Palgrave Macmillan

Professional Investment Portfolio Management

Boosting Performance with Machine-Made Portfolios and Stock Market Evidence

  • Book
  • © 2023

Overview

  • Provides new quantitative tools designed for investment professionals
  • Utilizes asset pricing methods and models to analyze data for U.S. stocks, especially the ZCAPM
  • Showcases how to create highly diversified portfolios that are efficient in terms of returns per unit risk
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About this book

Professional investment portfolio management is increasingly utilizing sophisticated statistical and computer techniques to better control risks and improve performance. This book provides new quantitative tools and technology for securities professionals to help boost the performance of their investment portfolios offered to clients. Unlike other books in this area, the authors utilize revolutionary asset pricing methods and models to analyze data for U.S. stocks and show how to apply them to the problem of creating highly diversified portfolios that are efficient in terms of returns per unit risk.



Keywords

Table of contents (13 chapters)

  1. Introduction

  2. Previous Asset Pricing Models

  3. The ZCAPM

  4. Portfolio Performance

  5. Building Stock Portfolios with the ZCAPM

  6. Conclusion

Authors and Affiliations

  • Mays Business School, Texas A&M University, College Station, USA

    James W. Kolari, Wei Liu

  • Departent of Mathematics and Statistics, University of Vaasa, Vaasa, Finland

    Seppo Pynnönen

About the authors

James W. Kolari is the JP Morgan Chase Professor of Finance and Academic Director of the Global Corporate Banking Program in the Department of Finance at Texas A&M University. With more than 100 articles published in refereed journals, numerous other papers and monographs, 20 co-authored books, and more than 200 competitive papers presented at academic conferences, he ranks in the top 1-2 percent of finance scholars in the United States.

Wei Liu holds PhDs in both physics and finance from Texas A&M University. He has worked as a bank analyst for USAA Bank, a former owner and investment manager of a securities firm,  and now teaches finance at Texas A&M University. His research has been published in academic journals and textbooks.

Seppo Pynnönen is a Professor of Statistics at the University of Vaasa, Finland and previously the Chairperson of the Department of Mathematics and Statistics. He has studied financial markets and taught various courses on statistical methodology. With numerous published papers in international finance and statistics journals, he is also the co-author of a recent investment valuation and asset pricing textbook.


Bibliographic Information

  • Book Title: Professional Investment Portfolio Management

  • Book Subtitle: Boosting Performance with Machine-Made Portfolios and Stock Market Evidence

  • Authors: James W. Kolari, Wei Liu, Seppo Pynnönen

  • DOI: https://doi.org/10.1007/978-3-031-48169-7

  • Publisher: Palgrave Macmillan Cham

  • eBook Packages: Economics and Finance, Economics and Finance (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-48168-0Published: 04 February 2024

  • Softcover ISBN: 978-3-031-48171-0Due: 06 March 2024

  • eBook ISBN: 978-3-031-48169-7Published: 03 February 2024

  • Edition Number: 1

  • Number of Pages: XXX, 255

  • Number of Illustrations: 23 b/w illustrations, 51 illustrations in colour

  • Topics: Capital Markets, Investment Appraisal, Business Finance, Risk Management

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