Online Portfolio Selection
eBook - PDF

Online Portfolio Selection

Principles and Algorithms

  1. 212 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Online Portfolio Selection

Principles and Algorithms

About this book

With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment.The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that:

  • Introduce OLPS and formulate OLPS as a sequential decision task
  • Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning
  • Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques
  • Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms withthe state of the art
  • Investigate possible future directions

Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB ® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment.Readers are encouraged to visit the authors' website for updates: http://olps.stevenhoi.org.

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Yes, you can access Online Portfolio Selection by Bin Li, Steven Chu Hong Hoi in PDF and/or ePUB format, as well as other popular books in Business & Finance. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2018
eBook ISBN
9781482249644
Edition
1
Subtopic
Finance

Table of contents

  1. Front Cover
  2. Contents
  3. List of Figures
  4. List of Tables
  5. List of Notations
  6. Preface
  7. Acknowledgments
  8. Authors
  9. Part I - Introduction
  10. Part II - Principles
  11. Part III - Algorithms
  12. Part IV - Empirical Studies
  13. Part V - Conclusion
  14. Appendix A - OLPS: AToolbox for Online Portfolio Selection
  15. Appendix B - Proofs and Derivations
  16. Appendix C - Supplementary Data and Portfolio Statistics
  17. Bibliography
  18. Back Cover