Forecasting Exchange Rates with Mixed Models

Keywords

Computer science, Broyden–Fletcher–Goldfarb–Shanno algorithm, Artificial neural network, Autoregressive integrated moving average, Mean squared error

References

• Comparing ANN Based Models with ARIMA for Prediction of Forex RatesJoarder Kamruzzaman, Ruhul Sarker — 2003
• A Tutorial on Neural Networks Using the Broyden-Fletcher-Goldfarb - Shanno (BFGS) Training Algorithm and Molecular Descriptors with Application to the Prediction of Dielectric Constants through the Development of Quantitative Structure Property Relationships (QSPRs)Robert C. Schweitzer, Jeffrey B. Morris — 2000
• Neural Network Models for Time Series ForecastsTim Hill, Marcus O’Connor, William Remus — 1996
• Forecasting exchange rate better with artificial neural networkChakradhara Panda, Venkataraman Narasimhan — 2007
• Surveying stock market forecasting techniques - Part II: Soft computing methodsGeorge S. Atsalakis, Kimon P. Valavanis — 2009
• Conditioning of Quasi-Newton Methods for Function MinimizationDavid F. Shanno — 1970
• Neural network forecasting of the British pound/US dol-lar exchange rateGioqinang Zhang, Michael Y. Hu — 1998
• Time series analysis, forecasting and controlPeter C. Young, S. Shellswell — 1972
• A family of variable-metric methods derived by variational meansDonald Goldfarb — 1970
• The robustness of neural networks for modelling and trading the EUR/USD exchange rate at the ECB fixingChristian L. Dunis, Jason Laws, Georgios Sermpinis — 2009
• The Convergence of a Class of Double-rank Minimization Algorithms 2. The New AlgorithmC. G. Broyden — 1970
• Time series forecasting using neural networksThomas Kolarik, Gottfried Rudorfer — 1994
• A New Approach to Variable Metric AlgorithmsR. Fletcher — 1970
• Handwritten digit recognition by neural networks with single-layer trainingS. Knerr, L. Personnaz, Gérard Dreyfus — 1992
• Using MLP and RBF Neural Networks to Improve thePrediction of Exchange Rate Time Series with ARIMAArash Negahdari Kia — 2012
• ARE FOREIGN EXCHANGE RATES PREDICTABLE? A SURVEY FROM ARTIFICIAL NEURAL NETWORKS PERSPECTIVE *Lean Yu, Shouyang Wang, Wei Huang — 2007
• The convergence of a class of double-rank minimization algorithmsC. G. Broyden — 1970
• Modelling and Trading the EUR / USD Exchange Rate : Do Neural Network Models Perform Better ?C. Dunis, Mark C. Williams — 2002
• Time Series Analysis, Forecasting, and ControlEric R. Ziegel, G. Box, G. Jenkins — 1995
• Foreign Exchange Rates Forecasting with Neural NetworksJingtaoJingtao Yao, Hean-Lee Poh — 1996

Cited by

• Wielowymiarowy obraz ryzyka na giełdach walut kryptograficznychKinga Kądziołka — 2015
• Forecasting directional changes in the FX marketsAmer Bakhach, Edward Tsang, Hamid Jalalian — 2016
• Water demand forecasting: review of soft computing methodsIman Ghalehkhondabi, Ehsan Ardjmand, William A. Young — 2017

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