The timing of initial public offerings – non-numerical model based on qualitative trends

The objective of this study is to develop a qualitative model supporting chief financial officers (CFOs) while considering the timing of initial public offerings (IPOs) under conditions of underdeveloped capital markets, where decision making is often made under information shortage. A lack of adequ...

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Main Authors: Tomáš Meluzín, Marek Zinecker, Adam P. Balcerzak, Karel Doubravský, Michał B. Pietrzak, Mirko Dohnal
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2018-04-01
Series:Journal of Business Economics and Management
Subjects:
Online Access:https://journals.vgtu.lt/index.php/JBEM/article/view/1539
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author Tomáš Meluzín
Marek Zinecker
Adam P. Balcerzak
Karel Doubravský
Michał B. Pietrzak
Mirko Dohnal
author_facet Tomáš Meluzín
Marek Zinecker
Adam P. Balcerzak
Karel Doubravský
Michał B. Pietrzak
Mirko Dohnal
author_sort Tomáš Meluzín
collection DOAJ
description The objective of this study is to develop a qualitative model supporting chief financial officers (CFOs) while considering the timing of initial public offerings (IPOs) under conditions of underdeveloped capital markets, where decision making is often made under information shortage. A lack of adequate statistical data in connection with turbulently changing environment suggests that additional research is needed to develop new IPO timing models based not only on statistical analyses. We used a qualitative research approach based on trends, which are increasing, constant or decreasing. Firstly, we identified key variables influencing IPO timing, which have sufficient support in the relevant IPO academic literature, e.g. GDP growth rates, level of compliance, stock market returns, etc. Next, a qualitative model working with 9 variables was developed. The result is represented by 19 scenarios and their qualitative solutions. The transitional graph represents all possible transitions among the 19 scenarios. The main message of the findings presented is what scenarios can occur and what actions might be implemented by CFOs in order to increase the chances of IPO success. We believe that our findings provide valuable implications for local issuers, investment bankers, stock exchanges and macroeconomic policy makers.
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spelling doaj.art-c9cf1f5c88744452a574b29d807d7cd92022-12-21T20:12:30ZengVilnius Gediminas Technical UniversityJournal of Business Economics and Management1611-16992029-44332018-04-0119110.3846/jbem.2018.1539The timing of initial public offerings – non-numerical model based on qualitative trendsTomáš Meluzín0Marek Zinecker1Adam P. Balcerzak2Karel Doubravský3Michał B. Pietrzak4Mirko Dohnal5Brno University of Technology, Faculty of Business and Management, Kolejní 2906/4, 61200 Brno, Czech RepublicBrno University of Technology, Faculty of Business and Management, Kolejní 2906/4, 61200 Brno, Czech RepublicNicolaus Copernicus University in Toruń, Faculty of Economic Sciences and Management, ul. Gagarina 13a, 87-100 Toruń, PolandBrno University of Technology, Faculty of Business and Management, Kolejní 2906/4, 61200 Brno, Czech RepublicNicolaus Copernicus University in Toruń, Faculty of Economic Sciences and Management, ul. Gagarina 13a, 87-100 Toruń, PolandBrno University of Technology, Faculty of Business and Management, Kolejní 2906/4, 61200 Brno, Czech RepublicThe objective of this study is to develop a qualitative model supporting chief financial officers (CFOs) while considering the timing of initial public offerings (IPOs) under conditions of underdeveloped capital markets, where decision making is often made under information shortage. A lack of adequate statistical data in connection with turbulently changing environment suggests that additional research is needed to develop new IPO timing models based not only on statistical analyses. We used a qualitative research approach based on trends, which are increasing, constant or decreasing. Firstly, we identified key variables influencing IPO timing, which have sufficient support in the relevant IPO academic literature, e.g. GDP growth rates, level of compliance, stock market returns, etc. Next, a qualitative model working with 9 variables was developed. The result is represented by 19 scenarios and their qualitative solutions. The transitional graph represents all possible transitions among the 19 scenarios. The main message of the findings presented is what scenarios can occur and what actions might be implemented by CFOs in order to increase the chances of IPO success. We believe that our findings provide valuable implications for local issuers, investment bankers, stock exchanges and macroeconomic policy makers.https://journals.vgtu.lt/index.php/JBEM/article/view/1539initial public offeringIPOtimingdeterminantsmacroeconomicsmicroeconomics
spellingShingle Tomáš Meluzín
Marek Zinecker
Adam P. Balcerzak
Karel Doubravský
Michał B. Pietrzak
Mirko Dohnal
The timing of initial public offerings – non-numerical model based on qualitative trends
Journal of Business Economics and Management
initial public offering
IPO
timing
determinants
macroeconomics
microeconomics
title The timing of initial public offerings – non-numerical model based on qualitative trends
title_full The timing of initial public offerings – non-numerical model based on qualitative trends
title_fullStr The timing of initial public offerings – non-numerical model based on qualitative trends
title_full_unstemmed The timing of initial public offerings – non-numerical model based on qualitative trends
title_short The timing of initial public offerings – non-numerical model based on qualitative trends
title_sort timing of initial public offerings non numerical model based on qualitative trends
topic initial public offering
IPO
timing
determinants
macroeconomics
microeconomics
url https://journals.vgtu.lt/index.php/JBEM/article/view/1539
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