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| problems in portfolio management: Portfolio Management under Stress Riccardo Rebonato, Alexander Denev, 2013 A rigorous presentation of a novel methodology for asset allocation in financial portfolios under conditions of market distress. |
| problems in portfolio management: IT (Information Technology) Portfolio Management Step-by-Step Bryan Maizlish, Robert Handler, 2005-04-28 Praise for IT Portfolio Management Step-by-Step Bryan Maizlish and Robert Handler bring their deep experience in IT 'value realization' to one of the most absent of all IT management practices--portfolio management. They capture the essence of universally proven investment practices and apply them to the most difficult of challenges--returning high strategic and dollar payoffs from an enterprise's IT department. The reader will find many new and rewarding insights to making their IT investments finally return market leading results. --John C. Reece, Chairman and CEO, John C. Reece & Associates, LLC Former deputy commissioner for modernization and CIO of the IRS IT Portfolio Management describes in great detail the critical aspects, know-how, practical examples, key insights, and best practices to improve operational efficiency, corporate agility, and business competitiveness. It eloquently illustrates the methods of building and integrating a portfolio of IT investments to ensure the realization of maximum value and benefit, and to fully leverage the value of all IT assets. Whether you are getting started or building on your initial success in IT portfolio management, this book will provide you information on how to build and implement an effective IT portfolio management strategy. --David Mitchell, President and CEO, webMethods, Inc. I found IT Portfolio Management very easy to read, and it highlights many of the seminal aspects and best practices from financial portfolio management. It is an important book for executive, business, and IT managers. --Michael J. Montgomery, President, Montgomery & Co. IT Portfolio Management details a comprehensive framework and process showing how to align business and IT for superior value. Maizlish and Handler have the depth of experience, knowledge, and insight needed to tackle the challenges and opportunities companies face in optimizing their IT investment portfolios. This is an exceptionally important book for executive leadership and IT business managers, especially those wanting to build a process-managed enterprise. --Peter Fingar, Executive Partner Greystone Group, coauthor of The Real-Time Enterprise and Business Process Management (BPM): The Third Wave A must-read for the non-IT manager who needs to understand the complexity and challenges of managing an IT portfolio. The portfolio management techniques, analysis tools, and planning can be applied to any project or function. --Richard Max Maksimoski, Senior Director R&D, The Scotts Company This book provides an excellent framework and real-world based approach for implementing IT portfolio management. It is a must-read for every CIO staff considering how to strategically and operationally impact their company's bottom line. --Donavan R. Hardenbrook, New Product Development Professional, Intel Corporation |
| problems in portfolio management: Pioneering Portfolio Management David F. Swensen, 2009-01-06 In the years since the now-classic Pioneering Portfolio Management was first published, the global investment landscape has changed dramatically -- but the results of David Swensen's investment strategy for the Yale University endowment have remained as impressive as ever. Year after year, Yale's portfolio has trumped the marketplace by a wide margin, and, with over $20 billion added to the endowment under his twenty-three-year tenure, Swensen has contributed more to Yale's finances than anyone ever has to any university in the country. What may have seemed like one among many success stories in the era before the Internet bubble burst emerges now as a completely unprecedented institutional investment achievement. In this fully revised and updated edition, Swensen, author of the bestselling personal finance guide Unconventional Success, describes the investment process that underpins Yale's endowment. He provides lucid and penetrating insight into the world of institutional funds management, illuminating topics ranging from asset-allocation structures to active fund management. Swensen employs an array of vivid real-world examples, many drawn from his own formidable experience, to address critical concepts such as handling risk, selecting advisors, and weathering market pitfalls. Swensen offers clear and incisive advice, especially when describing a counterintuitive path. Conventional investing too often leads to buying high and selling low. Trust is more important than flash-in-the-pan success. Expertise, fortitude, and the long view produce positive results where gimmicks and trend following do not. The original Pioneering Portfolio Management outlined a commonsense template for structuring a well-diversified equity-oriented portfolio. This new edition provides fund managers and students of the market an up-to-date guide for actively managed investment portfolios. |
| problems in portfolio management: Agile Portfolio Management Jochen Krebs, 2008-07-16 Agile development processes foster better collaboration, innovation, and results. So why limit their use to software projects—when you can transform your entire business? Written by agile-mentoring expert Jochen Krebs, this book illuminates the opportunities—and rewards—of applying agile processes to your overall IT portfolio. Whether project manager, business analyst, or executive—you’ll understand the business drivers behind agile portfolio management. And learn best practices for optimizing results. Use agile processes to align IT and business strategy Adapt and extend core agile processes Orchestrate the collaboration between IT and business vision Eliminate wish-list driven requirements, and manage expectations instead Optimize the balance of projects, resources, and assets in your portfolio Use metrics to communicate project status, quality, even team morale Create a portfolio strategy consistent with the goals of the organization Achieve organizational and process transparency Manage your business with agility—and help maximize the returns! |
| problems in portfolio management: Manager Selection Scott Stewart, 2015 Manager selection is a critical step in implementing any investment program. Investors hire portfolio managers to act as their agents, and portfolio managers are then expected to perform to the best of their abilities and in the investors' best interests. Investors must practice due diligence when selecting portfolio managers. They need to not only identify skillful managers, but also determine the appropriate weights to assign to those managers. This book is designed to help investors improve their ability to select managers. Achieving this goal includes reviewing techniques for hiring active, indexed, and alternative managers; highlighting strategies for setting portfolio manager weights and monitoring current managers; and considering the value of quantitative and qualitative methods for successful manager selection. |
| problems in portfolio management: Loan Portfolio Management , 1988 |
| problems in portfolio management: Portfolio Management with Heuristic Optimization Dietmar G. Maringer, 2006-07-02 Portfolio Management with Heuristic Optimization consist of two parts. The first part (Foundations) deals with the foundations of portfolio optimization, its assumptions, approaches and the limitations when traditional optimization techniques are to be applied. In addition, the basic concepts of several heuristic optimization techniques are presented along with examples of how to implement them for financial optimization problems. The second part (Applications and Contributions) consists of five chapters, covering different problems in financial optimization: the effects of (linear, proportional and combined) transaction costs together with integer constraints and limitations on the initital endowment to be invested; the diversification in small portfolios; the effect of cardinality constraints on the Markowitz efficient line; the effects (and hidden risks) of Value-at-Risk when used the relevant risk constraint; the problem factor selection for the Arbitrage Pricing Theory. |
| problems in portfolio management: Equity Valuation and Portfolio Management Frank J. Fabozzi, Harry M. Markowitz, 2011-09-20 A detailed look at equity valuation and portfolio management Equity valuation is a method of valuing stock prices using fundamental analysis to determine the worth of the business and discover investment opportunities. In Equity Valuation and Portfolio Management Frank J. Fabozzi and Harry M. Markowitz explain the process of equity valuation, provide the necessary mathematical background, and discuss classic and new portfolio strategies for investment managers. Divided into two comprehensive parts, this reliable resource focuses on valuation and portfolio strategies related to equities. Discusses both fundamental and new techniques for valuation and strategies Fabozzi and Markowitz are experts in the fields of investment management and economics Includes end of chapter bullet point summaries, key chapter take-aways, and study questions Filled with in-depth insights and practical advice, Equity Valuation and Portfolio Management will put you in a better position to excel at this challenging endeavor. |
| problems in portfolio management: Risk and Portfolio Analysis Henrik Hult, Filip Lindskog, Ola Hammarlid, Carl Johan Rehn, 2012-07-20 Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into actual decisions. In Risk and Portfolio Analysis the authors present sound principles and useful methods for making investment and risk management decisions in the presence of hedgeable and non-hedgeable risks using the simplest possible principles, methods, and models that still capture the essential features of the real-world problems. They use rigorous, yet elementary mathematics, avoiding technically advanced approaches which have no clear methodological purpose and are practically irrelevant. The material progresses systematically and topics such as the pricing and hedging of derivative contracts, investment and hedging principles from portfolio theory, and risk measurement and multivariate models from risk management are covered appropriately. The theory is combined with numerous real-world examples that illustrate how the principles, methods, and models can be combined to approach concrete problems and to draw useful conclusions. Exercises are included at the end of the chapters to help reinforce the text and provide insight. This book will serve advanced undergraduate and graduate students, and practitioners in insurance, finance as well as regulators. Prerequisites include undergraduate level courses in linear algebra, analysis, statistics and probability. |
| problems in portfolio management: Quantitative Equity Portfolio Management Edward E. Qian, Ronald H. Hua, Eric H. Sorensen, 2007-05-11 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 |
| problems in portfolio management: Security Analysis, Portfolio Management, And Financial Derivatives Cheng Few Lee, Joseph Finnerty, John C Lee, Alice C Lee, Donald Wort, 2012-10-01 Security Analysis, Portfolio Management, and Financial Derivatives integrates the many topics of modern investment analysis. It provides a balanced presentation of theories, institutions, markets, academic research, and practical applications, and presents both basic concepts and advanced principles. Topic coverage is especially broad: in analyzing securities, the authors look at stocks and bonds, options, futures, foreign exchange, and international securities. The discussion of financial derivatives includes detailed analyses of options, futures, option pricing models, and hedging strategies. A unique chapter on market indices teaches students the basics of index information, calculation, and usage and illustrates the important roles that these indices play in model formation, performance evaluation, investment strategy, and hedging techniques. Complete sections on program trading, portfolio insurance, duration and bond immunization, performance measurements, and the timing of stock selection provide real-world applications of investment theory. In addition, special topics, including equity risk premia, simultaneous-equation approach for security valuation, and Itô's calculus, are also included for advanced students and researchers. |
| problems in portfolio management: Portfolio Management in Practice, Volume 1 CFA Institute, 2020-11-10 The companion workbook to the Investment Management volume in the CFA Institute’s Portfolio Management in Practice series provides students and professionals with essential practice regarding key concepts in the portfolio management process. Filled with stimulating exercises, this text is designed to help learners explore the multifaceted topic of investment management in a meaningful and productive way. The Investment Management Workbook is structured to further readers’ hands-on experience with a variety of learning outcomes, summary overview sections, challenging practice questions, and solutions. Featuring the latest tools and information to help users become confident and knowledgeable investors, this workbook includes sections on professionalism in the industry, fintech, hedge fund strategies, and more. With the workbook, readers will learn to: Form capital market expectations Understand the principles of the asset allocation process Determine comprehensive investment strategies within each asset class Integrate considerations specific to high net worth individuals or institutions into the selection of strategies Execute and evaluate chosen strategies and investment managers Well suited for individuals who learn on their own, this companion resource delivers an example-driven method for practicing the tools and techniques covered in the primary Investment Management volume, incorporating world-class exercises based on actual scenarios faced by finance professionals every day. |
| problems in portfolio management: Quantitative Portfolio Management Pierre Brugière, 2020-03-28 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. |
| problems in portfolio management: Project Portfolio Management S. Rajegopal, P. McGuin, J. Waller, 2007-03-19 Many companies and organizations are faced with a portfolio of projects that need to be managed effectively and successfully. This new book by leading practitioners introduces a framework and range of tools to enable the project portfolio to be strategically managed. |
| problems in portfolio management: Cambridge Handbook of Organizational Project Management Shankar Sankaran, Ralf Müller, Nathalie Drouin, 2017-05-23 In recent years, organizational project management (OPM) has emerged as a field focused on how project, program and portfolio management practices strategically help firms realize organizational goals. There is a compelling need to address the totality of project-related work at the organizational level, providing a view of organizations as a network of projects to be coordinated among themselves, integrated by the more permanent organization, and to move away from a focus on individual projects. This comprehensive volume provides views from a wide range of international scholars researching OPM at a cross-disciplinary level. It covers concepts, theories and practices from disciplines allied to management, such as strategic management, organization sciences and behavioural science. It will be a valuable read for scholars and practitioners alike, who are looking to enrich their understanding of OPM and further investigate this new phenomenon. |
| problems in portfolio management: Machine Learning for Asset Managers Marcos M. López de Prado, 2020-04-22 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. |
| problems in portfolio management: Dynamic Portfolio Theory and Management Richard E. Oberuc, 2004 Publisher Description |
| problems in portfolio management: Portfolio Decision Analysis Ahti Salo, Jeffrey Keisler, Alec Morton, 2011-08-12 Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to 'lumpy' investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities. In particular, it discusses the evolution of these methods, presents new methodological advances and illustrates their use across several application domains. The book offers a many-faceted treatment of portfolio decision analysis (PDA). Among other things, it (i) synthesizes the state-of-play in PDA, (ii) describes novel methodologies, (iii) fosters the deployment of these methodologies, and (iv) contributes to the strengthening of research on PDA. Portfolio problems are widely regarded as the single most important application context of decision analysis, and, with its extensive and unique coverage of these problems, this book is a much-needed addition to the literature. The book also presents innovative treatments of new methodological approaches and their uses in applications. The intended audience consists of practitioners and researchers who wish to gain a good understanding of portfolio decision analysis and insights into how PDA methods can be leveraged in different application contexts. The book can also be employed in courses at the post-graduate level. |
| problems in portfolio management: Value Innovation Portfolio Management Sheila Mello, Wayne Mackey, Ronald Lasser, Richard Tait, 2006-09-15 'Value Innovation Portfolio Management' presents a pioneering new product-selection method based on high customer value, better business strategy alignment, and optical investment intensity - allowing businesses to find success more often with new products. |
| problems in portfolio management: Risk-sensitive Investment Management Mark H A Davis, Sebastien Lleo, 2014-07-21 Over the last two decades, risk-sensitive control has evolved into an innovative and successful framework for solving dynamically a wide range of practical investment management problems.This book shows how to use risk-sensitive investment management to manage portfolios against an investment benchmark, with constraints, and with assets and liabilities. It also addresses model implementation issues in parameter estimation and numerical methods. Most importantly, it shows how to integrate jump-diffusion processes which are crucial to model market crashes.With its emphasis on the interconnection between mathematical techniques and real-world problems, this book will be of interest to both academic researchers and money managers. Risk-sensitive investment management links stochastic control and portfolio management. Because of its distinct emphasis on integrating advanced theoretical concepts into practical dynamic investment management tools, this book stands out from the existing literature in fundamental ways. It goes beyond mainstream research in portfolio management in a traditional static setting. The theoretical developments build on contemporary research in stochastic control theory, but are informed throughout by the need to construct an effective and practical framework for dynamic portfolio management.This book fills a gap in the literature by connecting mathematical techniques with the real world of investment management. Readers seeking to solve key problems such as benchmarked asset management or asset and liability management will certainly find it useful. |
| problems in portfolio management: Robust Portfolio Optimization and Management Frank J. Fabozzi, Petter N. Kolm, Dessislava A. Pachamanova, Sergio M. Focardi, 2007-06-04 Praise for Robust Portfolio Optimization and Management In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction. --Mark Kritzman, President and CEO, Windham Capital Management, LLC The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike. --John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University |
| problems in portfolio management: Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Selecting Superior Returns and Controlling Risk Richard C. Grinold, Ronald N. Kahn, 1999-11-16 This new edition of Active Portfolio Management continues the standard of excellence established in the first edition, with new and clear insights to help investment professionals. -William E. Jacques, Partner and Chief Investment Officer, Martingale Asset Management. Active Portfolio Management offers investors an opportunity to better understand the balance between manager skill and portfolio risk. Both fundamental and quantitative investment managers will benefit from studying this updated edition by Grinold and Kahn. -Scott Stewart, Portfolio Manager, Fidelity Select Equity ® Discipline Co-Manager, Fidelity Freedom ® Funds. This Second edition will not remain on the shelf, but will be continually referenced by both novice and expert. There is a substantial expansion in both depth and breadth on the original. It clearly and concisely explains all aspects of the foundations and the latest thinking in active portfolio management. -Eric N. Remole, Managing Director, Head of Global Structured Equity, Credit Suisse Asset Management. Mathematically rigorous and meticulously organized, Active Portfolio Management broke new ground when it first became available to investment managers in 1994. By outlining an innovative process to uncover raw signals of asset returns, develop them into refined forecasts, then use those forecasts to construct portfolios of exceptional return and minimal risk, i.e., portfolios that consistently beat the market, this hallmark book helped thousands of investment managers. Active Portfolio Management, Second Edition, now sets the bar even higher. Like its predecessor, this volume details how to apply economics, econometrics, and operations research to solving practical investment problems, and uncovering superior profit opportunities. It outlines an active management framework that begins with a benchmark portfolio, then defines exceptional returns as they relate to that benchmark. Beyond the comprehensive treatment of the active management process covered previously, this new edition expands to cover asset allocation, long/short investing, information horizons, and other topics relevant today. It revisits a number of discussions from the first edition, shedding new light on some of today's most pressing issues, including risk, dispersion, market impact, and performance analysis, while providing empirical evidence where appropriate. The result is an updated, comprehensive set of strategic concepts and rules of thumb for guiding the process of-and increasing the profits from-active investment management. |
| problems in portfolio management: Multicriteria Portfolio Construction with Python Elissaios Sarmas, Panos Xidonas, Haris Doukas, 2020-10-17 This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub. This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions. The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering. |
| problems in portfolio management: Quantitative Portfolio Management Michael Isichenko, 2021-08-31 Discover foundational and advanced techniques in quantitative equity trading from a veteran insider In Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. In this important book, you’ll discover: Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers, Quantitative Portfolio Management will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market. |
| problems in portfolio management: Investments and Portfolio Performance Edwin J. Elton, 2011 This book contains the recent contributions of Edwin J. Elton and Martin J. Gruber to the field of investments. All of the articles in this book have been published in the leading finance and economic journals. Sixteen of the twenty articles have been published in the last ten years. This book supplements the earlier contributions of the editors published by MIT Press in 1999. |
| problems in portfolio management: Manage Your Project Portfolio Johanna Rothman, 2016 You have too many projects, and firefighting and multitasking are keeping you from finishing any of them. You need to manage your project portfolio. This fully updated and expanded bestseller arms you with agile and lean ways to collect all your work and decide which projects you should do first, second, and never. See how to tie your work to your organization's mission and show your managers, your board, and your staff what you can accomplish and when. Picture the work you have, and make those difficult decisions, ensuring that all your strength is focused where it needs to be. All your projects and programs make up your portfolio. But how much time do you actually spend on your projects, and how much time do you spend on emergency fire drills or waste through multitasking? This book gives you insightful ways to rank all the projects you're working on and figure out the right staffing and schedule so projects get finished faster. The trick is adopting lean and agile approaches to projects, whether they're software projects, projects that include hardware, or projects that depend on chunks of functionality from other suppliers. Find out how to define the mission of your team, group, or department, with none of the buzzwords that normally accompany a mission statement. Armed with the work and the mission, you'll manage your portfolio better and make those decisions that define the true leaders in the organization. With this expanded second edition, discover how to scale project portfolio management from one team to the entire enterprise, and integrate Cost of Delay when ranking projects. Additional Kanban views provide even more ways to visualize your portfolio. |
| problems in portfolio management: Artificial Intelligence in Asset Management Söhnke M. Bartram, Jürgen Branke, Mehrshad Motahari, 2020-08-28 Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity. |
| problems in portfolio management: Efficient Asset Management Richard O. Michaud, Robert O. Michaud, 2008-03-03 In spite of theoretical benefits, Markowitz mean-variance (MV) optimized portfolios often fail to meet practical investment goals of marketability, usability, and performance, prompting many investors to seek simpler alternatives. Financial experts Richard and Robert Michaud demonstrate that the limitations of MV optimization are not the result of conceptual flaws in Markowitz theory but unrealistic representation of investment information. What is missing is a realistic treatment of estimation error in the optimization and rebalancing process. The text provides a non-technical review of classical Markowitz optimization and traditional objections. The authors demonstrate that in practice the single most important limitation of MV optimization is oversensitivity to estimation error. Portfolio optimization requires a modern statistical perspective. Efficient Asset Management, Second Edition uses Monte Carlo resampling to address information uncertainty and define Resampled Efficiency (RE) technology. RE optimized portfolios represent a new definition of portfolio optimality that is more investment intuitive, robust, and provably investment effective. RE rebalancing provides the first rigorous portfolio trading, monitoring, and asset importance rules, avoiding widespread ad hoc methods in current practice. The Second Edition resolves several open issues and misunderstandings that have emerged since the original edition. The new edition includes new proofs of effectiveness, substantial revisions of statistical estimation, extensive discussion of long-short optimization, and new tools for dealing with estimation error in applications and enhancing computational efficiency. RE optimization is shown to be a Bayesian-based generalization and enhancement of Markowitz's solution. RE technology corrects many current practices that may adversely impact the investment value of trillions of dollars under current asset management. RE optimization technology may also be useful in other financial optimizations and more generally in multivariate estimation contexts of information uncertainty with Bayesian linear constraints. Michaud and Michaud's new book includes numerous additional proposals to enhance investment value including Stein and Bayesian methods for improved input estimation, the use of portfolio priors, and an economic perspective for asset-liability optimization. Applications include investment policy, asset allocation, and equity portfolio optimization. A simple global asset allocation problem illustrates portfolio optimization techniques. A final chapter includes practical advice for avoiding simple portfolio design errors. With its important implications for investment practice, Efficient Asset Management 's highly intuitive yet rigorous approach to defining optimal portfolios will appeal to investment management executives, consultants, brokers, and anyone seeking to stay abreast of current investment technology. Through practical examples and illustrations, Michaud and Michaud update the practice of optimization for modern investment management. |
| problems in portfolio management: The Handbook of Project Portfolio Management Dennis Lock, Reinhard Wagner, 2018-10-09 Managing large and complex organizations; balancing the needs of business-as-usual, new products and services and business change; assuring risk across everything the business does; these are all core requirements of modern business which are provided by the discipline of portfolio management. The Handbook of Project Portfolio Management is the definitive publication that introduces and describes in detail project portfolio management in today’s ever-changing world. The handbook contains the essential knowledge required for managing portfolios of business change with real-life examples that are being used by today’s organizations in various industries and environments. The team of expert contributors includes many of the most experienced and highly regarded international writers and practitioners from the global project portfolio management industry, selected to provide the reader with examples, knowledge and the skills required to manage portfolios in any organization. Dennis Lock and Reinhard Wagner’s definitive reference on project portfolio management explains: the context and role of the discipline; the practical processes, tools and techniques required for managing portfolios successfully; the capability required and how to develop it. The text also covers the recognized standards as well as emerging issues such as sustainability and environment. Collectively, this is a must-have guide from the leading commentators and practitioners on project portfolio management from across the world. |
| problems in portfolio management: Portfolio Management in Practice, Volume 2 CFA Institute, 2020-01-11 Discover the latest essential resource on asset allocation for students and investment professionals. Part of the CFA Institute’s three-volume Portfolio Management in Practice series, Asset Allocation offers a deep, comprehensive treatment of the asset allocation process and the underlying theories and markets that support it. As the second volume in the series, Asset Allocation meets the needs of both graduate-level students focused on finance and industry professionals looking to become more dynamic investors. Filled with the insights and industry knowledge of the CFA Institute’s subject matter experts, Asset Allocation effectively blends theory and practice while helping the reader expand their skillsets in key areas of interest. This volume provides complete coverage on the following topics: Setting capital market expectations to support the asset allocation process Principles and processes in the asset allocation process, including handling ESG-integration and client-specific constraints Allocation beyond the traditional asset classes to include allocation to alternative investments The role of exchange-traded funds can play in implementing investment strategies An integrative case study in portfolio management involving a university endowment To further enhance your understanding of tools and techniques explored in Asset Allocation, don’t forget to pick up the Portfolio Management in Practice, Volume 2: Asset Allocation Workbook. The workbook is the perfect companion resource containing learning outcomes, summary overview sections, and challenging practice questions that align chapter-by-chapter with the main text. |
| problems in portfolio management: In Pursuit of the Perfect Portfolio Andrew W. Lo, Stephen R. Foerster, 2021-08-17 How the greatest thinkers in finance changed the field and how their wisdom can help investors today Is there an ideal portfolio of investment assets, one that perfectly balances risk and reward? In Pursuit of the Perfect Portfolio examines this question by profiling and interviewing ten of the most prominent figures in the finance world—Jack Bogle, Charley Ellis, Gene Fama, Marty Leibowitz, Harry Markowitz, Bob Merton, Myron Scholes, Bill Sharpe, Bob Shiller, and Jeremy Siegel. We learn about the personal and intellectual journeys of these luminaries—which include six Nobel Laureates and a trailblazer in mutual funds—and their most innovative contributions. In the process, we come to understand how the science of modern investing came to be. Each of these finance greats discusses their idea of a perfect portfolio, offering invaluable insights to today’s investors. Inspiring such monikers as the Bond Guru, Wall Street’s Wisest Man, and the Wizard of Wharton, these pioneers of investment management provide candid perspectives, both expected and surprising, on a vast array of investment topics—effective diversification, passive versus active investment, security selection and market timing, foreign versus domestic investments, derivative securities, nontraditional assets, irrational investing, and so much more. While the perfect portfolio is ultimately a moving target based on individual age and stage in life, market conditions, and short- and long-term goals, the fundamental principles for success remain constant. Aimed at novice and professional investors alike, In Pursuit of the Perfect Portfolio is a compendium of financial wisdom that no market enthusiast will want to be without. |
| problems in portfolio management: Introduction to Risk Parity and Budgeting Thierry Roncalli, 2016-04-19 Although portfolio management didn't change much during the 40 years after the seminal works of Markowitz and Sharpe, the development of risk budgeting techniques marked an important milestone in the deepening of the relationship between risk and asset management. Risk parity then became a popular financial model of investment after the global fina |
| problems in portfolio management: The Four Pillars of Portfolio Management Olivier Lazar, 2018-09-28 Portfolio management consists mainly of making decisions about which initiatives to undertake, which initiatives not to pursue, and which resources are to be allocated to which portfolio component. At least, that’s how it is most commonly presented in textbooks and courses. Indeed, it is all of that, but it is also so much more. Portfolio management is, of course, about making these decisions, but, more accurately, it is about making them with the goal of creating value for an organization’s wide population of stakeholders, both internal and external. This value is not only expressed in financial terms but also in social terms. The portfolio should create value for all stakeholders, who thereby support the portfolio organization and enable it to sustain itself. Portfolio management is about the realization of strategic vision, achieving a purpose, and developing an intelligent way of using resources to benefit stakeholders. This requires the ability to find a balance among the different dimensions of portfolio governance and among the constraints constantly shaping and reshaping the business environment. This is what portfolio management is truly about; this is what organizational management is about. The Four Pillars of Portfolio Management: Organizational Agility, Strategy, Risk, and Resources takes readers on a journey navigating the dimensions and constraints to be balanced and integrated as part of the portfolio and organizational decision-making process. By balancing the requirements of strategic alignment with the exposure to risk and by reconciling resource demands with capability, a portfolio manager can develop and sustain an organization despite the constant and dynamic evolution of the business environment. This book explains how to manage portfolios that create the agility all organizations require to survive and thrive. |
| problems in portfolio management: Capital Ideas Evolving Peter L. Bernstein, 2011-01-31 A lot has happened in the financial markets since 1992, when Peter Bernstein wrote his seminal Capital Ideas. Happily, Peter has taken up his facile pen again to describe these changes, a virtual revolution in the practice of investing that relies heavily on complex mathematics, derivatives, hedging, and hyperactive trading. This fine and eminently readable book is unlikely to be surpassed as the definitive chronicle of a truly historic era. John C. Bogle, founder of The Vanguard Group and author, The Little Book of Common Sense Investing Just as Dante could not have understood or survived the perils of the Inferno without Virgil to guide him, investors today need Peter Bernstein to help find their way across dark and shifting ground. No one alive understands Wall Street's intellectual history better, and that makes Bernstein our best and wisest guide to the future. He is the only person who could have written this book; thank goodness he did. Jason Zweig, Investing Columnist, Money magazine Another must-read from Peter Bernstein! This well-written and thought-provoking book provides valuable insights on how key finance theories have evolved from their ivory tower formulation to profitable application by portfolio managers. This book will certainly be read with keen interest by, and undoubtedly influence, a wide range of participants in international finance. Dr. Mohamed A. El-Erian, President and CEO of Harvard Management Company, Deputy Treasurer of Harvard University, and member of the faculty of the Harvard Business School Reading Capital Ideas Evolving is an experience not to be missed. Peter Bernstein's knowledge of the principal characters-the giants in the development of investment theory and practice-brings this subject to life. Linda B. Strumpf, Vice President and Chief Investment Officer, The Ford Foundation With great clarity, Peter Bernstein introduces us to the insights of investment giants, and explains how they transformed financial theory into portfolio practice. This is not just a tale of money and models; it is a fascinating and contemporary story about people and the power of their ideas. Elroy Dimson, BGI Professor of Investment Management, London Business School Capital Ideas Evolving provides us with a unique appreciation for the pervasive impact that the theory of modern finance has had on the development of our capital markets. Peter Bernstein once again has produced a masterpiece that is must reading for practitioners, educators and students of finance. Andr F. Perold, Professor of Finance, Harvard Business School |
| problems in portfolio management: Portfolio Management Scott D. Stewart, Christopher D. Piros, Jeffrey C. Heisler, 2019-03-26 A career’s worth of portfolio management knowledge in one thorough, efficient guide Portfolio Management is an authoritative guide for those who wish to manage money professionally. This invaluable resource presents effective portfolio management practices supported by their underlying theory, providing the tools and instruction required to meet investor objectives and deliver superior performance. Highlighting a practitioner’s view of portfolio management, this guide offers real-world perspective on investment processes, portfolio decision making, and the business of managing money for real clients. Real world examples and detailed test cases—supported by sophisticated Excel templates and true client situations—illustrate real investment scenarios and provide insight into the factors separating success from failure. The book is an ideal textbook for courses in advanced investments, portfolio management or applied capital markets finance. It is also a useful tool for practitioners who seek hands-on learning of advanced portfolio techniques. Managing other people’s money is a challenging and ever-evolving business. Investment professionals must keep pace with the current market environment to effectively manage their client’s assets while students require a foundation built on the most relevant, up-to-date information and techniques. This invaluable resource allows readers to: Learn and apply advanced multi-period portfolio methods to all major asset classes. Design, test, and implement investment processes. Win and keep client mandates. Grasp the theoretical foundations of major investment tools Teaching and learning aids include: Easy-to-use Excel templates with immediately accessible tools. Accessible PowerPoint slides, sample exam and quiz questions and sample syllabi Video lectures Proliferation of mathematics in economics, growing sophistication of investors, and rising competition in the industry requires advanced training of investment professionals. Portfolio Management provides expert guidance to this increasingly complex field, covering the important advancements in theory and intricacies of practice. |
| problems in portfolio management: Running Money: Professional Portfolio Management Scott Stewart, Christopher Piros, Jeffrey Heisler, 2010-01-28 Running Money: Professional Portfolio Management 1e focuses on the business investment decision-making from the perspective of the portfolio manager. The authors combined professional experience managing multi-billion-dollar mandates, working with real clients, and solving real investment problems is reflected throughout the text. Their goal is to expose students to what it is really like to “run money” professionally by providing the necessary tools. This new text is most effectively used in conjunction with cases, projects, and real-time portfolios requiring “hands on” application of the material. Excel Spreadsheets and Outboxes help the students understand the approach of this first edition text. |
| problems in portfolio management: Global Asset Allocation Jess Lederman, Robert A. Klein, 1994-09-30 Buying this book could be the smartest investment you make this season. If that sounds like a bold claim, just take a look at the list of contributors. In it you'll find the names of twenty-nine of the world's foremost experts in asset allocation. Over the course of twenty chapters, these accomplished institutional investors, academics, analysts, and traders school you in all of the hottest new portfolio management techniques now in use around the globe. Not another abstruse discourse on the theoretical pros and cons of asset allocation, Global Asset Allocation is a working, nuts-and-bolts guide for institutional investors. It outfits you with a set of versatile new tools and techniques designed to solve real-world problems and guide your portfolio management decision-making. While broad theoretical considerations are given their due, the lion's share of this book's coverage is commanded by cutting-edge technical issues such as mean variance optimization, allocating between styles of equity management, optimal fixed income portfolios, asset/liability forecasting, the critical time horizon, target asset allocation, and chaos theory. In addition to all of the traditional classes of asset allocations, Global Asset Allocation explores a number of new and emerging investment horizons. Foremost among these is the ultimate investment frontier, international markets, to which a sizeable portion of the book (all of Part Two) is devoted. You'll find in-depth discussions of the qualitative and quantitative aspects of global asset allocation, in which various experts describe the latest global asset allocation models, optimization methods, forecasting techniques, global bond and currency management strategies, risk and return analysis in country-to-country allocation strategies, active and passive management portfolio strategies, and much more. Offering world-class strategies for managing global portfolios, Global Asset Allocation is an essential resource for corporate finance professionals, pension plan sponsors, analysts, and portfolio managers looking to expand their repertoire of financial management skills. From asset liability forecasting and target asset allocation, to critical time horizon and implementing overlay strategies, this groundbreaking new guide educates institutional investors in state-of-the-art portfolio management strategies guaranteed to minimize risk while maximizing returns. Bringing you the combined insights and expertise of twenty-nine prominent investment experts from around the world, Global Asset Allocation is a working handbook, designed to guide your portfolio management decision-making and help you to solve real-world problems. * The latest asset allocation models, optimization methods, and forecasting techniques, including passive and active portfolio strategies * Includes six major chapters on global asset allocation, including currency management and emerging market investing Traders, portfolio managers...investment professionals of every ilk: read this book, and use the versatile new strategies, tools, and techniques it describes to give your investment skills a razor-sharp, winning edge. |
| problems in portfolio management: Quantitative Equity Portfolio Management Ludwig B. Chincarini, Daehwan Kim, 2010-08-18 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. |
| problems in portfolio management: Robust Portfolio Optimization and Management Frank J. Fabozzi, Petter N. Kolm, Dessislava A. Pachamanova, Sergio M. Focardi, 2007-04-27 Praise for Robust Portfolio Optimization and Management In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction. --Mark Kritzman, President and CEO, Windham Capital Management, LLC The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike. --John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University |
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