Efficient Asset Management: A Practical Guide to Stock Portfolio Optimization and Asset Allocation by Richard O. Michaud

Efficient Asset Management: A Practical Guide to Stock Portfolio Optimization and Asset Allocation

byRichard O. Michaud, Robert O. Michaud

Hardcover | February 21, 2008

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In spite of theoretical benefits, Markowitz mean-variance (MV) optimized portfolios often fail to meet practical investment goals of marketability, usability, and performance, prompting many investors to seek simpler alternatives. Financial experts Richard and Robert Michaud demonstrate thatthe limitations of MV optimization are not the result of conceptual flaws in Markowitz theory but unrealistic representation of investment information. What is missing is a realistic treatment of estimation error in the optimization and rebalancing process.The text provides a non-technical review of classical Markowitz optimization and traditional objections. The authors demonstrate that in practice the single most important limitation of MV optimization is oversensitivity to estimation error. Portfolio optimization requires a modern statisticalperspective. Efficient Asset Management, Second Edition uses Monte Carlo resampling to address information uncertainty and define Resampled Efficiency (RE) technology. RE optimized portfolios represent a new definition of portfolio optimality that is more investment intuitive, robust, and provablyinvestment effective. RE rebalancing provides the first rigorous portfolio trading, monitoring, and asset importance rules, avoiding widespread ad hoc methods in current practice.The Second Edition resolves several open issues and misunderstandings that have emerged since the original edition. The new edition includes new proofs of effectiveness, substantial revisions of statistical estimation, extensive discussion of long-short optimization, and new tools for dealing withestimation error in applications and enhancing computational efficiency. RE optimization is shown to be a Bayesian-based generalization and enhancement of Markowitz's solution. RE technology corrects many current practices that may adversely impact the investment value of trillions of dollars undercurrent asset management. RE optimization technology may also be useful in other financial optimizations and more generally in multivariate estimation contexts of information uncertainty with Bayesian linear constraints.Michaud and Michaud's new book includes numerous additional proposals to enhance investment value including Stein and Bayesian methods for improved input estimation, the use of portfolio priors, and an economic perspective for asset-liability optimization. Applications include investment policy,asset allocation, and equity portfolio optimization. A simple global asset allocation problem illustrates portfolio optimization techniques. A final chapter includes practical advice for avoiding simple portfolio design errors.With its important implications for investment practice, Efficient Asset Management's highly intuitive yet rigorous approach to defining optimal portfolios will appeal to investment management executives, consultants, brokers, and anyone seeking to stay abreast of current investment technology.Through practical examples and illustrations, Michaud and Michaud update the practice of optimization for modern investment management.This edition includes a CD that contains a demo of the patented, internet-based optimization software created by the authors at their consulting firm, New Frontier Advisors.

About The Author

Richard O. Michaud is President and Chief Investment Officer at New Frontier Advisors. His research and consulting has focused on asset allocation, investment strategies, global investment management, optimization, stock valuation, portfolio analysis, and trading costs. He is co-inventor and patentee of Resampled Efficiency optimizatio...

Details & Specs

Title:Efficient Asset Management: A Practical Guide to Stock Portfolio Optimization and Asset AllocationFormat:HardcoverDimensions:144 pages, 9.25 × 6.13 × 0.98 inPublished:February 21, 2008Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195331915

ISBN - 13:9780195331912

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Extra Content

Table of Contents

PrefaceAcknowledgements1. Introduction2. Classic Mean-Variance Optimization3. Traditional Criticisms and Alterations4. Unbounded MV Portfolio Efficiency5. Linear Constrained MV Efficiency6. The Resampled Efficient Frontier(TM)7. Portfolio Rebalancing, Analysis, and Monitoring8. Input Estimation and Stein Estimators9. Benchmark Mean-Variance Optimization10. Investment Policy and Economic Liabilities11. Bayes and Active Return Estimation12. Avoiding Optimization ErrorsConclusion