Quantitative Equity Portfolio Management Second Edition An Active Approach To Portfolio Construction And Management

Construct and manage a high-performance equity portfolio using today's most powerful quantitative methods The classic guide that taught a generation of investors how to build high-yield quant portfolios, Quantitative Equity Portfolio Management has been fully updated with new data, research, information, and insights, along with the latest, most powerful quantitative tools and methods. Renowned quant experts Ludwig Chincarini and Daehwan Kim walk you through the foundational principles of quantitative active management and explain how to build an equity portfolio using those powerful concepts. They provide clear explanations of all the topics you need to know—from basic models, factors and factor choice, and stock screening and ranking to fundamental factor models, economic factor models, and forecasting factor premiums and exposures. Inside, you’ll find: Proven methodology for creating an equity portfolio that maximizes returns and minimizes risks Techniques for to create a professionally managed portfolio Practical melding of financial theory with real-world practice Illustrative financial examples and case studies Every chapter has accompanying practical problems with solutions and labs using real data available online. In addition, the book as a whole has online appendices covering a brief history of financial theory, fundamental models of stock returns, a basic review of mathematical and statistical concepts, an entertaining explanation and quantitative approach to the casino game of craps, and other on-target supplemental materials. Quantitative Equity Portfolio Management delivers everything you need to build a solid equity portfolio for your clients.

Quantitative Equity Portfolio Management brings the orderly structure of fundamental asset management to the often-chaotic world of active equity management. Straightforward and accessible, it provides you with nuts-and-bolts details for selecting and aggregating factors, building a risk model, and much more.

Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for

Introduces the modern investment management techniques used by Goldman Sachs asset management to a broad range of institutional and sophisticated investors. * Along with Fischer Black, Bob Litterman created the Black-Litterman asset allocation model, one of the most widely respected and used asset allocation models deployed by institutional investors. * Litterman and his asset management group are often a driving force behind the asset allocation and investment decision-making of the world's largest 100 pension funds.

The classic guide that taught a generation of institutional investors how to construct and manage high-yield quant portfolios—now updated for the new generation Quantitative Equity Portfolio Management is a comprehensive guide to the entire process of constructing and managing a high-yield quantitative equity portfolio. This detailed handbook begins with the basic principles of quantitative active management and then clearly outlines how to build an equity portfolio using those powerful concepts. This edition of the go-to guide for quant investing has been updated with critical new data, information, and insights, including: All table and graph data updated to 2020 The secret ingredients to building smart beta ETFs and mutual funds A new list of behavioral biases that lead to investment anomalies Entirely new factor definitions and test of their outperformance with real stock return data New labs using real data written in R, MATLAB, and STATA with new techniques to optimize professional portfolios New methods to deal with outlier data The author’s new research on transaction cost problems Detailed uses of ESG data to create socially responsible portfolios Downloadable monthly factor returns from the authors Quantitative Equity Portfolio Management delivers a complete, easy-to-apply methodology for creating an equity portfolio that maximizes returns and minimizes risks. It covers every step of the process, including basic models, stock screening and ranking, fundamental and economic factor modelling, forecasting factor premiums and exposures, building market neutral portfolios, tax management, performance measurement and attribution, and backtesting. An essential reference for professional money managers and students taking advanced investment courses, Quantitative Equity Portfolio Management offers a full array of methods for effectively developing high-performance equity portfolios that deliver lucrative returns for clients.

"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.

A comprehensive look at the tools and techniques used in quantitative equity management Some books attempt to extend portfolio theory, but the real issue today relates to the practical implementation of the theory introduced by Harry Markowitz and others who followed. The purpose of this book is to close the implementation gap by presenting state-of-the art quantitative techniques and strategies for managing equity portfolios. Throughout these pages, Frank Fabozzi, Sergio Focardi, and Petter Kolm address the essential elements of this discipline, including financial model building, financial engineering, static and dynamic factor models, asset allocation, portfolio models, transaction costs, trading strategies, and much more. They also provide ample illustrations and thorough discussions of implementation issues facing those in the investment management business and include the necessary background material in probability, statistics, and econometrics to make the book self-contained. Written by a solid author team who has extensive financial experience in this area Presents state-of-the art quantitative strategies for managing equity portfolios Focuses on the implementation of quantitative equity asset management Outlines effective analysis, optimization methods, and risk models In today's financial environment, you have to have the skills to analyze, optimize and manage the risk of your quantitative equity investments. This guide offers you the best information available to achieve this goal.