IDEAS home Printed from
   My bibliography  Save this article

A Quantitative Approach To Profitability Ratios


  • Consuela DICU

    () (Faculty of Economics and Law, University of Pitesti, Romania)

  • Maria Daniela BONDOC

    () (Faculty of Economics and Law, University of Pitesti, Romania)

  • Mihaela Bianca POPESCU

    () (Faculty of Economics and Law, University of Pitesti, Romania)


The main objective of this paper was represented by the analysis of the performances reflected by the rates of profitability in the case of three companies in the milling and bakery sector. We carried out econometric processing for which we used the linear and the second-order regression functions. The intensity and type of the correlations between the variables were highlighted, by analysing the rates of economic, financial and commercial profitability in correlation with the factors of influence in the case of three companies in the milling and bakery sector. At the same time, through the results we obtained, we were able to make comparisons between the three analyzed companies. Statistical tests were used to verify the econometric models: Durbin Watson, Student (t), Fisher–Snedecor, X2.

Suggested Citation

  • Consuela DICU & Maria Daniela BONDOC & Mihaela Bianca POPESCU, 2019. "A Quantitative Approach To Profitability Ratios," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 18(1), pages 57-65.
  • Handle: RePEc:pts:journl:y:2019:i:1:p:57-65

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Performance; Profitability; Correlation; Statistical tests.;

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance


    Access and download statistics


    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:pts:journl:y:2019:i:1:p:57-65. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Logica Banica). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.