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Initial Public Offering Qualitative Unsteady-State Model Based on Exogenous Variables

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/00216305:26510/15:PU119805

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Initial Public Offering Qualitative Unsteady-State Model Based on Exogenous Variables

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

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

    Political Sciences, Law, Finance, Economics and Tourism

  • ISBN

    978-619-7105-47-6

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    229-236

  • Publisher name

    STEF92 Technology Ltd.

  • Place of publication

    Sofia, Bulgaria

  • Event location

    Albena

  • Event date

    Aug 26, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article