Abstract

This study aims to determine the effect of inflation, interest rates, and exchange rates on the Composite Stock Price Index (CSPI). The type of research used is descriptive research, with a quantitative approach. This study took all time series data includingInflation, Interest Rates, Exchange Rates and the Composite Stock Price Index (JCI) from 2018 to 2023. The number of research samples obtained was 60 samples. The data analysis used is multiple linear regression analysis using SPSS 27.0. The results of this study indicate that the coefficient of determination (R2) value is 0.404, which means that the independent variable affects the dependent variable by 40.4% and the remaining 59.6% is influenced by other variables outside this study. The results of the F test showthat the independent variables of inflation, interest rates, and exchange rates simultaneously affect the Composite Stock Price Index (CSPI). The results of the t test show that the inflation variable partially has a positive effect on the Composite StockPrice Index (CSPI) while the interest rate and exchange rate variables have a negative effect on the Composite Stock Price Index (CSPI).

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