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. It explains
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. It explainsHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Michael J. Best is a professor in the Department of Combinatorics and Optimization at the University of Waterloo in Ontario, Canada. He received his Ph.D. from the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. Dr. Best has authored over 37 papers on finance and nonlinear programming and co-authored a textbook on linear programming. He also has been a consultant to Bank of America, Ibbotson Associates, Montgomery Assets Management, Deutsche Bank, Toronto Dominion Bank, and Black Rock-Merrill Lynch.
Inhaltsangabe
Optimization. The Efficient Frontier. The Capital Asset Pricing Model. Sharpe Ratios and Implied Risk-Free Returns. Quadratic Programming Geometry. A QP Solution Algorithm. Portfolio Optimization with Linear Inequality Constraints. Determination of the Entire Efficient Frontier. Sharpe Ratios under Constraints and Kinks. Appendix. References.
Optimization. The Efficient Frontier. The Capital Asset Pricing Model. Sharpe Ratios and Implied Risk-Free Returns. Quadratic Programming Geometry. A QP Solution Algorithm. Portfolio Optimization with Linear Inequality Constraints. Determination of the Entire Efficient Frontier. Sharpe Ratios under Constraints and Kinks. Appendix. References.
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