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Machine Learning for Asset Management

Emmanuel Jurczenko
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      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.
      Format: Hardback CONTRIBUTORS: Emmanuel Jurczenko EAN: 9781786305442 COUNTRY: United Kingdom PAGES: WEIGHT: 885 g HEIGHT: 236 cm
      PUBLISHED BY: ISTE Ltd and John Wiley & Sons Inc DATE PUBLISHED: 2020-07-31 CITY: GENRE: BUSINESS & ECONOMICS / General WIDTH: 160 cm SPINE:

      Book Themes:

      Finance and the finance industry, Management and management techniques, Machine learning

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      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.
      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.
      Format: Hardback CONTRIBUTORS: Emmanuel Jurczenko EAN: 9781786305442 COUNTRY: United Kingdom PAGES: WEIGHT: 885 g HEIGHT: 236 cm
      PUBLISHED BY: ISTE Ltd and John Wiley & Sons Inc DATE PUBLISHED: 2020-07-31 CITY: GENRE: BUSINESS & ECONOMICS / General WIDTH: 160 cm SPINE:

      Book Themes:

      Finance and the finance industry, Management and management techniques, Machine learning

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      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.

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