Neural Networks for Economic and Financial Modelling

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  • Author : Andrea Beltratti
  • Publisher : Thomson Learning
  • Pages : 287 pages
  • ISBN :
  • Rating : /5 from reviews
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Download or Read online Neural Networks for Economic and Financial Modelling full in PDF, ePub and kindle. this book written by Andrea Beltratti and published by Thomson Learning which was released on 22 April 1996 with total page 287 pages. We cannot guarantee that Neural Networks for Economic and Financial Modelling book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. The field of economics and finance is one of the few areas where the need for neural network applications is increasing. This book investigates the use of neural networks in developing real-world applications to help economists and financial strategists predict the movement of the markets.

Neural Networks for Economic and Financial Modelling

Neural Networks for Economic and Financial Modelling
  • Author : Andrea Beltratti,Sergio Margarita,Pietro Terna
  • Publisher : Thomson Learning
  • Release : 22 April 1996
GET THIS BOOK Neural Networks for Economic and Financial Modelling

The field of economics and finance is one of the few areas where the need for neural network applications is increasing. This book investigates the use of neural networks in developing real-world applications to help economists and financial strategists predict the movement of the markets.

Artificial Higher Order Neural Networks for Economics and Business

Artificial Higher Order Neural Networks for Economics and Business
  • Author : Zhang, Ming
  • Publisher : IGI Global
  • Release : 31 July 2008
GET THIS BOOK Artificial Higher Order Neural Networks for Economics and Business

"This book is the first book to provide opportunities for millions working in economics, accounting, finance and other business areas education on HONNs, the ease of their usage, and directions on how to obtain more accurate application results. It provides significant, informative advancements in the subject and introduces the HONN group models and adaptive HONNs"--Provided by publisher.

New Operational Approaches for Financial Modelling

New Operational Approaches for Financial Modelling
  • Author : Constantin Zopounidis
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK New Operational Approaches for Financial Modelling

th This book is devoted to the 19 Meeting of the EURO Working Group on Financial Modelling, held in Chania, Crete, Greece,November28-30, 1996. The EURO Working Group on Financial Modelling was founded in September 1986 in Lisbon. The primary field of interest for the Working Group can be described as "the development of financial models that help to solve problems facedby financial managers in the firm". From this point of view, the following objectivesof the Working Group are distinguished: • providing an

Neural Networks and the Financial Markets

Neural Networks and the Financial Markets
  • Author : Jimmy Shadbolt
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Neural Networks and the Financial Markets

This volume looks at financial prediction from a broad range of perspectives. It covers: - the economic arguments - the practicalities of the markets - how predictions are used - how predictions are made - how predictions are turned into something usable (asset locations) It combines a discussion of standard theory with state-of-the-art material on a wide range of information processing techniques as applied to cutting-edge financial problems. All the techniques are demonstrated with real examples using actual market data,

System Dynamics in Economic and Financial Models

System Dynamics in Economic and Financial Models
  • Author : C. Heij,Christiaan Heij,Hans Schumacher,Bernard Hanzon,Kees Praagman
  • Publisher : John Wiley & Son Limited
  • Release : 05 December 1997
GET THIS BOOK System Dynamics in Economic and Financial Models

System Dynamics in Economic and Financial Models Edited by Christiaan Heij, Hans Schumacher, Bernard Hanzon and Kees Praagman System Dynamics in Economic and Financial Models discusses different approaches for dynamic modelling of economic and financial data, and includes empirical applications, particularly in finance and macroeconomics, to illustrate the methods discussed. Written by leading experts from a wide range of backgrounds, varying from econometries and finance to systems and control, each chapter is followed by a comments section that presents alternative

Data Mining III

Data Mining III
  • Author : A. Zanasi
  • Publisher : Wit Pr/Computational Mechanics
  • Release : 22 April 2021
GET THIS BOOK Data Mining III

Data mining brings together techniques from machine learning, pattern recognition, statistics, databases, linguistics and visualization in order to extract information from large databases. Originally principally concerned with behavioural applications, such as the understanding of customer behaviour, its scope has now been widened with the introduction of Text Mining techniques. Areas now encompassed by data mining include military, market, and competitive intelligence applications, taxonomies and internet search techniques, and knowledge management applications.

Wavelet Neural Networks

Wavelet Neural Networks
  • Author : Antonios K. Alexandridis,Achilleas D. Zapranis
  • Publisher : John Wiley & Sons
  • Release : 05 May 2014
GET THIS BOOK Wavelet Neural Networks

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the statistical model identification framework that is needed to successfully apply wavelet networks as well as extensive comparisons of alternate methods. Providing a concise and rigorous treatment for constructing optimal wavelet networks, the book links mathematical aspects of wavelet network construction to statistical modeling and forecasting applications in areas such as finance, chaos, and classification. The authors

Neural Networks in Finance

Neural Networks in Finance
  • Author : Paul D. McNelis
  • Publisher : Academic Press
  • Release : 22 April 2021
GET THIS BOOK Neural Networks in Finance

This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and