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Machine Learning for Asset Management
New Developments and Financial Applications
E-Book
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781119751175
Veröffentl:
2020
Einband:
E-Book
Seiten:
460
Autor:
Emmanuel Jurczenko
eBook Typ:
EPUB
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:
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.
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.