Title :
Exchange Rates Forecasting and Comparative Analysis Based on Neural Networks
Author :
Zhang, Wenting ; Li, Hong
Author_Institution :
Sch. of Econ. & Manage., Beihang Univ., Beijing, China
Abstract :
Exchange rates float with non-linear dependence and long-term memory characters, so we choose the neural network tool to forecast it. Based on the previous research work, we use two groups of data at different time-intervals to make forecasting experiments with homogenous neural network model and heterogeneous neural network model. According to the results of the experiments, we make a comparative analysis and find suitable application areas of these two models.
Keywords :
exchange rates; finance; forecasting theory; neural nets; comparative analysis; exchange rates forecasting; heterogeneous neural network model; homogenous neural network model; long-term memory characters; neural network tool; nonlinear dependence; Artificial intelligence; Artificial neural networks; Autoregressive processes; Economic forecasting; Economic indicators; Exchange rates; Mathematical model; Multi-layer neural network; Neural networks; Predictive models;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.572