A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction
The stock market is very unstable and volatile due to several factors such as public
sentiments, economic factors and more. Several Petabytes volumes of data are generated …
sentiments, economic factors and more. Several Petabytes volumes of data are generated …
Decision fusion for stock market prediction: a systematic review
Stock market prediction based on machine or deep learning is an essential topic in the
financial community. Typically, models with different structures or initializations provide …
financial community. Typically, models with different structures or initializations provide …
Long short-term memory network for predicting exchange rate of the Ghanaian cedi
An accurate prediction of the Exchange Rate (ER) serves as the basis for effective financial
management, monetary policies, and long-term strategic decision making worldwide. A …
management, monetary policies, and long-term strategic decision making worldwide. A …
Classification of open-end investment funds using artificial neural networks. The case of Polish equity funds
In this study we utilise artificial neural networks to classify equity investment funds according
to two fundamental risk measures—standard deviation and beta ratio—and to investigate …
to two fundamental risk measures—standard deviation and beta ratio—and to investigate …