Foreign-Exchange-Rate Forecasting with Artificial Neural Networks.pdf

Foreign-Exchange-Rate Forecasting with Artificial Neural Networks true
By:Lean Yu,Shouyang Wang,Kin Keung Lai
Published on 2007-08-02 by Springer Science & Business Media

The book focuses on forecasting foreign exchange rates via artificial neural networks. It creates and applies the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange-rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges. Foreign Exchange Rate Forecasting with Artificial Neural Networks is targeted at both the academic and practitioner audiences. Managers, analysts and technical practitioners in financial institutions across the world will have considerable interest in the book, and scholars and graduate students studying financial markets and business forecast will also have considerable interest in the book. The book discusses the most important advances in foreign-exchange-rate forecasting and then systematically develops a number of new, innovative, and creatively crafted neural network models that reduce the volatility and speculative risk in the forecasting of foreign exchange rates. The book discusses and illustrates three general types of ANN models. Each of these model types reflect the following innovative and effective characteristics: (1) The first model type is a three-layer, feed-forward neural network with instantaneous learning rates and adaptive momentum factors that produce learning algorithms (both online and offline algorithms) to predict foreign exchange rates. (2) The second model type is the three innovative hybrid learning algorithms that have been created by combining ANNs with exponential smoothing, generalized linear auto-regression, and genetic algorithms. Each of these three hybrid algorithms has been crafted to forecast various aspects synergetic performance. (3) The third model type is the three innovative ensemble learning algorithms that combining multiple neural networks into an ensemble output. Empirical results reveal that these creative models can produce better performance with high accuracy or high efficiency.

This Book was ranked at 18 by Google Books for keyword Forecasting.

Book ID of Foreign-Exchange-Rate Forecasting with Artificial Neural Networks's Books is nvQ5xfU0LVwC, Book which was written byLean Yu,Shouyang Wang,Kin Keung Laihave ETAG "rN9A0BNuh34"

Book which was published by Springer Science & Business Media since 2007-08-02 have ISBNs, ISBN 13 Code is 9780387717197 and ISBN 10 Code is 0387717196

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Book which have "313 Pages" is Printed at BOOK under CategoryBusiness and Economics

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