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Portfolio Construction And Risk Budgeting
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Book Synopsis Portfolio Construction and Risk Budgeting by : Bernd Scherer
Download or read book Portfolio Construction and Risk Budgeting written by Bernd Scherer and published by . This book was released on 2002 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: It provides the key concepts and methods to implement quantitatively-driven portfolio construction. Areas include satellite investing, estimation error heuristics, scenario optimisation, mean variance investing, Bayesian methods, budgeting active risk, non-normality and multiple manager allocation. The emphasis is on practical applications and problem-solving written in a highly accessible style. The title contains quantitative analysis that is supported by extensive examples, tables and charts to help practitioners adopt the subject matter in their day-to-day work.
Book Synopsis Introduction to Risk Parity and Budgeting by : Thierry Roncalli
Download or read book Introduction to Risk Parity and Budgeting written by Thierry Roncalli and published by CRC Press. This book was released on 2016-04-19 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Portfolio Diversification by : Francois-Serge Lhabitant
Download or read book Portfolio Diversification written by Francois-Serge Lhabitant and published by Elsevier. This book was released on 2017-09-26 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio Diversification provides an update on the practice of combining several risky investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book, readers will find a comprehensive introduction and analysis of various dimensions of portfolio diversification (assets, maturities, industries, countries, etc.), along with time diversification strategies (long term vs. short term diversification) and diversification using other risk measures than variance. Several tools to quantify and implement optimal diversification are discussed and illustrated. - Focuses on portfolio diversification across all its dimensions - Includes recent empirical material that was created and developed specifically for this book - Provides several tools to quantify and implement optimal diversification
Book Synopsis Handbook of Portfolio Construction by : John B. Guerard, Jr.
Download or read book Handbook of Portfolio Construction written by John B. Guerard, Jr. and published by Springer Science & Business Media. This book was released on 2009-12-12 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio construction is fundamental to the investment management process. In the 1950s, Harry Markowitz demonstrated the benefits of efficient diversification by formulating a mathematical program for generating the "efficient frontier" to summarize optimal trade-offs between expected return and risk. The Markowitz framework continues to be used as a basis for both practical portfolio construction and emerging research in financial economics. Such concepts as the Capital Asset Pricing Model (CAPM) and the Arbitrage Pricing Theory (APT), for example, provide the foundation for setting benchmarks, for predicting returns and risk, and for performance measurement. This volume showcases original essays by some of today’s most prominent academics and practitioners in the field on the contemporary application of Markowitz techniques. Covering a wide spectrum of topics, including portfolio selection, data mining tests, and multi-factor risk models, the book presents a comprehensive approach to portfolio construction tools, models, frameworks, and analyses, with both practical and theoretical implications.
Book Synopsis Modern Investment Management by : Bob Litterman
Download or read book Modern Investment Management written by Bob Litterman and published by John Wiley & Sons. This book was released on 2004-11-19 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieser Band füllt eine echte Marktlücke. "Goldman Sach's Modern Investment" gibt eine Einführung in moderne Investment Management Verfahren, wie sie von Goldman Sachs Asset Management verwendet werden, um erstklassige Investitionsrenditen zu erzielen. Erläutert werden u.a. die moderne Portfoliotheorie (Portfoliodiversifikation zur Risikostreuung), Capital Asset Pricing (Verfahren zur Ermittlung des Risiko-Rendite-Austauschverhältnisses von Finanzanlagen, bei dem der unterschiedliche Risikogehalt von Finanztiteln berücksichtigt wird) sowie eine Reihe aktueller Themen wie z.B. strategische Portfoliostrukturierung, Risikobudgetierung und aktives Portfolio Management. Hier erhalten Sie die Mittel an die Hand, um die Goldman Sachs Asset Management Methode für sich selbst umzusetzen. Das von Fischer Black und Bob Litterman gemeinsam entwickelte Black-Litterman Asset Allocation Model gehört zu den angesehensten und meist verwendeten Modellen zur Portfoliostrukturierung. Litterman und seine Asset Management Group sind oft die treibende Kraft, wenn es um Portfoliostrukturierung und Investmententscheidungen der 100 international größten Pensionsfonds geht.
Book Synopsis Pioneering Portfolio Management by : David F. Swensen
Download or read book Pioneering Portfolio Management written by David F. Swensen and published by Simon and Schuster. This book was released on 2009-01-06 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Quantitative Credit Portfolio Management by : Arik Ben Dor
Download or read book Quantitative Credit Portfolio Management written by Arik Ben Dor and published by John Wiley & Sons. This book was released on 2011-11-08 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds—spread, liquidity, and Treasury yield curve risk—as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.
Book Synopsis Machine Learning for Asset Management by : Emmanuel Jurczenko
Download or read book Machine Learning for Asset Management written by Emmanuel Jurczenko and published by John Wiley & Sons. This book was released on 2020-10-06 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.
Book Synopsis Factor Investing and Asset Allocation: A Business Cycle Perspective by : Vasant Naik
Download or read book Factor Investing and Asset Allocation: A Business Cycle Perspective written by Vasant Naik and published by CFA Institute Research Foundation. This book was released on 2016-12-30 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Risk Analysis and Portfolio Modelling by : Elisa Luciano
Download or read book Risk Analysis and Portfolio Modelling written by Elisa Luciano and published by MDPI. This book was released on 2019-10-16 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
Book Synopsis Strategic Asset Allocation by : John Y. Campbell
Download or read book Strategic Asset Allocation written by John Y. Campbell and published by OUP Oxford. This book was released on 2002-01-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.
Book Synopsis The Owner's Role in Project Risk Management by : National Research Council
Download or read book The Owner's Role in Project Risk Management written by National Research Council and published by National Academies Press. This book was released on 2005-02-25 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective risk management is essential for the success of large projects built and operated by the Department of Energy (DOE), particularly for the one-of-a-kind projects that characterize much of its mission. To enhance DOE's risk management efforts, the department asked the NRC to prepare a summary of the most effective practices used by leading owner organizations. The study's primary objective was to provide DOE project managers with a basic understanding of both the project owner's risk management role and effective oversight of those risk management activities delegated to contractors.
Book Synopsis Financial Risk Modelling and Portfolio Optimization with R by : Bernhard Pfaff
Download or read book Financial Risk Modelling and Portfolio Optimization with R written by Bernhard Pfaff and published by John Wiley & Sons. This book was released on 2016-08-16 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.
Book Synopsis Portfolio and Investment Analysis with SAS by : John B. Guerard
Download or read book Portfolio and Investment Analysis with SAS written by John B. Guerard and published by SAS Institute. This book was released on 2019-04-03 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.
Book Synopsis Efficient Asset Management by : Richard O. Michaud
Download or read book Efficient Asset Management written by Richard O. Michaud and published by Oxford University Press. This book was released on 2008-03-03 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Risk Less and Prosper by : Zvi Bodie
Download or read book Risk Less and Prosper written by Zvi Bodie and published by John Wiley & Sons. This book was released on 2011-12-27 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to getting personal investing right Somewhere along the way, something has gone very wrong with the way individuals save and invest. Too often, households are drawn in by promotional suggestions masquerading as impartial investment advice. Consumers get saddled with more risk than they realize. Authors Zvi Bodie and Rachelle Taqqu understand the dilemma that today's investors face, and with Risk Less and Prosper they will help you find your financial footing. Written in an accessible style, this practical guide skillfully explains why personal investing is all about you—your goals, your values and your career path. It shows how to understand investment risk and choose the particular blend of risk and safety that is right for you. And it lays out several simple yet powerful ways for small investors to cast a reliable safety net to achieve their financial goals and truly prosper. Coauthors Bodie and Taqqu challenge the myth that all investments require risk, then highlight some important risks that families often disregard when deciding where to put their money. Later, they connect the dots between investment and investor, showing us all how to grasp our own investment risk profiles and how we may use these insights to make more fitting investment choices. Outlines a straightforward way to invest by aligning your investments with your goals and the risk levels you can bear Provides basic investment abc's for readers who are otherwise literate Lays out a simple, actionable plan for achieving your goals Explains the role of risk-free assets and investment insurance in assuring that you reach your most essential goals Contrary to popular belief, investing doesn't have to be complicated. You can build wealth without taking great risks. Risk Less and Prosper will show you how to make investment decisions that will make your financial life less stressful and more profitable.
Book Synopsis Machine Learning for Asset Managers by : Marcos M. López de Prado
Download or read book Machine Learning for Asset Managers written by Marcos M. López de Prado and published by Cambridge University Press. This book was released on 2020-04-22 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
