Financial markets play an important role on the economical and social organization of
modern society. In these kinds of markets, information is an invaluable asset. However, with …

Foreign exchange rate prediction is an important problem in finance and it attracts many
researchers owing to its complex nature and practical applications. Even though this …

Forecasting stock exchange rates is an important financial problem that is receiving
increasing attention. During the last few years, a number of neural network models and …

Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …

Forex (foreign exchange) is a special financial market that entails both high risks and high
profit opportunities for traders. It is also a very simple market since traders can profit by just …

Obtaining accurate prediction of stock index sig-nificantly helps decision maker to take
correct actions to develop a better economy. The inability to predict fluctuation of the stock …

Artificial intelligence (AI) has grown in presence in asset management and has
revolutionized the sector in many ways. It has improved portfolio management, trading, and …

To alleviate the limitations of statistical based methods of forecasting of exchange rates, soft
and evolutionary computing based techniques have been introduced in the literature. To …

This paper establishes a hybridized intelligent machine learning based currency exchange
forecasting model using Extreme Learning Machines (ELMs) and the Jaya optimization …

Neural networks have been widely used in literature for metamodeling of complex systems
and often outperform their traditional counterparts such as regression-based techniques …