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The primary objective of this book is to delve into how institutional and individual stock investors can evaluate portfolio performance through a typical assessment of the endowment fund of the University of Ibadan, Nigeria's premier university, as an institutional investor, over an evaluation period of five years, relative to a benchmark portfolio. This is in line with the modern portfolio theory of Harry Markowitz (1952), a Nobel Prize winner in 1990. The book begins with an introduction in chapter one. Chapter two is a synthesis of what constitutes the modern portfolio theory as well as of empirical evidence on the applications of the theory and the alternative theories subsequently developed. Chapter three reveals the techniques for evaluating portfolio performance while chapter four discusses about endowment funds in general. Chapter five presents the results of the application of the evaluation techniques. In conclusion, chapter six rounds up with the summary, recommendations and bibliography.
A Tea Reader contains a selection of stories that cover the spectrum of life. This anthology shares the ways that tea has changed lives through personal, intimate stories. Read of deep family moments, conquered heartbreak, and peace found in the face of loss. A Tea Reader includes stories from all types of tea people: people brought up in the tea tradition, those newly discovering it, classic writings from long-ago tea lovers and those making tea a career. Together these tales create a new image of a tea drinker. They show that tea is not simply something you drink, but it also provides quiet moments for making important decisions, a catalyst for conversation, and the energy we sometimes need to operate in our lives. The stories found in A Tea Reader cover the spectrum of life, such as the development of new friendships, beginning new careers, taking dream journeys, and essentially sharing the deep moments of life with friends and families. Whether you are a tea lover or not, here you will discover stories that speak to you and inspire you. Sit down, grab a cup, and read on.
DIY Financial Advisor: A Simple Solution to Build and Protect Your Wealth DIY Financial Advisor is a synopsis of our research findings developed while serving as a consultant and asset manager for family offices. By way of background, a family office is a company, or group of people, who manage the wealth a family has gained over generations. The term 'family office' has an element of cachet, and even mystique, because it is usually associated with the mega-wealthy. However, practically speaking, virtually any family that manages its investments—independent of the size of the investment pool—could be considered a family office. The difference is mainly semantic. DIY Financial Advisor outlines a step-by-step process through which investors can take control of their hard-earned wealth and manage their own family office. Our research indicates that what matters in investing are minimizing psychology traps and managing fees and taxes. These simple concepts apply to all families, not just the ultra-wealthy. But can—or should—we be managing our own wealth? Our natural inclination is to succumb to the challenge of portfolio management and let an 'expert' deal with the problem. For a variety of reasons we discuss in this book, we should resist the gut reaction to hire experts. We suggest that investors maintain direct control, or at least a thorough understanding, of how their hard-earned wealth is managed. Our book is meant to be an educational journey that slowly builds confidence in one's own ability to manage a portfolio. We end our book with a potential solution that could be applicable to a wide-variety of investors, from the ultra-high net worth to middle class individuals, all of whom are focused on similar goals of preserving and growing their capital over time. DIY Financial Advisor is a unique resource. This book is the only comprehensive guide to implementing simple quantitative models that can beat the experts. And it comes at the perfect time, as the investment industry is undergoing a significant shift due in part to the use of automated investment strategies that do not require a financial advisor's involvement. DIY Financial Advisor is an essential text that guides you in making your money work for you—not for someone else!
The guide for investors who want a better understanding of investment strategies that have stood the test of time This thoroughly revised and updated edition of Investment Philosophies covers different investment philosophies and reveal the beliefs that underlie each one, the evidence on whether the strategies that arise from the philosophy actually produce results, and what an investor needs to bring to the table to make the philosophy work. The book covers a wealth of strategies including indexing, passive and activist value investing, growth investing, chart/technical analysis, market timing, arbitrage, and many more investment philosophies. Presents the tools needed to understand portfolio management and the variety of strategies available to achieve investment success Explores the process of creating and managing a portfolio Shows readers how to profit like successful value growth index investors Aswath Damodaran is a well-known academic and practitioner in finance who is an expert on different approaches to valuation and investment This vital resource examines various investing philosophies and provides you with helpful online resources and tools to fully investigate each investment philosophy and assess whether it is a philosophy that is appropriate for you.
Measuring Investment Performance is the new bible for measuring performance in the money management industry. Working under the assumption that statistics used to measure performance should be appropriate, consistent, bias-free, and standardized, financial management consultant David Spaulding delivers an insightful (and often witty) resource for guaranteeing that you are acting appropriately and with the greatest chance of success as a financial advisor or, if you are an investor, that you or your company are in the correct investment every time.
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.
In order to make sound investment choices, investors must know the projected return on investment in relation to the risk of not being paid. Benchmarks are excellent evaluators, but the failure to choose the right investing performance benchmark often leads to bad decisions or inaction, which inevitably results in lost profits. The first book of its kind, Portfolio Performance Measurement and Benchmarking is a complete guide to benchmarks and performace evaluation using benchmarks. In one inclusive volume, readers get foundational coverage on benchmark construction, as well as expert insight into specific benchmarks for asset classes and investment styles. Starting with the basics—such as return calculations and methods of dealing with cash flows—this thorough book covers a wide variety of performance measurement methodologies and evaluation techniques before moving into more technical material that deconstructs both the creation of indexes and the components of a desirable benchmark. Portfolio Performance Measurement and Benchmarking provides detailed coverage of benchmarks for: U.S. equities Global and international equities Fixed income Real estate The team of renowned authors offers illuminating opinions on the philosophy and development of equity indexes, while highlighting numerous mechanical problems inherent in building benchmarks and the implications of each one. Before you make your next investment, be certain your return will be worth the risk with Portfolio Performance Measurement and Benchmarking.
Many investment books include a chapter or two on investment performance measurement or focus on a single aspect, but only one book addresses the breadth of the field. Investment Performance Measurement is a comprehensive guide that covers the subjects of performance and risk calculation, attribution, presentation, and interpretation. This information-packed book covers a wide range of related topics, including calculation of the returns earned by portfolios; measurement of the risks taken to earn these returns; measurement of the risk and return efficiency of the portfolio and other indicators of manager skill; and much more. By reviewing both the concepts of performance measurement and examples of how they are used, readers will gain the insight necessary to understand and evaluate the management of investment funds. Investment Performance Measurement makes extensive use of fully worked examples that supplement formulas and is a perfect companion to professional courses and seminars for analysts. Bruce J. Feibel, CFA, is Product Manager at Eagle Investment Systems, an investment management software provider located in Newton, Massachusetts. He is responsible for overseeing the development of Eagle's investment performance measurement, attribution, and AIMR/GIPS compliance software. Prior to joining Eagle, Mr. Feibel was a principal at State Street Global Advisors. He earned his BS in accounting from the University of Florida.
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.