85040047270