Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA

The changes that have been triggered in market economies by COVID-19 have increased the importance of assessing the financial standing of companies and sectors. It is essential for managers, lenders, and investors to properly evaluate the financial condition of companies. Therefore, it is crucial to...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Sebastian Klaudiusz Tomczak
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	COVID-19 normal distribution Kruskal–Wallis test indicators decision-making Technology T
Acceso en línea:	https://doaj.org/article/43ee980020cc40b481668f4896abb666
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:43ee980020cc40b481668f4896abb666
record_format	dspace
spelling	oai:doaj.org-article:43ee980020cc40b481668f4896abb6662021-11-11T15:54:41ZRatio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA10.3390/en142171201996-1073https://doaj.org/article/43ee980020cc40b481668f4896abb6662021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7120https://doaj.org/toc/1996-1073The changes that have been triggered in market economies by COVID-19 have increased the importance of assessing the financial standing of companies and sectors. It is essential for managers, lenders, and investors to properly evaluate the financial condition of companies. Therefore, it is crucial to select indicators that show the differences in the values of market sectors before, and during, the COVID-19 pandemic (checking the stability of ratios over time). We used parametric and nonparametric analyses of variance (ANOVA) to single out indicators. The sample consists of listed companies in six sectors from the Visegrad group: manufacturing, construction, retail, wholesale trade, transportation and warehousing, and energy. We applied yearly and quarterly analyses in the periods from Q1 2017–Q1 2021. The analyses take into account 82 indicators. The results of the parametric ANOVA indicate that only the ratio of the company size shows the differences between the sectors in most of the periods of quarterly analysis. In comparison, the results of the nonparametric ANOVA demonstrate that five ratios show differences between the sectors in the quarterly analysis, and nine show differences in the yearly analysis. On the basis of the results, the construction and energy sectors are the least effective in managing their assets.Sebastian Klaudiusz TomczakMDPI AGarticleCOVID-19normal distributionKruskal–Wallis testindicatorsdecision-makingTechnologyTENEnergies, Vol 14, Iss 7120, p 7120 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 normal distribution Kruskal–Wallis test indicators decision-making Technology T
spellingShingle	COVID-19 normal distribution Kruskal–Wallis test indicators decision-making Technology T Sebastian Klaudiusz Tomczak Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA
description	The changes that have been triggered in market economies by COVID-19 have increased the importance of assessing the financial standing of companies and sectors. It is essential for managers, lenders, and investors to properly evaluate the financial condition of companies. Therefore, it is crucial to select indicators that show the differences in the values of market sectors before, and during, the COVID-19 pandemic (checking the stability of ratios over time). We used parametric and nonparametric analyses of variance (ANOVA) to single out indicators. The sample consists of listed companies in six sectors from the Visegrad group: manufacturing, construction, retail, wholesale trade, transportation and warehousing, and energy. We applied yearly and quarterly analyses in the periods from Q1 2017–Q1 2021. The analyses take into account 82 indicators. The results of the parametric ANOVA indicate that only the ratio of the company size shows the differences between the sectors in most of the periods of quarterly analysis. In comparison, the results of the nonparametric ANOVA demonstrate that five ratios show differences between the sectors in the quarterly analysis, and nine show differences in the yearly analysis. On the basis of the results, the construction and energy sectors are the least effective in managing their assets.
format	article
author	Sebastian Klaudiusz Tomczak
author_facet	Sebastian Klaudiusz Tomczak
author_sort	Sebastian Klaudiusz Tomczak
title	Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA
title_short	Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA
title_full	Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA
title_fullStr	Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA
title_full_unstemmed	Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA
title_sort	ratio selection between six sectors in the visegrad group using parametric and nonparametric anova
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/43ee980020cc40b481668f4896abb666
work_keys_str_mv	AT sebastianklaudiusztomczak ratioselectionbetweensixsectorsinthevisegradgroupusingparametricandnonparametricanova
_version_	1718432853580054528

Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA

Ejemplares similares