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Abstract

The study was using constructing Multiple Linier Regression analysis and an Ordinary Least Square, hypotheses testing which is will be proved by using t-statistic and f statistic with level of significance 5%. Determination of Coefficients (R2), and MultiCollinearity also provided based analysis in order to test the hypotheses.

The result of regression equation is Stock Price = -227,9513+ 7,467036EPS - 14,61056NPM + 51,25182ROA + 6,73925DER. Based on the analysis above, the result of partial hypothesis test (t-test) showed that EPS has a positive influence to ward the Stock Price. The study also found if NPM does not ability to impact to ward the Stock Price, partially along with ROA and DER does not have any ability to explain the Stock Price partially. The result of simultaneous hypothesis test (F-test) showed that the EPS, NPM, ROA, and DER has a positive influence to ward the Stock Price with a significance level of significance 0,000005.

The value of adjusted R2 in regression models obtained 0,687440. These statements show that the major effect of independent variables (EPS, NPM, ROA, and DER) simultaneously can be contributed to the Stock Price by 68,7440%, while the remaining of 0,31256% were influenced by other factors.

Keywords

Earning Per Share (EPS) Net Profit Margin (NPM) Return On Asset (ROA) Debt To Equity Ratio (DER) Stock Price

Article Details

Author Biography

Adek Rutika, STIE-IBEK Sekolah Akuntansi

Mahasiswa Prodi Akuntansi

STIE-IBEK PANGKALPINANG

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