Forecasting Time Series of Financial Indicators Using Artificial Neural Networks

This paper explores the possibility of using several different architectures of artificial neural networks to construct forecasts for financial indicators of a group of countries. The analysis is based on data collected from the World Bank databases, the Financial Development Index, and the United Nations.