AN ANALYSIS OF THE INFLUENCE OF PER, NIM AND NPL ON THE STOCK PRICE (CASE STUDY OF PT. BANK PERMATA, TBK)

Abstract

Background of this research is focusing on analyzing the influence between PER, NIM and NPL ratios on the stock price of PT. Bank Permata Tbk in purpose to see whether those ratios have any significance influence and how much the contribution to the stock price. Indonesia as one of the developing country has great opportunities for investors to investing due to its stable and emerging economics. Capital market as one of the fast growing business had attracted many investors to invest in companies. Banks in Indonesia are seen as prospective business to many investors because of their performance and ability to survive in global crisis. Because of this condition the researcher attracted to analysis what are the factors that may affect the company’s stock price. In this study, the researcher will use financial analysis of the company to see whether it has any influence on the stock price. The researcher has selected several ratios that consist of PER, NIM and NPL as the determining factors. From this research, the investor can learn about the relationships between PER, NIM and NPL ratios on stock price and whether it can be used as the determining factors in investing in capital market. Researcher is using multiple regression method using SPSS 16.0 to analyze and interpret the data. The data of this research are the ratios of PER, NIM, and NPL and also the stock price of PT. Bank Permata, Tbk from period 2004 to 2009. The result of this research that stock price of PT. Bank Permata, Tbk is very affected by the PER, NIM and NPL ratios with the result of Coefficient of Correlations (R) is 0.720 which indicates strong correlation between independent and dependent variable, and F test for significant level of 0.000 > 0.05 means simultaneously independent variables have significant influence to dependent variable, and for T-test, it shown that partially all of the independent variables have significant influence to independent variables with 0.000 significant level.