Factor Investing

Book Description :

There are hundreds of exhibits in the investment "factor zoo." Which ones are actually worth your time, and your money? Andrew L. Berkin and Larry E. Swedroe, co-authors of The Incredible Shrinking Alpha, bring you a thorough yet still jargon-free and accessible guide to applying one of today's most valuable quantitative, evidence-based approaches to outperforming the market: factor investing. Designed for savvy investors and professional advisors alike, Your Complete Guide to Factor-Based Investing: The Way Smart Money Invests Today takes you on a journey through the land of academic research and an extensive review of its 50-year quest to uncover the secret of successful investing. Along the way, Berkin and Swedroe cite and distill more than 100 academic papers on finance and introduce five unique criteria that a factor (at its most basic, a characteristic or set of characteristics common among a broad set of securities) must meet to be considered worthy of your investment. In addition to providing explanatory power to portfolio returns and delivering a premium, Swedroe and Berkin argue a factor should be persistent, pervasive, robust, investable and intuitive. By the end, you'll have learned that, within the entire "factor zoo," only certain exhibits are worth visiting and only a handful of factors are required to invest in the same manner that made Warren Buffett a legend. Your Complete Guide to Factor-Based Investing: The Way Smart Money Invests Today offers an in-depth look at the evidence practitioners use to build portfolios and how you as an investor can benefit from that knowledge, rendering it an essential resource for making the informed and prudent investment decisions necessary to help secure your financial future.

Book Description :

This new edited volume consists of a collection of original articles written by leading industry experts in the area of factor investing. The chapters introduce readers to some of the latest research developments in the area of equity and alternative investment strategies.Each chapter deals with new methods for constructing and harvesting traditional and alternative risk premia, building strategic and tactical multifactor portfolios, and assessing related systematic investment performances. This volume will be of help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge and understanding of systematic risk factor investing. A practical scope An extensive coverage and up-to-date researcch contributions Covers the topic of factor investing strategies which are increasingly popular amongst practitioners

Book Description :

This book is a compilation of recent articles written by leading academics and practitioners in the area of risk-based and factor investing (RBFI). The articles are intended to introduce readers to some of the latest, cutting edge research encountered by academics and professionals dealing with RBFI solutions. Together the authors detail both alternative non-return based portfolio construction techniques and investing style risk premia strategies. Each chapter deals with new methods of building strategic and tactical risk-based portfolios, constructing and combining systematic factor strategies and assessing the related rules-based investment performances. This book can assist portfolio managers, asset owners, consultants, academics and students who wish to further their understanding of the science and art of risk-based and factor investing. Contains up-to-date research from the areas of RBFI Features contributions from leading academics and practitioners in this field Features discussions of new methods of building strategic and tactical risk-based portfolios for practitioners, academics and students

Book Description :

Download Factor Investing and Asset Allocation A Business Cycle Perspective book written by Vasant Naik,Mukundan Devarajan,Andrew Nowobilski ,Sébastien Page, CFA,Niels Pedersen, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Book Description :

In Asset Management: A Systematic Approach to Factor Investing, Professor Andrew Ang presents a comprehensive, new approach to the age-old problem of where to put your money. Years of experience as a finance professor and a consultant have led him to see that what matters aren't asset class labels, but instead the bundles of overlapping risks they represent. Factor risks must be the focus of our attention if we are to weather market turmoil and receive the rewards that come with doing so. Clearly written yet full of the latest research and data, Asset Management is indispensable reading for trustees, professional money managers, smart private investors, and business students who want to understand the economics behind factor risk premiums, to harvest them efficiently in their portfolios, and to embark on the search for true alpha.

Book Description :

A guide to the popular and fast growing investment opportunities of smart beta Equity Smart Beta and Factor Investing for Practitioners offers a hands-on guide to the popular investment opportunities of smart beta, which is one of the fastest growing areas within the global equity asset class. This well-balanced book is written in accessible and understandable terms and contains an in-depth manual filled with analytical information and new ideas. The authors—noted experts in the field—include a definition of smart beta investing and detail its history. They also explore the distinguishing characteristics of smart beta strategies, offer an overview of factor investing, and reveal the implementation of smart beta approaches. Comprehensive in scope, the book contains helpful examples of applications, real-life illustrative case studies, and contributions from leading and respected practitioners that explain how they approach smart beta investing. This important book: Contains an in-depth exploration of smart beta investing Includes the information written in clear and accessible language Presents helpful case studies, illustrative examples, and contributions from leading and respected experts Offers a must have resource coauthored by the Head of Goldman Sachs’ equity smart beta business Written for investors who want to tap into the opportunities that smart beta offers, Equity Smart Beta and Factor Investing for Practitioners is the comprehensive resource for learning how to create more efficient overall equity portfolios.

Book Description :

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine Learning for Factor Investing: R Version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics. The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees, and causal models. All topics are illustrated with self-contained R code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material, along with the content of the book, is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise.

Book Description :

This book brings simplicity to passive investing, smart beta, and factor investing, which is the fastest growing type of investment in the asset management industry. The subject has a strong academic foundation but often taught and presented in a quite complex and unorganized way. In recent years, index and factor investing solutions have been bestsellers. But factor investing success is not a foregone conclusion, and there are plenty of quirks and misprints in the literature. Do investors need a novel approach? The book provides answers to some of these questions in an open and objective fashion. Index fund management is increasingly taught in finance courses at universities. For market practitioners including trustees and investors, this book facilitates an increased understanding of how to invest in index and smart beta strategies, how to implement them, and what to be aware of with concrete and practical real-world examples.

Book Description :

Systematically secure your financial future—Dummies makes it easy Factor Investing For Dummies helps you go beyond the investment basics, with proven techniques for making informed and sophisticated investment decisions. Using factor investing, you’ll select stocks based on some predetermined, well, factors. Momentum, value, interest rates, economic growth, credit risk, liquidity—all these things can help you identify killer stocks and improve your returns. This book explains it all, and helps you implement a strategic factor investing plan, so you can boost your portfolio’s performance, reduce volatility, and enhance diversification. You’ll also learn what not to do, with coverage of the factors that have failed to deliver consistent returns over time. We explore factor-based ETFS and loads of other ideas for injecting some factors into your investment game. Learn what factor investing is and how you can use it to level up your portfolio Understand the various types of factors and how to use them to select winning stocks Choose from a bunch of factor investing strategies, or build one of your own Generate wealth in a more sophisticated, more effective way This is the perfect Dummies guide for beginner to seasoned investors who want to explore more consistent outperformance potential. Factor Investing For Dummies can also help portfolio managers, consultants, academics, and students who want to understand more about the science of factor investing.

Book Description :

Download A Practitioner s Guide to Factor Models book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Book Description :

A guide to the popular and fast growing investment opportunities of smart beta Equity Smart Beta and Factor Investing for Practitioners offers a hands-on guide to the popular investment opportunities of smart beta, which is one of the fastest growing areas within the global equity asset class. This well-balanced book is written in accessible and understandable terms and contains an in-depth manual filled with analytical information and new ideas. The authors—noted experts in the field—include a definition of smart beta investing and detail its history. They also explore the distinguishing characteristics of smart beta strategies, offer an overview of factor investing, and reveal the implementation of smart beta approaches. Comprehensive in scope, the book contains helpful examples of applications, real-life illustrative case studies, and contributions from leading and respected practitioners that explain how they approach smart beta investing. This important book: Contains an in-depth exploration of smart beta investing Includes the information written in clear and accessible language Presents helpful case studies, illustrative examples, and contributions from leading and respected experts Offers a must have resource coauthored by the Head of Goldman Sachs’ equity smart beta business Written for investors who want to tap into the opportunities that smart beta offers, Equity Smart Beta and Factor Investing for Practitioners is the comprehensive resource for learning how to create more efficient overall equity portfolios.

Book Description :

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine Learning for Factor Investing: R Version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics. The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees, and causal models. All topics are illustrated with self-contained R code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material, along with the content of the book, is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise.

Book Description :

Successful businesses have spent the past two decades retooling and rethinking how to manage their people better. Most big companies that have survived and prospered in the 21st century view employees as a vital strategic asset. In comparison, the U.S. federal government is a Stone Age relic, with its top-down bureaucracy, stovepiping of labor and responsibilities, and lack of training and investment in its own public servants. The inevitable result is a government not keeping up with the complex demands placed on it. In T he People Factor, Linda Bilmes and Scott Gould present a blueprint for reinvigorating the public sector in order to deliver results for America. Their premise is that the federal government can achieve the same gains as the best private sector and military organizations by managing its people better. Their new vision for public service is based on "The People Factor," a set of management tools drawn from best practices in successful companies, the military, and high-performing government agencies. Part One of The People Factor book shows why the U.S. personnel system needs reform, revealing the high price of inaction. Part Two lays out the specific steps that must be taken to achieve the necessary gains. Part Three focuses on how to implement the People Factor and make the authors' vision a reality. They argue that the next president needs to turn this issue into a top priority and use political capital to push reform. Highlights of the book include: • Extensive original survey research • Case studies from government and the military • Interviews with leading thinkers on strategic human capital • A number of specific proposed innovations • A detailed proposal for a nationwide effort to train and revitalize the public service

Book Description :

This comprehensive reference delivers a toolkit for harvesting market rewards from a wide range of investments. Written by a world-renowned industry expert, the reference discusses how to forecast returns under different parameters. Expected returns of major asset classes, investment strategies, and the effects of underlying risk factors such as growth, inflation, liquidity, and different risk perspectives, are also explained. Judging expected returns requires balancing historical returns with both theoretical considerations and current market conditions. Expected Returns provides extensive empirical evidence, surveys of risk-based and behavioral theories, and practical insights.

Book Description :

Download Portfolio Structuring and the Value of Forecasting book written by Jacques Lussier,Andrew Ang,Mark Carhart,Craig Bodenstab,Philip E. Tetlock,Warren Hatch,David Rapach, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Book Description :

Investment professional Larry E. Swedroe describes the crucial difference between "active" and "passive" mutual funds, and tells you how you can win the investment game through long-term investments in such indexes as the S&P 500 instead of through the active buying and selling of stocks. A revised and updated edition of an investment classic, The Only Guide to a Winning Investment Strategy You'll Ever Need remains clear, understandable, and effective. This edition contains a new chapter comparing index funds, ETFs, and passive asset class funds, an expanded section on portfolio care and maintenance, the addition of Swedroe's 15 Rules of Prudent Investing, and much more. In clear language, Swedroe shows how the newer index mutual funds out-earn, out-perform, and out-compound the older funds, and how to select a balance "passive" portfolio for the long hail that will repay you many times over. This indispensable book also provides you with valuable information about: - The efficiency of markets today - The five factors that determine expected returns of a balanced equity and fixed income portfolio - Important facts about volatility, return, and risk - Six steps to building a diversified portfolio using Modern Portfolio Theory - Implementing the winning strategy - and more.

Book Description :

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.

Book Description :

Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In this book, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent.

Book Description :

This survey examines the vibrant academic literature on environmental, social, and governance (ESG) investing. While there is no consensus on the exact list of ESG issues, responsible investors increasingly assess stocks in their portfolios based on nonfinancial data on environmental impact (e.g., carbon emissions), social impact (e.g., employee satisfaction), and governance attributes (e.g., board structure). The objective is to reduce exposure to investments that pose greater ESG risks or to influence companies to become more sustainable. One active area of research at present involves assessing portfolio risk exposure to climate change. This literature review focuses on institutional investors, which have grown in importance such that they have now become the largest holders of shares in public companies globally. Historically, institutional investors tended to concentrate their ESG efforts mostly on corporate governance (the “G” in ESG). These efforts included seeking to eliminate provisions that restrict shareholder rights and enhance managerial power, such as staggered boards, supermajority rules, golden parachutes, and poison pills. Highlights from this section: · There is no consensus on the exact list of ESG issues and their materiality. · The ESG issue that gets the most attention from institutional investors is climate change, in particular their portfolio companies’ exposure to carbon risk and “stranded assets.” · Investors should be positioning themselves for increased regulation, with the regulatory agenda being more ambitious in the European Union than in the United States. Readers might come away from this survey skeptical about the potential for ESG investing to affect positive change. I prefer to characterize the current state of the literature as having a “healthy dose of skepticism,” with much more remaining to be explored. Here, I hope the reader comes away with a call to action. For the industry practitioner, I believe that the investment industry should strive to achieve positive societal goals. CFA Institute provides an exemplary case in its Future of Finance series (www.cfainstitute.org/research/future-finance). For the academic community, I suggest we ramp up research aimed at tackling some of the open questions around the pressing societal goals of ESG investing. I am optimistic that practitioners and academics will identify meaningful ways to better harness the power of global financial markets for addressing the pressing ESG issues facing our society.

Book Description :

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.