Advances in Quantitative Asset Management

Advances in Quantitative Asset Management

Author: Christian Dunis

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 345

ISBN-13: 1461543894

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Advances in Quantitative Asset Management contains selected articles which, for the most part, were presented at the `Forecasting Financial Markets' Conference. `Forecasting Financial Markets' is an international conference on quantitative finance which is held in London in May every year. Since its inception in 1994, the conference has grown in scope and stature to become a key international meeting point for those interested in quantitative finance, with the participation of prestigious academic and research institutions from all over the world, including major central banks and quantitative fund managers. The editor has chosen to concentrate on advances in quantitative asset management and, accordingly, the papers in this book are organized around two major themes: advances in asset allocation and portfolio management, and modelling risk, return and correlation.


Advances in Active Portfolio Management: New Developments in Quantitative Investing

Advances in Active Portfolio Management: New Developments in Quantitative Investing

Author: Richard C. Grinold

Publisher: McGraw Hill Professional

Published: 2019-09-13

Total Pages: 666

ISBN-13: 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.


The Oxford Handbook of Quantitative Asset Management

The Oxford Handbook of Quantitative Asset Management

Author: Bernd Scherer

Publisher: Oxford University Press

Published: 2012

Total Pages: 530

ISBN-13: 0199553432

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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.


Advanced Portfolio Management

Advanced Portfolio Management

Author: Giuseppe A. Paleologo

Publisher: John Wiley & Sons

Published: 2021-08-10

Total Pages: 215

ISBN-13: 1119789796

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You have great investment ideas. If you turn them into highly profitable portfolios, this book is for you. Advanced Portfolio Management: A Quant’s Guide for Fundamental Investors is for fundamental equity analysts and portfolio managers, present, and future. Whatever stage you are at in your career, you have valuable investment ideas but always need knowledge to turn them into money. This book will introduce you to a framework for portfolio construction and risk management that is grounded in sound theory and tested by successful fundamental portfolio managers. The emphasis is on theory relevant to fundamental portfolio managers that works in practice, enabling you to convert ideas into a strategy portfolio that is both profitable and resilient. Intuition always comes first, and this book helps to lay out simple but effective "rules of thumb" that require little effort to implement and understand. At the same time, the book shows how to implement sophisticated techniques in order to meet the challenges a successful investor faces as his or her strategy grows in size and complexity. Advanced Portfolio Management also contains more advanced material and a quantitative appendix, which benefit quantitative researchers who are members of fundamental teams. You will learn how to: Separate stock-specific return drivers from the investment environment’s return drivers Understand current investment themes Size your cash positions based on Your investment ideas Understand your performance Measure and decompose risk Hedge the risk you don’t want Use diversification to your advantage Manage losses and control tail risk Set your leverage Author Giuseppe A. Paleologo has consulted, collaborated, taught, and drank strong wine with some of the best stock-pickers in the world; he has traded tens of billions of dollars hedging and optimizing their books and has helped them navigate through big drawdowns and even bigger recoveries. Whether or not you have access to risk models or advanced mathematical background, you will benefit from the techniques and the insights contained in the book—and won't find them covered anywhere else.


Machine Learning for Asset Managers

Machine Learning for Asset Managers

Author: Marcos M. López de Prado

Publisher: Cambridge University Press

Published: 2020-04-22

Total Pages: 152

ISBN-13: 1108879721

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Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "learn" complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects.


Quantitative Management of Bond Portfolios

Quantitative Management of Bond Portfolios

Author: Lev Dynkin

Publisher: Princeton University Press

Published: 2020-05-26

Total Pages: 1000

ISBN-13: 0691210616

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The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments, investment methodologies, and improved analytics. Investors are looking for a more disciplined, quantitative approach to asset management. Here, five top authorities from a leading Wall Street firm provide practical solutions and feasible methodologies based on investor inquiries. While taking a quantitative approach, they avoid complex mathematical derivations, making the book accessible to a wide audience, including portfolio managers, plan sponsors, research analysts, risk managers, academics, students, and anyone interested in bond portfolio management. The book covers a range of subjects of concern to fixed-income portfolio managers--investment style, benchmark replication and customization, managing credit and mortgage portfolios, managing central bank reserves, risk optimization, and performance attribution. The first part contains empirical studies of security selection versus asset allocation, index replication with derivatives and bonds, optimal portfolio diversification, and long-horizon performance of assets. The second part covers portfolio management tools for risk budgeting, bottom-up risk modeling, performance attribution, innovative measures of risk sensitivities, and hedging risk exposures. A first-of-its-kind publication from a team of practitioners at the front lines of financial thinking, this book presents a winning combination of mathematical models, intuitive examples, and clear language.


Quantitative Fund Management

Quantitative Fund Management

Author: M.A.H. Dempster

Publisher: CRC Press

Published: 2008-12-22

Total Pages: 488

ISBN-13: 1420081926

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The First Collection That Covers This Field at the Dynamic Strategic and One-Period Tactical Levels. Addressing the imbalance between research and practice, Quantitative Fund Management presents leading-edge theory and methods, along with their application in practical problems encountered in the fund management industry. A Current Snapshot of State-of-the-Art Applications of Dynamic Stochastic Optimization Techniques to Long-Term Financial Planning - The first part of the book initially looks at how the quantitative techniques of the equity industry are shifting from basic Markowitz mean-variance portfolio optimization to risk management and trading applications. This section also explores novel aspects of lifetime individual consumption investment problems, fixed-mix portfolio rebalancing allocation strategies, debt management for funding mortgages and national debt, and guaranteed return fund construction. Up-to-Date Overview of Tactical Financial Planning and Risk Management - The second section covers nontrivial computational approaches to tactical fund management. This part focuses on portfolio construction and risk management at the individual security or fund manager level over the period up to the next portfolio rebalance. It discusses non-Gaussian returns, new risk-return tradeoffs, and the robustness of benchmarks and portfolio decisions. The Future Use of Quantitative Techniques in Fund Management - With contributions from well-known academics and practitioners, this volume will undoubtedly foster the recognition and wider acceptance of stochastic optimization techniques in financial practice.


The Oxford Handbook of Quantitative Asset Management

The Oxford Handbook of Quantitative Asset Management

Author: Bernd Scherer

Publisher: Oxford University Press

Published: 2011-12-15

Total Pages:

ISBN-13: 0191624047

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Quantitative portfolio management has become a highly specialized discipline. Computing power and software improvements have advanced the field to a level that would not have been thinkable when Harry Markowitz began the modern era of quantitative portfolio management in 1952. In addition to raw computing power, major advances in financial economics and econometrics have shaped academia and the financial industry over the last 60 years. While the idea of a general theory of finance is still only a distant hope, asset managers now have tools in the financial engineering kit that address specific problems in their industry. The Oxford Handbook of Quantitative Asset Management consists of seven sections that explore major themes in current theoretical and practical use. These themes span all aspects of a modern quantitative investment organization. Contributions from academics and practitioners working in leading investment management organizations bring together the key theoretical and practical aspects of the field to provide a comprehensive overview of the major developments in the area.


Applied Quantitative Methods for Trading and Investment

Applied Quantitative Methods for Trading and Investment

Author: Christian L. Dunis

Publisher: John Wiley & Sons

Published: 2004-01-09

Total Pages: 426

ISBN-13: 0470871342

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This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston. Fills the gap for a book on applied quantitative investment & trading models Provides details of how to combine various models to manage and trade a portfolio


Quantitative Equity Portfolio Management

Quantitative Equity Portfolio Management

Author: Edward E. Qian

Publisher: CRC Press

Published: 2007-05-11

Total Pages: 462

ISBN-13: 1420010794

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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