Foreign-Exchange-Rate Forecasting With Artificial Neural Networks
by Lean Yu, Shouyang Wang, Kin Keung Lai
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.
Year of publication: |
2007
|
---|---|
Authors: | Yu, Lean |
Other Persons: | Wang, Shouyang (contributor) ; Lai, Kin Keung (contributor) |
Publisher: |
Boston, MA : Springer US |
Subject: | Wechselkurs | Exchange rate | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Theorie | Theory | Wechselkursänderung | Operations Research | Neuronales Netz |
Description of contents: | Table of Contents [swbplus.bsz-bw.de] ; Description [swbplus.bsz-bw.de] ; Description [swbplus.bsz-bw.de] ; Description [zbmath.org] |
Saved in:
Online Resource
Buchausg. u.d.T.:
Foreign-exchange-rate forecasting using artificial neural networks. - New York, NY : Springer, 2007. - XXIII, 313 S.
Persistent link: https://www.econbiz.de/10013522719
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