Fuzzy Model as a Tool for Going Public Predictions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU114232" target="_blank" >RIV/00216305:26510/15:PU114232 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy Model as a Tool for Going Public Predictions
Original language description
The purpose of this paper is to present a proposal of a decision support model based on the fuzzy logic. Fuzzy models are a suitable tool as they offer the chance of working with both absolute and relative quantitative indicators. The main part of the creation of our model was the selection of key variables (macroeconomic indicators) determining the number of initial public offerings (IPOs) under the conditions of the Polish capital market between 2000 and 2013. The Polish primary capital market belongs currently to the most developed capital markets in Europe in terms of both the volume and value of IPOs. The knowledge base of the model is a set of statements. These statements describe real situations, in our case macroeconomic and capital market indicators characterizing the external conditions for IPOs. The weight of these conditional statements or variables determines the extent of the given statements relevance. Our knowledge base includes 14 conditional statements. The outcome of our research is a model proposal which supports managers in decision making about the timing of going public. Choosing the right time of an IPO may help issuers to increase the probability of a successful subscription of new securities.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50602 - Public administration
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth
ISBN
978-0-9860419-4-5
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1050-1056
Publisher name
International Business Information Management Association (IBIMA)
Place of publication
Amsterdam
Event location
Amsterdam
Event date
May 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000360508700107