Neural Network Time Series: Forecasting of Financial Markets
Neural Network Time Series Forecasting of Financial Markets E. Get and download textbook Neural Network Time Series: Forecasting of Financial Markets for free
format hardback language english publication year 09 10 1997 subject management business economics industry subject 2 economics textbooks study guides title nonlinear economic models cross sectional times series and neural network applications author creedy john editor martin vance editor publisher edward elgar pub publication date sep 01 1997 pages 284 binding hardcover dimensions 6 75 wx 9 75 hx 0 75 d isbn 1858986370 subject business economics economics general description a sequel to creed
Michael Azoff The first comprehensive and practical introduction to using neural networks in financial time series forecasting. This practical working guide shows you how to understand, design and profitably use neural network techniques in financial market forecasting. It encompasses:A tutorial introduction to neural networksData preprocessingKey network design issuesRandom walk probability theoryFully specified benchmarks (and code for implementing the benchmarks as pre-trained networks)An overview of futures tradingDiscussion of trading systems and risk managementThe book focuses on the multilayer perception, one of the most powerful and successful network architectures that is used Neural Network Time Series new edition
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Contributors: Deshpande Rohit - Author. Format: Paperback
New Hardcover.
1999 JOURNAL OF COMPUTATIONAL FINANCE interence CHAOS time series NEURAL NETS Title:Journal of Computational Intelligence in Finance Date: January/February 1999 Pagination:48pp Condition: Like new This issue of the technical journal includes articles on - Predicting real estate returns using neural networks - Chaotic prediction applied to financial time series - Neural networks vs. Black–Scholes: An empirical comparison of the pricing accuracy of two fundamentally different option pricing met
Neural Network Time Series Textbook
Michael Azoff The first comprehensive and practical introduction to using neural networks in financial time series forecasting
It encompasses:A tutorial introduction to neural networksData preprocessingKey network design issuesRandom walk probability theoryFully specified benchmarks (and code for implementing the benchmarks as pre-trained networks)An overview of futures tradingDiscussion of trading systems and risk managementThe book focuses on the multilayer perception, one of the most powerful and successful network architectures that is used
