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KARAS, M.; REŽŇÁKOVÁ, M.; PĚTA, J.; AEVOAE, G.; DICU, R.; MARDIROS, D.
Original Title
Predicting Corporate Default and Mergers and Acquisitions Success
English Title
Type
Book
Original Abstract
This book provides a summary of many years of research in the field of deriving bankruptcy prediction models and brings experience in research of mergers and acquisitions success of private companies. A further contribution of the publication is in summarizing the corporate features that enter the models and methods suitable for deriving the models. As uncertainty is an integral part of a prediction process, the procedures, and methods of verifying the assumptions on which the models are based, are being discussed. The application of the methods and the procedure of deriving the model is presented on a derivation of a bankruptcy prediction model designed for SMEs operating in the branch of manufacturing in the Czech Republic. The book is supplemented with a chapter dealing with Romanian experience on mergers and acquisitions on capital market.
English abstract
Keywords
prediction models;bankrutpcy prediction;megers and acquisitions success
Key words in English
Authors
RIV year
2022
Released
29.07.2021
Publisher
VUTIUM
Location
Brno
ISBN
978-80-214-5937-3
Pages count
423
BibTex
@book{BUT172137, author="Michal {Karas} and Mária {Režňáková} and Jan {Pěta} and George-Marian {Aevoae} and Roxana-Manuela {Dicu} and Daniela-Neonila {Mardiros}", title="Predicting Corporate Default and Mergers and Acquisitions Success", year="2021", publisher="VUTIUM", address="Brno", pages="423", isbn="978-80-214-5937-3" }