Designing the model for evaluating financial quality of business operations – evidence from Croatia Cover Image

Designing the model for evaluating financial quality of business operations – evidence from Croatia
Designing the model for evaluating financial quality of business operations – evidence from Croatia

Author(s): Ana Ježovita
Subject(s): Business Economy / Management, Organizational Psychology, Human Resources in Economy
Published by: Ekonomski fakultet Sveučilišta u Splitu

Summary/Abstract: The main objective of the paper includes designing a model for evaluating the financial quality of business operations. In that context, for the paper purposes, the financial quality of business operations is defined as an ability to achieve adequate value of individual financial ratios for financial position and performance evaluation. The objective of the model is to obtain comprehensive conclusion about the financial quality of business operation using only value of the function. Data used for designing the model is limited to financial data available from the annual balance sheet and income statement. Those limitations offer the opportunity for all sizes of companies from the non-financial business economy sector to use the designed model for evaluation purposes. Statistical methods used for designing the model are multivariate discriminant analysis and logistic regression. Discriminant analysis resulted in the function which includes five individual financial ratios with the best discriminant power. Respecting the results obtained in the classification matrix with classification accuracy of 95.92% by the original sample, or accuracy of 96.06% for the independent sample, it can be concluded that it is possible to evaluate the financial quality of business operations of companies in Croatia by using the model composed of individual financial ratios. Conducted logistic regression confirms the results obtained using discriminant analysis.

  • Issue Year: 20/2015
  • Issue No: 1
  • Page Range: 101-129
  • Page Count: 29
  • Language: English