PENGARUH RETURN ON ASSETS, FIRM SIZE, EARNING PER SHARE, GROWTH, DEBT TO ASSETS RATIO DAN RISIKO BISNIS TERHADAP KEBIJAKAN DIVIDEND PER SHAREPADA PERUSAHAAN YANG TERDAFTAR DI DALAM JAKARTA ISLAMIC INDEX (JII) PERIODE 2011-2014

BAYU PRASETYA PUTRA, NIM. 12390017 (2016) PENGARUH RETURN ON ASSETS, FIRM SIZE, EARNING PER SHARE, GROWTH, DEBT TO ASSETS RATIO DAN RISIKO BISNIS TERHADAP KEBIJAKAN DIVIDEND PER SHAREPADA PERUSAHAAN YANG TERDAFTAR DI DALAM JAKARTA ISLAMIC INDEX (JII) PERIODE 2011-2014. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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	Text (PENGARUH RETURN ON ASSETS, FIRM SIZE, EARNING PER SHARE, GROWTH, DEBT TO ASSETS RATIO DAN RISIKO BISNIS TERHADAP KEBIJAKAN DIVIDEND PER SHAREPADA PERUSAHAAN YANG TERDAFTAR DI DALAM JAKARTA ISLAMIC INDEX (JII) PERIODE 2011-2014) 12390017_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf Restricted to Registered users only Download (817kB)

Abstract

The purpose of this research is to analyze the effect of return on assets, firm size, earning per share, growth, debt to assets ratio and business risk which used as the determining factor to explain the behavior of dividend per share policy and the gap of the result before this is so important to prove. The Samples in this research are 14 companies listed in Jakarta Islamic Index (JII) during the period 2011-2014. The analysis technique is the panel data regression analysis using E-views 8 program. From the result of Chow test and Hausman test is done then the regression testing was done by using fixed effect. The research finds that simultaneous regression of return on assets, firm size, earning per share, growth, debt to assets ratio, and bussines risk are influence on dividend per share policy. While partially, we found three variabeles that affect dividend per share policy that are return on assets, firm size and growth. While variable earning per share, debt to assets ratio and bussines risk have no effect to divided per share policy. The result of the coefficient of determination showed the number of 0.9082, which means that the independent variables are able to explain the dependent variable about to 90.82%

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