Efficient prediction of exchange rates with low complexity artificial neural network models
- 31 January 2009
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 36 (1), 181-189
- https://doi.org/10.1016/j.eswa.2007.09.005
Abstract
No abstract availableThis publication has 15 references indexed in Scilit:
- A fusion model of HMM, ANN and GA for stock market forecastingExpert Systems with Applications, 2007
- Neural network approach to forecasting of quasiperiodic financial time seriesEuropean Journal of Operational Research, 2006
- A new hybrid data mining technique using a regression case based reasoning: Application to financial forecastingExpert Systems with Applications, 2006
- Artificial neural networks with evolutionary instance selection for financial forecastingExpert Systems with Applications, 2006
- Forecasting stock market movement direction with support vector machineComputers & Operations Research, 2005
- Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spikeExpert Systems with Applications, 2005
- Genetic-based fuzzy models: Interest rate forecasting problemComputers & Industrial Engineering, 1997
- Statistical study of foreign exchange rates, empirical evidence of a price change scaling law, and intraday analysisJournal of Banking & Finance, 1990
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987
- A globally convergent adaptive predictorAutomatica, 1981