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Determinants of RoE of S&P BSE Sensex Companies : A Panel Data Analysis


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1 Assistant Professor - Finance, SDM Institute for Management Development, Mysuru - 570 011, Karnataka, India

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The present study analyzed the determinants of RoE (return on equity) for a sample of 22 companies drawn from S&P BSE Sensex in India for a period of 6 years. The study found that on an average, companies gave a RoE of 19.7% and RoA (return on assets) of 16.4% to the shareholders and investors in total during the period of study. The average equity multiplier (EM) was 1.434 which shows that companies had used significant amount of debt to finance the purchase of assets. The study demonstrated that a fixed effect panel data analysis is much better than the pooled OLS regression results to explain variation in RoE. RoE is not only influenced significantly by RoA, but also by company specific characteristics which the conventional model fails to capture. Hausman test was run to decide on whether a fixed effect model or random effect model will be suited for the analysis. Wald c2 test suggested that a panel data model is a better explanatory model than pooled OLS model. The study also provides directions for future research.

Keywords

RoE, RoA, EM, Pooled OLS Regression, Panel Data, Fixed Effects, Random Effects.

JEL Classification : G0, G1,G3

Paper Submission Date: July 24, 2018; Paper sent back for Revision: August 16, 2018; Paper Acceptance Date: August 22, 2018

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  • Determinants of RoE of S&P BSE Sensex Companies : A Panel Data Analysis

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Authors

M. Sriram
Assistant Professor - Finance, SDM Institute for Management Development, Mysuru - 570 011, Karnataka, India

Abstract


The present study analyzed the determinants of RoE (return on equity) for a sample of 22 companies drawn from S&P BSE Sensex in India for a period of 6 years. The study found that on an average, companies gave a RoE of 19.7% and RoA (return on assets) of 16.4% to the shareholders and investors in total during the period of study. The average equity multiplier (EM) was 1.434 which shows that companies had used significant amount of debt to finance the purchase of assets. The study demonstrated that a fixed effect panel data analysis is much better than the pooled OLS regression results to explain variation in RoE. RoE is not only influenced significantly by RoA, but also by company specific characteristics which the conventional model fails to capture. Hausman test was run to decide on whether a fixed effect model or random effect model will be suited for the analysis. Wald c2 test suggested that a panel data model is a better explanatory model than pooled OLS model. The study also provides directions for future research.

Keywords


RoE, RoA, EM, Pooled OLS Regression, Panel Data, Fixed Effects, Random Effects.

JEL Classification : G0, G1,G3

Paper Submission Date: July 24, 2018; Paper sent back for Revision: August 16, 2018; Paper Acceptance Date: August 22, 2018




DOI: https://doi.org/10.17010/ijf%2F2018%2Fv12i9%2F131564