Ebook: Machine Learning for Asset Management: New Developments and Financial Applications
Author: Emmanuel Jurczenko (editor)
- Publisher: Wiley-ISTE
- Language: English
- epub
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.
Download the book Machine Learning for Asset Management: New Developments and Financial Applications for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)