Comparison of analysis deviation methods for the multiplicative operations
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10240032" target="_blank" >RIV/61989100:27510/18:10240032 - isvavai.cz</a>
Výsledek na webu
<a href="https://is.muni.cz/do/econ/sborniky/2018/Proceedings_finalni_verze_September_3.pdf" target="_blank" >https://is.muni.cz/do/econ/sborniky/2018/Proceedings_finalni_verze_September_3.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Comparison of analysis deviation methods for the multiplicative operations
Popis výsledku v původním jazyce
This paper is dedicated to comparison of analysis deviation methods for the multiplicative operations. Evaluation of financial performance belongs to key activities of each company. The importance of the performance concept is widely recognized, it is one of the tools, knowing which helps to manage a company efficiently. Decomposition analysis is also very important. Decomposition analysis helps to analyze the factors affecting selected key measures and quantify their impact on the key measures. In this paper five basic methods of analysis of deviations will be compare - gradual change method, decomposition method with a residue, logarithmic method, functional method and integral method. The aim of this paper is to compare analysis deviation methods for the multiplicative operations used for quantification of the influence of the component indicators to base indicator and verify if using of these five methods leads to the same results. Methods of analysis of deviations will be applied to return on equity (ROE) indicator of manufacturing industry of the Czech Republic and according these five methods main factors will be find and influence of these factors will be quantified. Annual data will be taken from Ministry of industry of the Czech Republic.
Název v anglickém jazyce
Comparison of analysis deviation methods for the multiplicative operations
Popis výsledku anglicky
This paper is dedicated to comparison of analysis deviation methods for the multiplicative operations. Evaluation of financial performance belongs to key activities of each company. The importance of the performance concept is widely recognized, it is one of the tools, knowing which helps to manage a company efficiently. Decomposition analysis is also very important. Decomposition analysis helps to analyze the factors affecting selected key measures and quantify their impact on the key measures. In this paper five basic methods of analysis of deviations will be compare - gradual change method, decomposition method with a residue, logarithmic method, functional method and integral method. The aim of this paper is to compare analysis deviation methods for the multiplicative operations used for quantification of the influence of the component indicators to base indicator and verify if using of these five methods leads to the same results. Methods of analysis of deviations will be applied to return on equity (ROE) indicator of manufacturing industry of the Czech Republic and according these five methods main factors will be find and influence of these factors will be quantified. Annual data will be taken from Ministry of industry of the Czech Republic.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
European Financial Systems 2018 : proceedings of the 15th international scientific conference : June 25-26, 2018, Brno, Czech Republic
ISBN
978-80-210-8980-8
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
559-566
Název nakladatele
Masarykova univerzita
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
25. 6. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000462948800072