Initial Public Offering Qualitative Unsteady-State Model Based on Exogenous Variables
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU115943" target="_blank" >RIV/00216305:26510/15:PU115943 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216305:26510/15:PU119805
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Initial Public Offering Qualitative Unsteady-State Model Based on Exogenous Variables
Popis výsledku v původním jazyce
Initial Public Offering (IPO) decision support models are based on complex and vague network of knowledge items. However, IPO related processes based on exogenous variables are highly non-linear, vague, partially inconsistent and multidimensional systems. It is prohibitively difficult to study them on quantitative levels e.g. using numerical values, especially under conditions of capital markets with a lack of appropriate data sets. The resulting oversimplified models and therefore inapplicable resultsare often obtained. The purpose of this article is to explore exogenous factors that influence the decision of enterprises about IPO timing and thus to enlarge the current IPO literature with applying qualitative modelling to support CFOs when considering the timing of new issues under conditions of emerging and underdeveloped capital markets. Our IPO qualitative model is based on 12 variables and 30 qualitative relations among them. The model has 27 solutions/scenarios. All transitions
Název v anglickém jazyce
Initial Public Offering Qualitative Unsteady-State Model Based on Exogenous Variables
Popis výsledku anglicky
Initial Public Offering (IPO) decision support models are based on complex and vague network of knowledge items. However, IPO related processes based on exogenous variables are highly non-linear, vague, partially inconsistent and multidimensional systems. It is prohibitively difficult to study them on quantitative levels e.g. using numerical values, especially under conditions of capital markets with a lack of appropriate data sets. The resulting oversimplified models and therefore inapplicable resultsare often obtained. The purpose of this article is to explore exogenous factors that influence the decision of enterprises about IPO timing and thus to enlarge the current IPO literature with applying qualitative modelling to support CFOs when considering the timing of new issues under conditions of emerging and underdeveloped capital markets. Our IPO qualitative model is based on 12 variables and 30 qualitative relations among them. The model has 27 solutions/scenarios. All transitions
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
AH - Ekonomie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Political Sciences, Law, Finance, Economics and Tourism
ISBN
978-619-7105-47-6
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
229-236
Název nakladatele
STEF92 Technology Ltd.
Místo vydání
Sofia, Bulgaria
Místo konání akce
Albena
Datum konání akce
26. 8. 2015
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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