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Analisis pengaruh profitabilitas dan leverage terhadap harga saham (studi kasus pada Perusahaan Food and Beverages yang Listed di BEJ selama periode tahun 2003-2005)
Journal from JIPTUNMERPP / 2015-04-13 03:12:24
Oleh : Yusaq Tomo Ardianto, Diploma 3 of Banking and Finance Merdeka University Malang
Dibuat : 2007-05-01, dengan file
Keyword : Profitability (REO and ROA), leverage (DER and DR), stock price
This research was limited in the financial management. It was emphasized on analysis of profitability (ROE, ROA) influence and Leverage (DER, DR) toward stock price of Food and beverage companis listed on BEJ in the last years (2003-2005). Sample taken by using purposive sampling method. The use of regression analysis want meant to know the effect of independent variables (ROE, ROA, DER, DR) toward dependent variable (stock price) both individually and as a whole. The result from this research was independent variable as a whole and partial influence the dependent variable. It was refer to the point of F test 7.043 > F table 6,39 (df1= n-k = 5, t test of ROE 3,323 >t table 2,571 or level of significant 0,032 < 0.05, ; t test of ROA -3,618 > t table -2,571 or level of significant 0,022 < 0.05; t test of DR -3,089 > t table -2,571 or level of significant 0,037 < 0.05, and t test of DER 2,698 > t table 2,571 or level of significant 0,054 > 0.05. the classic assumption tes had been multicollinearity, no autocorrelation, no heteroscedasticity and normally data.
This research was limited in the financial management. It was emphasized on analysis of profitability (ROE, ROA) influence and Leverage (DER, DR) toward stock price of Food and beverage companis listed on BEJ in the last years (2003-2005). Sample taken by using purposive sampling method. The use of regression analysis want meant to know the effect of independent variables (ROE, ROA, DER, DR) toward dependent variable (stock price) both individually and as a whole. The result from this research was independent variable as a whole and partial influence the dependent variable. It was refer to the point of F test 7.043 > F table 6,39 (df1= n-k = 5, t test of ROE 3,323 >t table 2,571 or level of significant 0,032 < 0.05, ; t test of ROA -3,618 > t table -2,571 or level of significant 0,022 < 0.05; t test of DR -3,089 > t table -2,571 or level of significant 0,037 < 0.05, and t test of DER 2,698 > t table 2,571 or level of significant 0,054 > 0.05. the classic assumption tes had been multicollinearity, no autocorrelation, no heteroscedasticity and normally data.
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