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Machine Learning for Asset Management : New Developments and Financial Applications. 資産管理のための機械学習
・ISBN 978-1-78630-544-2 hard US$ 177.95
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お気に入り
★★★
電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-119-75118-2
| 著者・編者 | Jurczenko, Emmanuel (ed.), |
|---|---|
| 出版社 | (Wiley-ISTE, UK) |
| 出版年月 | 2020 |
| ページ数 | 460 pp. |
| 言語 | ENG |
| ニュース番号 | ＜658-771 658-P2397＞ |
解説
This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.