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This study aims to examine the effect of the exchange rate (ER), the money supply (M2) and interest rates (IR) to the composite stock price index (CSPI). The data used are monthly data from January 2010 to December 2017 and data collected from Bank Indonesia. In processing data using the Vector Auto Regression (VAR) method. From the results of this study it can be found that there is no reciprocal relationship between variables, but there is a one-way relationship between these variables. The variable that has the biggest contribution to the composite stock price index variable is the variable itself in Lag 1. There is a positive and significant relationship between each variable and there is also a negative and significant effect between each variable.

Effect of Macroeconomic Factors on the Composite Stock Price Index Using the Vector Auto Regression (VAR) Method