【2014】Computational Intelligence Techniques for Trading and Investment
Book 图书名称: Computational Intelligence Techniques for Trading and Investment
Author 作者: Christian Dunis, Spiros Likothanassis, Andreas Karathanasopoulos, Georgios Sermpinis, Konstantinos Theofilatos
Publisher 出版社: Routledge
Page 页数: 238
Publishing Date 出版时间: Mar 4, 2014
Language 语言: English
Size 大小: 3 MB
Format 格式: pdf 文字版
ISBN: 0415636809, 9780415636803
Edition: 第1版 搜索过论坛,没有该文档
Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment.
The book is divided into five parts. The first part introduces the most important computational intelligence and financial trading concepts, while also presenting the most important methodologies from these different domains. The second part is devoted to the application of traditional computational intelligence techniques to the fields of financial forecasting and trading, and the third part explores the applications of artificial neural networks in these domains. The fourth part delves into novel evolutionary-based hybrid methodologies for trading and portfolio management, while the fifth part presents the applications of advanced computational intelligence modelling techniques in financial forecasting and trading.
This volume will be useful for graduate and postgraduate students of finance, computational finance, financial engineering and computer science. Practitioners, traders and financial analysts will also benefit from this book.