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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50602 - Public administration

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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