The Current State of Quantitative Equity Investing

Author: Ying L. Becker

Publisher: CFA Institute Research Foundation

ISBN: 9781944960452

Category: Business & Economics

Page: 72

View: 883

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.
Quantitative Equity Investing

Author: Frank J. Fabozzi

Publisher: John Wiley & Sons

ISBN: 9780470262474

Category: Business & Economics

Page: 512

View: 548

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.
Investment Governance for Fiduciaries

Author: Michael E. Drew

Publisher: CFA Institute Research Foundation

ISBN: 9781944960704

Category: Business & Economics

Page: 190

View: 887

Governance is a word that is increasingly heard and read in modern times, be it corporate governance, global governance, or investment governance. Investment governance, the central concern of this modest volume, refers to the effective employment of resources—people, policies, processes, and systems—by an individual or governing body (the fiduciary or agent) seeking to fulfil their fiduciary duty to a principal (or beneficiary) in addressing an underlying investment challenge. Effective investment governance is an enabler of good stewardship, and for this reason it should, in our view, be of interest to all fiduciaries, no matter the size of the pool of assets or the nature of the beneficiaries. To emphasize the importance of effective investment governance and to demonstrate its flexibility across organization type, we consider our investment governance process within three contexts: defined contribution (DC) plans, defined benefit (DB) plans, and endowments and foundations (E&Fs). Since the financial crisis of 2007–2008, the financial sector’s place in the economy and its methods and ethics have (rightly, in many cases) been under scrutiny. Coupled with this theme, the task of investment governance is of increasing importance due to the sheer weight of money, the retirement savings gap, demographic trends, regulation and activism, and rising standards of behavior based on higher expectations from those fiduciaries serve. These trends are at the same time related and self-reinforcing. Having explored the why of investment governance, we dedicate the remainder of the book to the question of how to bring it to bear as an essential component of good fiduciary practice. At this point, the reader might expect investment professionals to launch into a discussion about an investment process focused on the best way to capture returns. We resist this temptation. Instead, we contend that achieving outcomes on behalf of beneficiaries is as much about managing risks as it is about capturing returns—and we mean “risks” broadly construed, not just fluctuations in asset values.
Research Foundation Review 2019

Author: CFA Institute Research Foundation

Publisher: CFA Institute Research Foundation

ISBN: 9781944960940

Category: Business & Economics

Page: 82

View: 99

Research Foundation Review 2019 presents the offerings from CFA Institute Research Foundation during 2019. We start with an overview, summarize the year's output, and end with other relevant material, such as awards and recognition.
Asset Management: Tools And Issues

Author: Frank J Fabozzi

Publisher: World Scientific

ISBN: 9789811225765

Category: Business & Economics

Page: 516

View: 997

Long gone are the times when investors could make decisions based on intuition. Modern asset management draws on a wide-range of fields beyond financial theory: economics, financial accounting, econometrics/statistics, management science, operations research (optimization and Monte Carlo simulation), and more recently, data science (Big Data, machine learning, and artificial intelligence). The challenge in writing an institutional asset management book is that when tools from these different fields are applied in an investment strategy or an analytical framework for valuing securities, it is assumed that the reader is familiar with the fundamentals of these fields. Attempting to explain strategies and analytical concepts while also providing a primer on the tools from other fields is not the most effective way of describing the asset management process. Moreover, while an increasing number of investment models have been proposed in the asset management literature, there are challenges and issues in implementing these models. This book provides a description of the tools used in asset management as well as a more in-depth explanation of specialized topics and issues covered in the companion book, Fundamentals of Institutional Asset Management. The topics covered include the asset management business and its challenges, the basics of financial accounting, securitization technology, analytical tools (financial econometrics, Monte Carlo simulation, optimization models, and machine learning), alternative risk measures for asset allocation, securities finance, implementing quantitative research, quantitative equity strategies, transaction costs, multifactor models applied to equity and bond portfolio management, and backtesting methodologies. This pedagogic approach exposes the reader to the set of interdisciplinary tools that modern asset managers require in order to extract profits from data and processes.
Quantitative Equity Portfolio Management, 2nd edition

Author: Ludwig B. Chincarini

Publisher: McGraw-Hill Education

ISBN: 1264268920

Category: Business & Economics

Page: 688

View: 948

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.
Equity Management: The Art and Science of Modern Quantitative Investing, Second Edition

Author: Bruce I. Jacobs

Publisher: McGraw Hill Professional

ISBN: 9781259835254

Category: Business & Economics

Page: 960

View: 116

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.
Equity Management: The Art and Science of Modern Quantitative Investing, Second Edition

Author: Bruce I. Jacobs

Publisher: McGraw-Hill Education

ISBN: 1259835243

Category: Business & Economics

Page: 896

View: 783

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 Oxford Handbook of Quantitative Asset Management

Author: Bernd Scherer

Publisher: Oxford University Press

ISBN: 9780199553433

Category: Business & Economics

Page: 530

View: 998

This book explores the current state of the art in quantitative investment management across seven key areas. Chapters by academics and practitioners working in leading investment management organizations bring together major theoretical and practical aspects of the field.
Fundamentals Of Institutional Asset Management

Author: Frank J Fabozzi

Publisher: World Scientific

ISBN: 9789811221606

Category: Business & Economics

Page: 616

View: 323

This book provides the fundamentals of asset management. It takes a practical perspective in describing asset management. Besides the theoretical aspects of investment management, it provides in-depth insights into the actual implementation issues associated with investment strategies. The 19 chapters combine theory and practice based on the experience of the authors in the asset management industry. The book starts off with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage of the different asset classes (common stock, bonds, and alternative assets), collective investment vehicles, financial derivatives, common stock analysis and valuation, bond analytics, equity beta strategies (including smart beta), equity alpha strategies (including quantitative/systematic strategies), bond indexing and active bond portfolio strategies, and multi-asset strategies. The methods of using financial derivatives (equity derivatives, interest rate derivatives, and credit derivatives) in managing the risks of a portfolio are clearly explained and illustrated.
Big Data and Machine Learning in Quantitative Investment

Author: Tony Guida

Publisher: John Wiley & Sons

ISBN: 9781119522218

Category: Business & Economics

Page: 296

View: 668

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.