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The linkage between energy resources and economic development is a topic of great interest. Research in this area is also motivated by contemporary concerns about global climate change, carbon emissions fluctuating crude oil prices, and the security of energy supply. The purpose of this research is to develop and apply the machine learning approach to predict gross domestic product (GDP) based on the mix of energy resources. Our results indicate that GDP predictive accuracy can be improved slightly by applying a machine learning approach. [ABSTRACT FROM AUTHOR]

Inflation is one of the most important indicator for economy and markets. Inflation represents a rate of rising of general level of prices for goods and services in regard to the currency falls of purchasing power. Although there many investigation of inflation phenomenon there is still missing gap about the factors analyzing which have influence on inflation. In this paper is applied multiple regression analysis to determine how consumer price index, monetary aggregates, discount rate, exchange rate affect inflation. [ABSTRACT FROM AUTHOR]