Machine Learning for Asset Management

Name: Machine Learning for Asset Management
Brand: Unknown
SKU: 9781786305442
Price: 339.99 NZD
Availability: InStock

New Developments and Financial Applications

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Summary

In Machine Learning for Asset Management, the authors explore the application of machine learning techniques to modern finance. The book delves into strategies for portfolio management, risk assessment, and investment decision-making by leveraging advanced algorithms. Tailored for professionals and academics, it provides insights into the intersection of data science and financial markets.
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Format: Hardback

$339⁹⁹

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Machine Learning for Asset Management

$339⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

If you're fascinated by how machine learning can revolutionise financial strategies and enhance asset management, this book may appeal to you. It blends technical insights with practical applications, making it ideal for those interested in the intersection of technology and finance. Whether you're a professional in the field or a curious entrepreneur, this book offers valuable perspectives on leveraging machine learning for smarter investment decisions.

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.

Machine Learning for Asset Management 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.

Book Details

INFORMATION

ISBN: 9781786305442

Publisher: ISTE Ltd and John Wiley & Sons Inc

Format: Hardback

Date Published: 31 July 2020

Country: United Kingdom

Imprint: ISTE Ltd and John Wiley & Sons Inc

Contributors:

Edited by Emmanuel Jurczenko

Audience: Professional and scholarly

DIMENSIONS

Spine width: 28.0mm

Width: 160.0mm

Height: 236.0mm

Weight: 885g

Pages: 460

Collections

Business & Entrepreneurship Business Leadership & Management Computing & Technology Education & Reference Finance & Economics Finance & Investment Non-Fiction

About the Author

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.