Machine Learning for Asset Management: New Developments and Financial Applications - Rilegato

Rilegato

ISBN 10: 1786305445 ISBN 13: 9781786305442

Casa editrice: Iste/Hermes Science Pub, 2020

Riassunto

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.

Su questo libro

Informazioni sull'autore

Emmanuel JURCZENKO is Director of Graduate Studies and Professor of Finance at Glion Institute of Higher Education, Switzerland. Prior to this, he spent 13 years as Associate Professor of Finance at ESCP-Europe and worked for ABN-AMRO as Head of Quantitative Analysts where he was in charge of quantitative fund selection. His research focuses on portfolio construction in particular on risk budgeting, factor investing and machine learning estimation techniques.

Dettagli dell'edizione

• Editore: Iste/Hermes Science Pub
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1786305445
• ISBN 13: 9781786305442
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 460
• Redattore: Jurczenko Emmanuel
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile