Financial time series forecasting using neural networks

Abstract

The modeling and prediction of stock prices and exchange rates are very attractive research areas due to their importance in managing and analyzing financial systems and markets. In practice, the well-developed financial models can help governments to develop the better policies and make smarter decisions to stabilize and stimulate economic developments. However, due to the complex and nonlinear properties, the modeling and prediction of financial systems are often extremely difficult and challenging. In recent years, we have been using artificial neural networks to model foreign currency exchange rates and stock prices.