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Advances in Portfolio Construction and Implementation

Author : Alan Scowcroft
Publisher : Elsevier
Page : 384 pages
File Size : 44,84 MB
Release : 2003-06-25
Category : Business & Economics
ISBN : 0080471846

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Modern Portfolio Theory explores how risk averse investors construct portfolios in order to optimize market risk against expected returns. The theory quantifies the benefits of diversification.Modern Portfolio Theory provides a broad context for understanding the interactions of systematic risk and reward. It has profoundly shaped how institutional portfolios are managed, and has motivated the use of passive investment management techniques, and the mathematics of MPT is used extensively in financial risk management.Advances in Portfolio Construction and Implementation offers practical guidance in addition to the theory, and is therefore ideal for Risk Mangers, Actuaries, Investment Managers, and Consultants worldwide. Issues are covered from a global perspective and all the recent developments of financial risk management are presented. Although not designed as an academic text, it should be useful to graduate students in finance. *Provides practical guidance on financial risk management*Covers the latest developments in investment portfolio construction*Full coverage of the latest cutting edge research on measuring portfolio risk, alternatives to mean variance analysis, expected returns forecasting, the construction of global portfolios and hedge portfolios (funds)

Advances in Active Portfolio Management: New Developments in Quantitative Investing

Author : Richard C. Grinold
Publisher : McGraw Hill Professional
Page : 666 pages
File Size : 48,50 MB
Release : 2019-09-13
Category : Business & Economics
ISBN : 1260453723

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From the leading authorities in their field—the newest, most effective tools for avoiding common pitfalls while maximizing profits through active portfolio management Whether you’re a portfolio manager, financial adviser, or investing novice, this important follow-up to the classic guide to active portfolio management delivers everything you need to beat the market at every turn. Advances in Active Portfolio Management gets you fully up to date on the issues, trends, and challenges in the world of active management—and shows how to apply advances in the Grinold and Kahn’s legendary approach to meet current challenges. Composed of articles published in today’s leading management publications—including several that won Journal of Portfolio Management’s prestigious Bernstein Fabozzi/Jacobs Levy Award—this comprehensive guide is filled with new insights into: • Dynamic Portfolio Management • Signal Weighting • Implementation Efficiency • Holdings-based attribution • Expected returns • Risk management • Portfolio construction • Fees Providing everything you need to master active portfolio management in today’s investing landscape, the book is organized into three sections: the fundamentals of successful active management, advancing the authors’ framework, and applying the framework in today’s investing landscape. The culmination of many decades of investing experience and research, Advances in Active Portfolio Managementmakes complex issues easy to understand and put into practice. It’s the one-stop resource you need to succeed in the world of investing today.

Handbook of Portfolio Construction

Author : John B. Guerard, Jr.
Publisher : Springer Science & Business Media
Page : 796 pages
File Size : 33,55 MB
Release : 2009-12-12
Category : Business & Economics
ISBN : 0387774394

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Portfolio construction is fundamental to the investment management process. In the 1950s, Harry Markowitz demonstrated the benefits of efficient diversification by formulating a mathematical program for generating the "efficient frontier" to summarize optimal trade-offs between expected return and risk. The Markowitz framework continues to be used as a basis for both practical portfolio construction and emerging research in financial economics. Such concepts as the Capital Asset Pricing Model (CAPM) and the Arbitrage Pricing Theory (APT), for example, provide the foundation for setting benchmarks, for predicting returns and risk, and for performance measurement. This volume showcases original essays by some of today’s most prominent academics and practitioners in the field on the contemporary application of Markowitz techniques. Covering a wide spectrum of topics, including portfolio selection, data mining tests, and multi-factor risk models, the book presents a comprehensive approach to portfolio construction tools, models, frameworks, and analyses, with both practical and theoretical implications.

Robust Equity Portfolio Management

Author : Woo Chang Kim
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 37,8 MB
Release : 2015-11-25
Category : Business & Economics
ISBN : 111879737X

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A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts. Portfolio construction models originating from the standard Markowitz mean-variance model have a high input sensitivity that threatens optimization, spawning a flurry of research into new analytic techniques. This book covers the latest developments along with the basics, to give you a truly comprehensive understanding backed by a robust, practical skill set. Get up to speed on the latest developments in portfolio optimization Implement robust models using provided MATLAB code Learn advanced optimization methods with equity portfolio applications Understand the formulations, performances, and properties of robust portfolios The Markowitz mean-variance model remains the standard framework for portfolio optimization, but the interest in—and need for—an alternative is rapidly increasing. Resolving the sensitivity issue and dramatically reducing portfolio risk is a major focus of today's portfolio manager. Robust Equity Portfolio Management + Website provides a viable alternative framework, and the hard skills to implement any optimization method.

Advances in the Practice of Public Investment Management

Author : Narayan Bulusu
Publisher : Springer
Page : 406 pages
File Size : 21,15 MB
Release : 2018-07-28
Category : Business & Economics
ISBN : 3319902458

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This book covers the latest advances in the theory and practice of public investment management. It includes the most up-to-date developments in the implementation of public asset management – including multiple contributions on portfolio allocation in varying interest-rate and credit-risk environments. Other highlights include implementation, performance attribution and governance issues surrounding reserves management, portfolio construction techniques appropriate for public investors and an in-depth discussion of the challenges to achieving international diversification.

Multicriteria Portfolio Construction with Python

Author : Elissaios Sarmas
Publisher : Springer Nature
Page : 176 pages
File Size : 25,95 MB
Release : 2020-10-17
Category : Business & Economics
ISBN : 3030537439

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This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub. This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions. The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering.

Robust Portfolio Optimization and Management

Author : Frank J. Fabozzi
Publisher : John Wiley & Sons
Page : 513 pages
File Size : 25,81 MB
Release : 2007-04-27
Category : Business & Economics
ISBN : 0470164891

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Praise for Robust Portfolio Optimization and Management "In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction." --Mark Kritzman, President and CEO, Windham Capital Management, LLC "The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike." --John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University

Quantitative Equity Portfolio Management

Author : Ludwig B. Chincarini
Publisher :
Page : 658 pages
File Size : 49,45 MB
Release : 2006
Category : Investment analysis
ISBN : 9780071459402

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With quantitative investment strategies gaining in popularity, a new breed of investment professional is devising increasingly successful strategies to exploit market anomalies. Quantitative Equity Portfolio Management: Modern Techniques and Applications provides a self-contained review of quantitative investment strategies and theoretical explanations behind market inefficiencies. It discusses the return forecasting and risk models, portfolio construction, and trade implementation. This book solves problems related to quantitative model building, illustrating concepts and solutions with numerical and empirical examples. While rooted in traditional academic research, the book provides more advanced and practical methods for portfolio management, such as nonlinear, contextual, and factor-timing alpha models.

Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Selecting Superior Returns and Controlling Risk

Author : Richard C. Grinold
Publisher : McGraw Hill Professional
Page : 596 pages
File Size : 24,43 MB
Release : 1999-11-16
Category : Business & Economics
ISBN : 007137695X

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"This new edition of Active Portfolio Management continues the standard of excellence established in the first edition, with new and clear insights to help investment professionals." -William E. Jacques, Partner and Chief Investment Officer, Martingale Asset Management. "Active Portfolio Management offers investors an opportunity to better understand the balance between manager skill and portfolio risk. Both fundamental and quantitative investment managers will benefit from studying this updated edition by Grinold and Kahn." -Scott Stewart, Portfolio Manager, Fidelity Select Equity ® Discipline Co-Manager, Fidelity Freedom ® Funds. "This Second edition will not remain on the shelf, but will be continually referenced by both novice and expert. There is a substantial expansion in both depth and breadth on the original. It clearly and concisely explains all aspects of the foundations and the latest thinking in active portfolio management." -Eric N. Remole, Managing Director, Head of Global Structured Equity, Credit Suisse Asset Management. Mathematically rigorous and meticulously organized, Active Portfolio Management broke new ground when it first became available to investment managers in 1994. By outlining an innovative process to uncover raw signals of asset returns, develop them into refined forecasts, then use those forecasts to construct portfolios of exceptional return and minimal risk, i.e., portfolios that consistently beat the market, this hallmark book helped thousands of investment managers. Active Portfolio Management, Second Edition, now sets the bar even higher. Like its predecessor, this volume details how to apply economics, econometrics, and operations research to solving practical investment problems, and uncovering superior profit opportunities. It outlines an active management framework that begins with a benchmark portfolio, then defines exceptional returns as they relate to that benchmark. Beyond the comprehensive treatment of the active management process covered previously, this new edition expands to cover asset allocation, long/short investing, information horizons, and other topics relevant today. It revisits a number of discussions from the first edition, shedding new light on some of today's most pressing issues, including risk, dispersion, market impact, and performance analysis, while providing empirical evidence where appropriate. The result is an updated, comprehensive set of strategic concepts and rules of thumb for guiding the process of-and increasing the profits from-active investment management.

Robust Portfolio Optimization and Management

Author : Frank J. Fabozzi
Publisher : John Wiley & Sons
Page : 517 pages
File Size : 20,91 MB
Release : 2007-06-04
Category : Business & Economics
ISBN : 047192122X

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Praise for Robust Portfolio Optimization and Management "In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction." --Mark Kritzman, President and CEO, Windham Capital Management, LLC "The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike." --John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University