| 书目名称 | Intelligent Asset Management |
| 编辑 | Frank Xing,Erik Cambria,Roy Welsch |
| 视频video | |
| 概述 | Covers many techniques integrated into the asset allocation models.Presents deep learning and NLP solutions.Includes tips on how to adapt general AI techniques to a specific application and business s |
| 丛书名称 | Socio-Affective Computing |
| 图书封面 |  |
| 描述 | .This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas..In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures..This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.. |
| 出版日期 | Book 2019 |
| 关键词 | text mining; market sentiment; asset allocation; natural language processing; computational finance |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-30263-4 |
| isbn_softcover | 978-3-030-30265-8 |
| isbn_ebook | 978-3-030-30263-4Series ISSN 2509-5706 Series E-ISSN 2509-5714 |
| issn_series | 2509-5706 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 17:08:06
