Description: 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.
Price: 140 USD
Location: Matraville, NSW
End Time: 2024-12-04T14:57:45.000Z
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EAN: 9781786305442
UPC: 9781786305442
ISBN: 9781786305442
MPN: N/A
Number of Pages: 460 Pages
Language: English
Publication Name: Machine Learning for Asset Management : New Developments and Financial Applications
Publisher: Wiley & Sons, Incorporated, John
Item Height: 1.1 in
Publication Year: 2020
Subject: Finance / General, Management Science
Item Weight: 31.3 Oz
Type: Textbook
Item Length: 9.3 in
Author: Emmanuel Jurczenko
Subject Area: Business & Economics
Item Width: 6.3 in
Format: Hardcover
