Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Foreign-Exchange-Rate Forecasting With Artificial Neural NetworksISBN13:9780387717197ISBN10:0387717196Author:Yu, Lean (Author), Wang, Shouyang (Author), Lai, Kin Keung (Author)Description:The Foreign Exchange Market Is One Of The Most Complex Dynamic Markets With The Characteristics Of High Volatility, Nonlinearity And Irregularity Since The Bretton Woods System Collapsed In 1970S, The Fluctuations In The Foreign Exchange Market Are More Volatile Than Ever Furthermore, Some Important Factors, Such As Economic Growth, Trade Development, Interest Rates And Inflation Rates, Have Significant Impacts On The Exchange Rate Fluctuation Meantime, These Characteristics Also Make It Extremely Difficult To Predict Foreign Exchange Rates Therefore, Exchange Rates Forecasting Has Become A Very Important And Challenge Research Issue For Both Academic And Ind- Trial Communities In This Monograph, The Authors Try To Apply Artificial Neural Networks (Anns) To Exchange Rates Forecasting Selection Of The Ann Approach For - Change Rates Forecasting Is Because Of Anns' Unique Features And Powerful Pattern Recognition Capability Unlike Most Of The Traditional Model-Based Forecasting Techniques, Anns Are A Class Of Data-Driven, Self-Adaptive, And Nonlinear Methods That Do Not Require Specific Assumptions On The Und- Lying Data Generating Process These Features Are Particularly Appealing For Practical Forecasting Situations Where Data Are Abundant Or Easily Available, Even Though The Theoretical Model Or The Underlying Relationship Is - Known Furthermore, Anns Have Been Successfully Applied To A Wide Range Of Forecasting Problems In Almost All Areas Of Business, Industry And Engineering In Addition, Anns Have Been Proved To Be A Universal Fu- Tional Approximator That Can Capture Any Type Of Complex Relationships Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2007-08-01Weight:1.45 lbsDimensions:0.9'' H x 9.3'' L x 6.1'' WNumber of Pages:316Language:English
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Book Title: Foreign-Exchange-Rate Forecasting With Artificial Neural Net...
Item Length: 9.3in
Item Width: 6.1in
Author: Shouyang Wang, Kin Keung Lai, Lean Yu
Publication Name: Foreign-Exchange-Rate Forecasting with Artificial Neural Networks
Format: Hardcover
Language: English
Publisher: Springer
Series: International Series in Operations Research and Management Science Ser.
Publication Year: 2007
Type: Textbook
Item Weight: 24.1 Oz
Number of Pages: Xxiii, 316 Pages