Quantifying Economic Performance: Forecasting in the Romanian Clothing Industry

Teodora Maria Suciu ()
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Teodora Maria Suciu: “1st of December 1918” University of Alba Iulia, Faculty of Economic Sciences, Romania

Ovidius University Annals, Economic Sciences Series, 2023, vol. XXIII, issue 1, 1083-1093

Abstract: This econometric modeling emphasizes quantifying various economic phenomena, particularly that which is diverse and unpredictable, as it provides important support to managers. Our approach aims to achieve an econometric multiple regression model to analyze economic performance through a case study conducted on a sample of 107 entities in the clothing industry in Romania. We considered Net Profit as a dependent variable and Fixed Assets, Current Assets, Equity, and Number of Employees as independent variables. The 4 hypotheses proposed were measured, tested, and validated using EViews software with multiple linear regression. The results of the model have been validated as econometric, so we believe that they provide useful predictions regarding analysis of the economic performance in the clothing industry in Romania.

Keywords: economic performance; multiple linear regression; sample; forecasting; clothing industry (search for similar items in EconPapers)
JEL-codes: C51 L25 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:xxiii:y:2023:i:1:p:1083-1093

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