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This study aims to investigate forecasting using the graph method available in statistical assisted software, with the initial basis of multiple regression modeling. This study uses data from 5 of the 7 developing market economies, in addition to Russia and Mexico. The author considers that the 5 countries that are incorporated into emerging market 7 are closely integrated with other countries, especially against other emerging market countries. By capitalizing on market size and integration between countries, the authors empirically estimate the spillovers of this study, using the graph forecasting model to provide additional input and information re-lating to monetary macroeconomics in emerging market countries. The variables used in this study include the money supply in 5 emerging market countries, the inflation rate in the country, the composite stock price index in 5 countries, and the interest rate and expected return in 5 emerging market countries. [19]