posted on 2024-07-12, 19:23authored byLingkai Xing
Foreign exchange market is one of the most influential and complex financial markets. Due to the complexity of foreign exchange market, the modeling and prediction of FX market is an extremely complex challenge faced by scientists and economists today. In this research, we explore the use of artificial neural networks for modeling and analysing the market with financial big data. Investigations and researches are mainly focusing on developments of structures and training algorithms of neural network models to provide consistent and reliable foreign exchange market predictions for financial planning, decision-making, investment and risk management for financial institutes and governments.
History
Thesis type
Thesis (PhD)
Thesis note
Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy, Swinburne University of Technology, 2019.