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Terbuka Journal of Economics and Business
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Effect of Dividend Per Share (DPS) and Earning Per Share (EPS) on Stock Prices in Pharmaceutical Sub Sector Companies

Authors: null Tri Humaerah; Abdul Wahab; Zulkifli Sultan;

Effect of Dividend Per Share (DPS) and Earning Per Share (EPS) on Stock Prices in Pharmaceutical Sub Sector Companies

Abstract

This study aims to determine the effect of Dividend Per Share and Earning Per Share on stock prices in pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange. The types of data used in this study are qualitative and quantitative. And the data source used is secondary with a sample size of 4 companies. The analysis method used is multiple linear regression, correlation coefficient test, determination test, F test and t test. The multiple linear regression equation is Y = 787,831 - 2,928 + 8,737. The correlation coefficient R is 0.776 and the coefficient of determination () is 0.602. In the F test, it is obtained that the F-count is 12.878> F-table 3.59 with a significant level of 0.000 <0.05, which means that DPS and EPS together or simultaneously have a significant effect on stock prices. For the t test on the DPS variable t-count = - 0.614 <t-table 2.109 with a significant level of 0.547> from 0.05, it means that DPS has an effect but is not significant on stock prices, while the t test on the EPS variable t-count = 3.328> t- table = 2.109 with a significant level of 0.004 <from 0.05, it means that Earning Per Share has a significant and significant effect on stock prices in pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange. This the first hypothesis proposed in this study is rejected, while the second and third hypotheses are accepted

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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