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The book is divided into three sections plus detailed appendices and glossary and accompanying CD-ROM. The first section provides a description of the investment management process providing a context for quantitative techniques. Section 2 addresses different quantitative techniques as applied to investment management. Each chapter explains the techniques, the theoretical basis, the use of derivatives and other technology, implementation and management and the role of the custodian. Section 3 brings together issues such as currency management, performance measurement and appraisal and performance analysis. The accompanying CD-ROM contains spreadsheets in EXCEL giving examples used in the body of the text. Each example is cross-referenced for easy access.
Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.
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
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.
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.
The complete guide to derivatives, from the experts at the CFA Derivatives is the definitive guide to derivatives, derivative markets, and the use of options in risk management. Written by the experts at the CFA Institute, this book provides authoritative reference for students and investment professionals seeking a deeper understanding for more comprehensive portfolio management. General discussion of the types of derivatives and their characteristics gives way to detailed examination of each market and its contracts, including forwards, futures, options, and swaps, followed by a look at credit derivatives markets and their instruments. Included lecture slides help bring this book directly into the classroom, while the companion workbook (sold separately) provides problems and solutions that align with the text and allows students to test their understanding while facilitating deeper internalization of the material. Derivatives have become essential to effective financial risk management, and create synthetic exposure to asset classes. This book builds a conceptual framework for understanding derivative fundamentals, with systematic coverage and detailed explanations. Understand the different types of derivatives and their characteristics Delve into the various markets and their associated contracts Examine the use of derivatives in portfolio management Learn why derivatives are increasingly fundamental to risk management The CFA Institute is the world's premier association for investment professionals, and the governing body for the CFA, CIPM, and Investment Foundations Programs. Those seeking a deeper understanding of the markets, mechanisms, and use of derivatives will value the level of expertise CFA lends to the discussion, providing a clear, comprehensive resource for students and professionals alike. Whether used alone or in conjunction with the companion workbook, Derivatives offers a complete course in derivatives and their markets.
The requirement to maximise value for shareholders is at the core of any corporate investment or financing decision. The intrinsic value of proposed investments should be assessed before deciding how much capital to allocate; the benefits and risks associated with each available source of finance should be considered when capital is being raised; and capital, and any associated financial risks, should be managed in a way that continues to maximise value. At every stage, an analysis should be carried out to ensure the decision is optimal for shareholders and other capital providers.This book provides practical guidance on the application of financial evaluation techniques and methods (mainly covered in Appendices), as well as comprehensive coverage of traditional corporate finance topics, discussed in the context of capital investment, raising and management and financial risk management (using derivatives). Models, formulae and other quantitative techniques are illustrated in over 100 examples (using only basic mathematics). Topics discussed include the following:* business appraisal using financial ratios* corporate valuation (mainly discounted cash flow and real options)*investment appraisal techniques* acquisition structuring and evaluation* the nature of loans and loan agreements* features and pricing of bonds (straight and convertible)* leasing (including leveraged leasing)* equity raising (Initial Public Offerings)* long and short term capital management* basic pricing of derivatives (forwards, futures, options, swaps)* interest rate and currency risk management using derivativesCapital Investment & Financing provides a comprehensive, in-depth coverage of concepts, methods and techniques involved when evaluating acquisitions and other investments, assessing financing opportunities, and managing capital. The core chapters provide practical guidance on key corporate finance topics; the Appendices contain more quantitative material, focusing on pricing techniques. Examples are used throughout, and an integrated case study (fictional) in the final Appendix uses many of the techniques discussed.*Discusses all key areas of corporate investing and financing, focusing on key financial issues *Concise, thorough and technical, it enables to reader to acquire knowledge effectively *Can be used in everyday analysis and decision making
This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data. This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject.
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.
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.