IDEAS home Printed from https://ideas.repec.org/a/vrs/organi/v53y2020i1p80-90n6.html
   My bibliography  Save this article

Dependency Analysis Between Various Profit Measures and Corporate Total Assets for Visegrad Group’s Business Entities

Author

Listed:
  • Svabova Lucia

    (University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of Economics, Univerzitna 1, 010 26 Zilina, Slovakia)

  • Valaskova Katarina

    (University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of Economics, Univerzitna 1, 010 26 Zilina, Slovakia)

  • Durana Pavol

    (University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of Economics, Univerzitna 1, 010 26 Zilina, Slovakia)

  • Kliestik Tomas

    (University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of Economics, Univerzitna 1, 010 26 Zilina, Slovakia)

Abstract

Background and Purpose: Models of identifying and predicting earnings management in companies by using accruals are in general based on the dependence between total assets of companies and various profit measures. In this paper, we focused on an initial dependency analysis between these business indicators in the Visegrad group’s business entities. We explore the mentioned relationships, verify, and quantify the strength of the dependencies between earnings levels of companies (in terms of economic evaluation of the return on business capital in absolute terms) and the value of their total assets (i.e. business capital tied in the assets without its further classification and analysis).Methodology: We use descriptive statistics as well as a correlation analysis based on the real business data on almost 300 thousand companies in the V4 countries from the Amadeus database, covering the period from 2013 to 2017. Finally, we use a comparative analysis to identify disproportion among the results that were found out for each of the analysed countries.Results: The analysis showed that Slovak companies have the average values of profit measures and total assets comparable to Hungarian companies. Czech and Polish companies have several times higher average values of profit measures and also of total assets than Slovak and Hungarian companies. The analysis of the development of the profit measures and the total assets of the companies over the years showed significant differences across the four countries during the period covered by this study.Conclusion: The analysis of relationships between total assets of the companies and their profit measures showed that the strength of these dependencies among countries is very similar, and over the years, these results did not change. The results of this study can be further used in the creation of the earnings management model in enterprises, both in Slovakia and in other V4 countries.

Suggested Citation

  • Svabova Lucia & Valaskova Katarina & Durana Pavol & Kliestik Tomas, 2020. "Dependency Analysis Between Various Profit Measures and Corporate Total Assets for Visegrad Group’s Business Entities," Organizacija, Sciendo, vol. 53(1), pages 80-90, February.
    • Handle: RePEc:vrs:organi:v:53:y:2020:i:1:p:80-90:n:6
    DOI: 10.2478/orga-2020-0006
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/orga-2020-0006
    Download Restriction: no
    File URL: https://libkey.io/10.2478/orga-2020-0006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tomas Kliestik & Alena Novak Sedlackova & Martin Bugaj & Andrej Novak, 2022. "Stability of profits and earnings management in the transport sector of Visegrad countries," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 475-509, June.
    2. Pavol Durana & Erika Kovalova & Roman Blazek & Klaudia Bicanovska, 2025. "Business Efficiency: Insights from Visegrad Four Before, During, and After the COVID-19 Pandemic," Economies, MDPI, vol. 13(2), pages 1-36, January.
    3. Martin Bugaj & Pavol Durana & Roman Blazek & Jakub Horak, 2023. "Industry 4.0: Marvels in Profitability in the Transport Sector," Mathematics, MDPI, vol. 11(17), pages 1-23, August.
    4. Pavol Durana & Katarina Valaskova & Roman Blazek & Jozef Palo, 2022. "Metamorphoses of Earnings in the Transport Sector of the V4 Region," Mathematics, MDPI, vol. 10(8), pages 1-14, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:organi:v:53:y:2020:i:1:p:80-90:n:6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.