PENGARUH MARKET VALUE ADDED (MVA) RETURN ON INVESMENT (ROI), CURRENT RATIO (CR) DAN DEBT TO EQUITY RATIO (DER) TERHADAP HARGA SAHAM SYARIAH PERUSAHAAN PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI INDEKS SAHAM SYARIAH INDONESIA (ISSI) PERIODE 2016-2018

ANA NAILATUR ROHMAH, NIM. 16830012 (2019) PENGARUH MARKET VALUE ADDED (MVA) RETURN ON INVESMENT (ROI), CURRENT RATIO (CR) DAN DEBT TO EQUITY RATIO (DER) TERHADAP HARGA SAHAM SYARIAH PERUSAHAAN PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI INDEKS SAHAM SYARIAH INDONESIA (ISSI) PERIODE 2016-2018. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

This study aims to determine how the influence of Market Value Added (MVA), Return on Investment (ROI), Current Ratio (CR) and Debt to Equity Ratio (DER) on the sharia stock prices of Property and Real Estate companies listed on the Indonesian Syariah Stock Index (ISSI) from 2016 to 2018. This research uses a quantitative approach and the data used are secondary data taken from the official website of the Indonesia Stock Exchange or www.idx.co.id. The sample in this study consisted of 40 companies that consistently registered at ISSI for 3 consecutive years, namely from 2016 to 2018. The sampling technique used purposive sampling as a sampling method. The method used is panel data regression analysis with the help of the Eviews 10 program to obtain a comprehensive picture of the relationship between one variable with another variable. Hypothesis testing conducted is a simultaneous test (F test), partial test (t test) and the coefficient of determination or Adjusted R2, F test results show that the simultaneous variables of MVA, ROI, CR and DER significantly influence the price of sharia shares with a significant value of 0,000. Partial test results (t test) showed that the CR and DER variables had no significant effect on sharia stock prices, while the MVA and ROI variables had a positive and significant effect on sharia stock prices. Adjusted R2 determination coefficient of 0.9255 or 92.55%, which means that the four independent variables can explain the dependent variable, while the rest) 100% - 92-55% = 7.45%) is influenced by other variables not included in the model regression equation.

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