Computational Intelligence Techniques for Trading and Investment
By Andreas Karathanasopoulos, Christian Dunis, Georgios Sermpinis, Konstantinos Theofilatos, Spiros Likothanassis | Publisher: Taylor and Francis
About the book
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.
Editions of Computational Intelligence Techniques for Trading and Investment
- EBook
- ISBN 9781136195105
- PDF
- ISBN 9781136195112
Read an Excerpt
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.
Frequently Asked Questions
What is Computational Intelligence Techniques for Trading and Investment about?
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.
What core themes, tropes, or subjects are explored in Computational Intelligence Techniques for Trading and Investment?
Economics, Finance, Business and Management > Economics > Economic forecasting
Where can I read a sample of Computational Intelligence Techniques for Trading and Investment?
You can read an official preview of the few pages here https://www.book2look.com/book/9781136195105
Is Computational Intelligence Techniques for Trading and Investment part of a series, and can it be read as a standalone?
Yes it is a part of series Routledge Advances in Experimental and Computable Economics
Who is/are the Author/s of the book Computational Intelligence Techniques for Trading and Investment?
Andreas Karathanasopoulos, Christian Dunis, Georgios Sermpinis, Konstantinos Theofilatos, Spiros Likothanassis
Who is the Publisher of the book Computational Intelligence Techniques for Trading and Investment?
Taylor and Francis
What are the ISBN numbers for the physical and digital editions?
Computational Intelligence Techniques for Trading and Investment is available as ebook(ISBN 9781136195105) and pdf(ISBN 9781136195112)