Impact of Indebtedness on the Company Performance: Comparison of Merged and Non-Merged Companies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F19%3A00110877" target="_blank" >RIV/00216224:14560/19:00110877 - isvavai.cz</a>

Výsledek na webu

<a href="https://is.muni.cz/do/econ/sborniky/2019/Proceedings_final.pdf" target="_blank" >https://is.muni.cz/do/econ/sborniky/2019/Proceedings_final.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Impact of Indebtedness on the Company Performance: Comparison of Merged and Non-Merged Companies

Popis výsledku v původním jazyce

The object of the study is the influence of the merger on company performance. Company performance might be measured by various indicators, such as profitability, various forms of the company profit, liquidity, etc. In this paper, we have taken into account another possibility of how the company performance might be evaluated – indebtedness. The goal of the study is to verify whether there is a relationship between the company performance of companies that merged and those which did not merge. The dataset consists of 276 merged companies and 234 companies that did not merge. Concerning methodology, the test is based on non-parametric tests, particularly Wilcoxon Matched Pairs Test and Sign Test.

Název v anglickém jazyce

Impact of Indebtedness on the Company Performance: Comparison of Merged and Non-Merged Companies

Popis výsledku anglicky

The object of the study is the influence of the merger on company performance. Company performance might be measured by various indicators, such as profitability, various forms of the company profit, liquidity, etc. In this paper, we have taken into account another possibility of how the company performance might be evaluated – indebtedness. The goal of the study is to verify whether there is a relationship between the company performance of companies that merged and those which did not merge. The dataset consists of 276 merged companies and 234 companies that did not merge. Concerning methodology, the test is based on non-parametric tests, particularly Wilcoxon Matched Pairs Test and Sign Test.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50206 - Finance

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 16th International Scientific Conference European Financial Systems 2019

ISBN

9788021093386

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

610-615

Název nakladatele

Masaryk University Press

Místo vydání

Brno, Czech Republic

Místo konání akce

Brno, Czech Republic

Datum konání akce

1. 1. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000503222600073