Energy Prices and the Financial Performance of Different Industries in Pakistan

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Qamar Rasheed
Qamar Rasheed
1 The University of Lahore

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The study conducted to analyze the influence of energy prices on the financial performance of large-scale manufacturing industries listed in Pakistan Stock Exchange over the period of 2007 to 2016. The financial indicators namely, return on equity, return on asset and profit margin ratio are used as dependent variables while exchange rate is used as control variable. This research used five different industrial sectors of Pakistan namely textile sector, cement sector, sugar sector, automobile assembling sector, and pharmaceutical sector. The population consisted of 170 companies however only 67 companies included in the sample of the study based on availability and accessibility of the data. The panel regression method employed for each sector of the study separately. The fixed effect estimator and random effect estimator applied to each sector of the study along with key financial indicators separately.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Qamar Rasheed. 2019. \u201cEnergy Prices and the Financial Performance of Different Industries in Pakistan\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 19 (GJMBR Volume 19 Issue C3): .

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GJMBR Volume 19 Issue C3
Pg. 17- 29
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Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

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GJMBR-C Classification: JEL Code: E44
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v1.2

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April 15, 2019

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The study conducted to analyze the influence of energy prices on the financial performance of large-scale manufacturing industries listed in Pakistan Stock Exchange over the period of 2007 to 2016. The financial indicators namely, return on equity, return on asset and profit margin ratio are used as dependent variables while exchange rate is used as control variable. This research used five different industrial sectors of Pakistan namely textile sector, cement sector, sugar sector, automobile assembling sector, and pharmaceutical sector. The population consisted of 170 companies however only 67 companies included in the sample of the study based on availability and accessibility of the data. The panel regression method employed for each sector of the study separately. The fixed effect estimator and random effect estimator applied to each sector of the study along with key financial indicators separately.

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Energy Prices and the Financial Performance of Different Industries in Pakistan

Qamar Rasheed
Qamar Rasheed The University of Lahore

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