Machine Learning for Asset Management: New Developments and Financial Applications
Machine Learning for Asset Management: New Developments and Financial Applications by Emmanuel Jurczenko
English | October 6, 2020 | ISBN: 1786305445 | 460 pages | MOBI | 27 Mb
English | October 6, 2020 | ISBN: 1786305445 | 460 pages | MOBI | 27 Mb
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.
Feel Free to contact me for book requests, informations or feedbacks.
Without You And Your Support We Can’t Continue
Thanks For Buying Premium From My Links For Support
Without You And Your Support We Can’t Continue
Thanks For Buying Premium From My Links For Support