Risk-return analysis : the theory and practice of rational investing

著者

書誌事項

Risk-return analysis : the theory and practice of rational investing

Harry Markowitz with Kenneth A. Blay

McGraw-Hill Education, c2014

  • v. 1

大学図書館所蔵 件 / 全4件

この図書・雑誌をさがす

注記

Bibliography: p. 209-215

Includes index

内容説明・目次

内容説明

The two most important words Harry Markowitz ever wrote are "portfolio selection." In 1952, when everyone in the stock market was looking for the next hot stock, as a doctoral candidate, he proposed to look at many, diverse stocks--a portfolio. He laid the first cornerstone of Modern Portfolio Theory and defended the idea that strategic asset growth means factoring in the risk of an investment. More than 60 years later, the father of modern finance revisits his original masterpiece, describes how his theory has developed, and proves the vitality of hisrisk-return analysis in the current global economy. Risk-Return Analysis opens the door to agroundbreaking four-book series giving readers a privileged look at the personal reflections and current strategies of a luminary in finance. This first volume is Markowitz's response to what he calls the "Great Confusion" that spread when investors lost faith in the diversification benefits of MPT during the financial crisis of 2008. It demonstrates why MPT never became ineffective during the crisis, and how you can continue to reap the rewards of managed diversification into the future. Economists and financial advisors will benefit from the potent balance of theory and hard data on mean-variance analysis aimed at improving decision-making skills. Written for the academic and the practitioner withsome math skills (mostly high school algebra), this richly illustrated guide arms you with: Concrete steps to accurately select and apply the right risk measures in a given circumstanceRare surveys of a half-century of literature covering the applicability of MPTEmpirical data showing mean and riskmeasure used to maximize return in the long term PRAISE FOR RISK-RETURN ANALYSIS"Harry Markowitz invented portfolio analysis and presented the theory in his famous 1952 article and 1959 book. Nobody has greater insight into the process than Harry. No academic or practitioner can truly claim to understand portfolio analysis unless they have read this volume." -- Martin J. Gruber, Professor Emeritus and Scholar in Residence, Stern School of Business, New York University "Surveying the vast literature inspired by [Markowitz's] own 1959 book has stimulated an outpouring of ideas. He builds on the strengths and limitations of the important papers in order to come up with a position that should silence a lot of critics." -- Jack Treynor, President, Treynor Capital Management "The authors do not overlook various criticisms of the MPT, but rather address them convincingly. This excellent book is an essential reference for academics and practitioners alike." -- Haim Levy, Miles Robinson Professor of Finance, Hebrew University, Jerusalem, Israel "Markowitz's groundbreaking publications on Portfolio Selection prescribe a methodology that a rational decision-maker can follow to optimize his investment portfolio in a risky world. . . . Thischallenging new book clarifies many common misconceptions about modern portfolio theory." -- Roger C. Gibson, author of Asset Allocation and Chief Investment Officer, Gibson Capital, LLC "Contain[s] great wisdom that every economist, portfolio manager, and investor should savor page by page." -- Andrew W. Lo, Charles E. and Susan T. Harris Professor and Director, Laboratory for Financial Engineering, MIT Sloan School of Management "[Markowitz's] monumental work in the 1950s would be sufficient to qualify as a lifetime achievement for most mortals, but he keeps spouting fresh insights like lightning flashes year after year, and penetrating ever deeper into the theory, mathematics, and practice of investing." -- Martin Leibowitz, Managing Director, Global Research Strategy, Morgan Stanley "Risk-Return Analysis is a wonderful work in progress by a remarkable scholar who always has time to read what matters, who has the deepest appreciation of scientific achievement, and who has the highest aspirations for the future." -- Enterprising Investor (CFA Institute)

目次

Foreword xi Preface xxi Acknowledgments xxvii Outline of Plans for Volumes II, III, and IV xxix 1. The Expected Utility Maxim 1 Introduction 1 Defi nitions 5 Uniqueness 10 Characteristics of Expected Utility Maximization 12 RDMs Versus HDMs 14 Allais's Paradox 17 Weber's Law and the Allais Paradox 21 The Axioms 24 Axiom I 25 Axiom II 26 Axioms III and III 28 Bounded Versus Unbounded Utility of Returns 31 Postscript 34 2. Mean-Variance Approximations to Expected Utility 37 Introduction 37 Why Not Just Maximize Expected Utility? 41 Utility of Return Versus Utility of Wealth 44 Loistl's Erroneous Analysis 47 Levy and Markowitz (1979) 48 Highly Risk-Averse Investors 53 Highly Risk-Averse Investors and a Risk-Free Asset 56 Portfolios of Call Options 58 Ederington's Quadratic and Gaussian Approximations to Expected Utility 63 Other Pioneers 69 Conclusion 72 3. Mean-Variance Approximations to the Geometric Mean 73 Introduction 73 Why Inputs to a Mean-Variance Analysis Must Be Arithmetic Means 78 Six Mean-Variance Approximations to g 80 Observed Approximation Errors for Asset Classes 84 Relationships Among Approximation Methods 90 Twentieth-Century Real Equity Returns 97 Choice of Approximation 111 Recap 117 Technical Note: Selecting a Weighted Average of Approximations 118 4. Alternative Measures of Risk 123 Introduction 123 The Asset-Class Database 124 Comparisons 127 The DMS Database 137 Caveat and Conclusion 147 5. The Likelihood of Various Return Distributions (With Anthony Tessitore, Ansel Tessitore,and Nilufer Usmen) 149 Introduction 149 Bayes Factors 153 Transformed Variables 156 Compound Hypotheses 159 The Pearson Family 161 The DMS Database 169 Practically Normal Distributions 175 Illustrative Histograms 179 Near LH-Maximizing Distributions for the Ensemble 182 Transformed Country Distributions 186 Observations 190 Recommendation 192 Notes 195 References 209 Index 217

「Nielsen BookData」 より

詳細情報

ページトップへ