PENGARUH TINGKAT INFLASI, BI-7 DAY REVERSE REPO RATE LABA BERSIH DAN FIRM SIZE TERHADAP HARGA SAHAM PADA INDUSTRI SUB SEKTOR KOSMETIK DAN KEPERLUAN RUMAH TANGGA YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2016-2020

Diah Puspita Sari, Diah Puspita Sari (2022) PENGARUH TINGKAT INFLASI, BI-7 DAY REVERSE REPO RATE LABA BERSIH DAN FIRM SIZE TERHADAP HARGA SAHAM PADA INDUSTRI SUB SEKTOR KOSMETIK DAN KEPERLUAN RUMAH TANGGA YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2016-2020. skripsi thesis, Universitas Batanghari.

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Abstract

ABSTRACT DIAH PUSPITA SARI/ 1800861201147/ FAKULTY OF ECONOMICS / FINANCIAL MANAGEMENT/ , INFLUENCE OF INFLATION RATE, BI-7 DAY REVERSE REPO RATE, NET PROFIT AND FIRM SIZE ON STOCK PRICES OF THE COSMETICS AND HOUSEHOLD GOODS SUB-SECTORS INDUSTRY REGISTERED AT BURSA EFEK INDONESIA PERIOD 2016-2020/ ADVISOR 1 Dr. ALI AKBAR, SE . MM , CRP DAN ADVISOR 2 FADIL ISKANDAR SE. M.M. This study aims to describe the formulation of the problem that has been designed,Namely to analyzed the effect of Inflation Rate, BI-7 Day Reverse Repo Rate, Net Profit and Firm Size simultaneously and partially on stock prices during 2016-2020. The type of data used in this study is data secondary quantitative about financial statements. The data analysis methot used in this research is quantitative analysis. Quantitative analysis method is a form of analysys that uses statistical assistance in research to help calculate numbers with the aim of analyzing the data obtained. Methods the analysis carried out in this study used the stastical packagebfor social science (SPSS) program. Based on the Simultaneous test of the Inflation Rate, BI-7 Day Reverse Repo Rate, Net Profit and Firm Size, it can be concluded simultaneously that the independent variables based on the cosmetics & Household Needs sun-sector have a significant effect on stock prices. Based on the Partial test of the Inlfation Rate variable and BI-7 Day Reverse Repo rate have no significant effect on stoct prices, while the variable of Net Profit and Firm Size have a significant effect on stock prices. The result of the coefficient of determination in this study indicate that R Square is 0,331, which means that the contribution of the independent variable affects the dependent variable in this study (0,331x100=33,1%).

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