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- Title
REGRESSIVE MODEL REGARDING THE NECESSARY PROFIT MARGIN FORECAST FOR A NEW PROJECT IN THE CONSTRUCTIONS FIELD.
- Authors
FÜLÖP, Melinda Timea; SZORA TAMAS, Attila; IVAN, Oana Raluca; SOLOVĂSTRU, Alina Nicoleta
- Abstract
Assuming that any entrepreneur starts a new business to make a profit eventually, the authors feel it was necessary to analyze the profit margin that actually indicates the percentage of how profitable the activity of the company is. In order to analyze the evolution of the average profit margin and to forecast it for a new project in the constructions field, the authors applied a regression model based on the monthly statistical data obtained from the entity. Following the data collection, the authors analyzed to what extent the statistical processing leads to a more efficient management of specific operations to execute the project. The outcome of the regression shows a non-uniformity of the activities of the project, which has led to a large variation of the economic indicators, from one month to another or from year to year. As a result, the authors failed to estimate the average profit margin over the entire execution period, nonetheless obtained average estimates for each year separately.
- Subjects
PROFIT margins; CONSTRUCTION projects; STATISTICS; REGRESSION analysis; ECONOMIC indicators; AUTOREGRESSIVE models; EARNINGS forecasting; BOX-Jenkins forecasting
- Publication
Economic Computation & Economic Cybernetics Studies & Research, 2020, Vol 54, Issue 2, p181
- ISSN
0424-267X
- Publication type
Article
- DOI
10.24818/18423264/54.2.20.11