Linear regression model for investment analysis of an oil company

Authors

DOI:

https://doi.org/10.32358/rpd.2015.v1.62

Keywords:

Balance sheet, Investment analysis, Correlation, Linear Regression, Covariance.

Abstract

Changes in global economic environment meant that companies, particularly publicly traded, seek adaptations to global market model, which gives preference to the analysis of stock indicators profitability. In this sense, we carried out a quantitative study, based on data published by Petrobras SA, concerning the balance sheet comprising the period 2009 to 2013. Data analysis was carried out through statistical methods of covariance, correlation and linear regression. Among the findings of the paper, we emphasize that more than prove the good relations between the good historical results, the joint techniques of statistical methods serve as warnings to indicate to managers that something is not going as expected, thus helping the decision to promote a change in internal company policies, specifically in the way of investment allocation.

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Author Biographies

Julio Cesar Ferro de Guimarães, Universidade Potiguar

Doutor em Administração

Eliana Andréa Severo, Faculdade Meridional.

Programa de Pós-Graduação Mestrado em Administração (PPGA).

References

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Published

2015-05-30

How to Cite

Bastos, E. V. P., Guimarães, J. C. F. de, & Severo, E. A. (2015). Linear regression model for investment analysis of an oil company. Revista Produção E Desenvolvimento, 1(1), 77–88. https://doi.org/10.32358/rpd.2015.v1.62

Issue

Vol. 1 No. 1 (2015): JANUARY-APRIL

Section

Management Affairs

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