Portfolio Optimization
eBook - PDF

Portfolio Optimization

  1. 238 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Portfolio Optimization

About this book

Eschewing a more theoretical approach, Portfolio Optimization shows how the mathematical tools of linear algebra and optimization can quickly and clearly formulate important ideas on the subject. This practical book extends the concepts of the Markowitz "budget constraint only" model to a linearly constrained model.

Only requiring elementary linear algebra, the text begins with the necessary and sufficient conditions for optimal quadratic minimization that is subject to linear equality constraints. It then develops the key properties of the efficient frontier, extends the results to problems with a risk-free asset, and presents Sharpe ratios and implied risk-free rates. After focusing on quadratic programming, the author discusses a constrained portfolio optimization problem and uses an algorithm to determine the entire (constrained) efficient frontier, its corner portfolios, the piecewise linear expected returns, and the piecewise quadratic variances. The final chapter illustrates infinitely many implied risk returns for certain market portfolios.

Drawing on the author's experiences in the academic world and as a consultant to many financial institutions, this text provides a hands-on foundation in portfolio optimization. Although the author clearly describes how to implement each technique by hand, he includes several MATLAB® programs designed to implement the methods and offers these programs on the accompanying downloadable resources.

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Yes, you can access Portfolio Optimization by Michael J. Best 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

Edition
1
Subtopic
Finance

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Contents
  5. Preface
  6. Acknowledgments
  7. About the Author
  8. Chapter 1: Optimization
  9. Chapter 2: The Effcient Frontier
  10. Chapter 3: The Capital Asset Pricing Model
  11. Chapter 4: Sharpe Ratios and Implied Risk Free Returns
  12. Chapter 5: Quadratic Programming Geometry
  13. Chapter 6: A QP Solution Algorithm
  14. Chapter 7: Portfolio Optimization with Constraints
  15. Chapter 8: Determination of the Entire Efficient Frontier
  16. Chapter 9: Sharpe Ratios under Constraints, and Kinks
  17. Appendix
  18. References
  19. Index