Accounting Based Return Analysis of Selected Fuel and Power Sector Companies in Bangladesh

Authors

  • Shamem Ara Mili Comilla University
  • Md. Abdus Sabur Islamic University
  • Md. Nazrul Islam Comilla University

DOI:

https://doi.org/10.18034/ajtp.v6i2.349

Keywords:

Accounting Based Return, Fuel and Power Sector Companies, Growth Rate, Multiple Correlation Analysis, Multiple Regression Analysis

Abstract

The present study is an attempt to explore the contemporary profitability status of 5 (five) selected fuel and power sector companies enlisted in DSE, Bangladesh and the interrelationship between sales based returns (GPM, OPM, and NPM) and investment based returns (ROA and ROE) over the period of 2012 to 2016 for the same companies. Using descriptive statistics the present study has found that the profitability position of the sample companies is satisfactory, multiple correlation analysis revealed that there is a positive association between sales based returns and ROA whereas negative association between sales based returns and ROE, and the multiple regression analysis showed that 97.70 percent variance is explained by the predictors OPM, ROA, and ROE of the dependent variable OABR (overall accounting based return) in the selected fuel and power sector companies of Bangladesh.

 

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Author Biographies

Shamem Ara Mili, Comilla University

Assistant Professor, Department of Accounting and Information Systems, Comilla University, Comilla, BANGLADESH

Md. Abdus Sabur, Islamic University

Professor, Department of Accounting and Information Systems, Islamic University, Kushtia, BANGLADESH

Md. Nazrul Islam, Comilla University

Associate Professor, Department of Accounting and Information Systems, Comilla University, Comilla, BANGLADESH

References

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Published

2019-08-31

How to Cite

Mili, S. A. ., Sabur, M. A. ., & Islam, M. N. . (2019). Accounting Based Return Analysis of Selected Fuel and Power Sector Companies in Bangladesh. American Journal of Trade and Policy, 6(2), 67–70. https://doi.org/10.18034/ajtp.v6i2.349

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Section

Research Articles