Applications of computational intelligence in data-driven trading
"The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in...
| Format: | eBook |
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| Language: | Inglés |
| Published: |
Hoboken, N.J.:
Wiley
c2020.
Hoboken, New Jersey : [2020] |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849116906719 |
| Summary: | "The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in Computational Finance. Readers will learn modern methods used by financial engineers and quantitative analysts to access, process, and interpret data. Throughout, there are case studies that are representative of relevant problems in modern finance. Topics covered include Time Series analysis, forecasting, Dynamic Programming, and Neural Networks"-- |
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| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 online resource (303 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119550518 9781119550525 |
