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Quantitative equity management techniques are helping investors achieve more risk efficient and appropriate investment outcomes. Factor investing, vetted by decades of prior and current research, is growing quickly, particularly in in the form of smart-beta and ETF strategies. Dynamic factor-timing approaches, incorporating macroeconomic and investment conditions, are in the early stages but will likely thrive. A new generation of big data approaches are rendering quantitative equity analysis even more powerful and encompassing.
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.
In Principles of Quantitative Equity Investing, pioneering financial researcher Dr. Sugata Ray demonstrates how to invest successfully in US equities with quantitative strategies, using rigorous rule sets to decide when and what to trade. Whether you’re a serious investor, professional advisor, or student of finance, Ray will help you determine the optimal quantitative rules for your investing objectives, and then "backtest" their performance through any historical time period. He demonstrates each key technique using state-of-the-art Equities Lab software — and this book comes with 20 weeks of free access to Equities Lab, plus a discount on its purchase. Ray covers key topics including stock screening, portfolio rebalancing, market timing, returns and dividends, benchmarks, bespoke measures, and more. He also presents a series of powerful screens built by many of the world’s most successful investors. Together, this guidebook and software combine to offer a turnkey solution for creating virtually any quantitative strategy, and then accurately estimating its performance and risk characteristics — helping you systematically maximize your profits and control your risk.
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.
Two pioneers and innovators in the money management field present their choice of groundbreaking, peer-reviewed articles on subjects including portfolio engineering and long-short investment strategy. More than just a collection of classic review pieces, however, Equity Management provides new material to introduce, interpret, and integrate the pieces, with an introduction that provides an authoritative overview of the chapters. Important and innovative, it is destined to become the "Graham and Dodd" of quantitative equity investing. About the Authors: Bruce I. Jacobs and Kenneth N. Levy are Principals of Jacobs Levy Equity Management. Based in Florham Park, New Jersey, Jacobs Levy Equity Management is widely recognized as a leading provider of quantitative equity strategies for institutional clients. Jacobs Levy currently manages over $15 billion in various strategies for a prestigious global roster of 50 corporate pension plans, public retirement systems, multi-employer funds, endowments, and foundations, including over 25 of Pensions & Investments' "Top 200 Pension Funds/Sponsors." Bruce I. Jacobs holds a PhD in finance from the Wharton School of the University of Pennsylvania. He is the author of Capital Ideas and Market Realities: Option Replication, Investor Behavior, and Stock Market Crashes and co-editor, with Ken Levy, of Market Neutral Strategies. He serves on the advisory board of the Journal of Portfolio Management. Kenneth N. Levy holds an MBA and an MA in applied economics from the Wharton School of the University of Pennsylvania. He is co-editor, with Bruce Jacobs, of Market Neutral Strategies. A Chartered Financial Analyst, he has served on the CFA Institute's candidate curriculum committee and on the advisory board of POSIT.
This book provides readers with a systematic approach to quantitative investments and bridges the gap between theory and practice, equipping students to more seamlessly enter the world of industry. A successful quantitative investment strategy requires an individual to possess a deep understanding of the financial markets, investment theories and econometric modelings, as well as the ability to program and analyze real-world data sets. In order to connect finance theories and practical industry experience, each chapter begins with a real-world finance case study. The rest of the chapter introduces fundamental insights and theories, and teaches readers to use statistical models and R programming to analyze real-world data, therefore grounding the learning process in application. Additionally, each chapter profiles significant figures in investment and quantitative studies, so that readers can more fully understand the history of the discipline. This volume will be particularly useful to advanced students and practitioners in finance and investments.
A must-read book on the quantitative value investment strategy Warren Buffett and Ed Thorp represent two spectrums of investing: one value driven, one quantitative. Where they align is in their belief that the market is beatable. This book seeks to take the best aspects of value investing and quantitative investing as disciplines and apply them to a completely unique approach to stock selection. Such an approach has several advantages over pure value or pure quantitative investing. This new investing strategy framed by the book is known as quantitative value, a superior, market-beating method to investing in stocks. Quantitative Value provides practical insights into an investment strategy that links the fundamental value investing philosophy of Warren Buffett with the quantitative value approach of Ed Thorp. It skillfully combines the best of Buffett and Ed Thorp—weaving their investment philosophies into a winning, market-beating investment strategy. First book to outline quantitative value strategies as they are practiced by actual market practitioners of the discipline Melds the probabilities and statistics used by quants such as Ed Thorp with the fundamental approaches to value investing as practiced by Warren Buffett and other leading value investors A companion Website contains supplementary material that allows you to learn in a hands-on fashion long after closing the book If you're looking to make the most of your time in today's markets, look no further than Quantitative Value.
The classic guide to quantitative investing—expanded and updated for today’s increasingly complex markets From Bruce Jacobs and Ken Levy—two pioneers of quantitative equity management—the go-to guide to stock selection has been substantially updated to help you build portfolios in today’s transformed investing landscape. A powerful combination of in-depth research and expert insights gained from decades of experience, Equity Management, Second Edition includes 24 new peer-reviewed articles that help leveraged long-short investors and leverage-averse investors navigate today’s complex and unpredictable markets. Retaining all the content that made an instant classic of the first edition—including the authors’ innovative approach to disentangling the many factors that influence stock returns, unifying the investment process, and integrating long and short portfolio positions—this new edition addresses critical issues. Among them-- • What’s the best leverage level for long-short and leveraged long-only portfolios? • Which behavioral characteristics explain the recent financial meltdown and previous crises? • What is smart beta—and why should you think twice about using it? • How do option-pricing theory and arbitrage strategies lead to market instability? • Why are factor-based strategies on the rise? Equity Management provides the most comprehensive treatment of the subject to date. More than a mere compilation of articles, this collection provides a carefully structured view of modern quantitative investing. You’ll come away with levels of insight and understanding that will give you an edge in increasingly complex and unpredictable markets. Well-established as two of today’s most innovative thinkers, Jacobs and Levy take you to the next level of investing. Read Equity Management and design the perfect portfolio for your investing goals.
The Complete Guide to Capital Markets for Quantitative Professionals is a comprehensive resource for readers with a background in science and technology who want to transfer their skills to the financial industry. It is written in a clear, conversational style and requires no prior knowledge of either finance or financial analytics. The book begins by discussing the operation of the financial industry and the business models of different types of Wall Street firms, as well as the job roles those with technical backgrounds can fill in those firms. Then it describes the mechanics of how these firms make money trading the main financial markets (focusing on fixed income, but also covering equity, options and derivatives markets), and highlights the ways in which quantitative professionals can participate in this money-making process. The second half focuses on the main areas of Wall Street technology and explains how financial models and systems are created, implemented, and used in real life. This is one of the few books that offers a review of relevant literature and Internet resources.
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.