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This revised seventh edition lays a firm foundation for thinking about and conducting investment. It does this by helping to build capital markets intuition and critical thinking skills. The material in this book is the product of 25+ years of investment research and experience (academic, personal, and professional), and 20+ painstaking years of destructive testing in university classrooms. Although the topic is applied investments, the integration of finance, economics, accounting, pure mathematics, statistics, numerical techniques, and spreadsheets (or programming) make this an ideal capstone course at the advanced undergraduate or masters/MBA level. The book has a heavily scientific/quantitative focus, but the material should be accessible to a motivated practitioner or talented individual investor with (for the most part) only high school level mathematics. Although aimed at the advanced undergraduate or masters/MBA level, the careful explanations of a wide range of advanced capital markets topics makes this an excellent book for a U.S. PhD student in need of an easily accessible foundation course in capital markets theory and practice. There are literature reviews of multiple advanced areas, and more than 30 unanswered research questions are identified; these research questions would be ideal for a master's thesis or a chapter of a PhD. The applied nature of the book also makes it ideal for capital markets practitioners. For example, in one exercise, the reader is taken by the hand and walked through construction of a worked spreadsheet example of an active alpha optimization using actual stock market data. (The reader gets to build ex-ante alphas, and feed them into an optimization that weighs returns, risk, and transaction costs. A portfolio is rebalanced based on the optimization, and ultimately a backtest is conducted to measure ex post alpha.) Other practitioner material includes advanced time value of money exercises, a review of retirement topics, an extensive discussion of dividends, P/E ratios, transaction costs, the CAPM, and value versus growth versus glamour, and a review of more than 100 years of stock market performance, and more than 200 years of interest rates. The list of references at the end of this edition of the book has over 830 items from the academic and practitioner literature. The index has over 7,000 entries (in over 4,000 lines). Special attention is paid to more difficult topics like the Roll critique, smart beta, factor-based investing, and Grinold-Kahn versus Black-Litterman models. Every investor needs capital markets intuition and critical thinking skills to conduct confident, deliberate, and skeptical investment. The overarching goal of this book is to help investors build these skills. Note that a separate book with more than 500 test questions exists to accompany this book.
The need-to-know essentials of investing This book explains the conceptual foundations of investing to improve investor performance. There are a host of investment mistakes that can be avoided by such an understanding. One example involves the trade-off between risk and return. The trade-off seems to imply that if you bear more risk you will have higher long-run average returns. That conclusion is false. It is possible to bear a great deal of risk and get no benefit in terms of higher average return. Understanding the conceptual foundations of finance makes it clear why this is so and, thereby, helps an investor avoid bearing uncompensated risks. Another choice every investor has to make is between active versus passive investing. Making that choice wisely requires understanding the conceptual foundations of investing. • Instructs investors willing to take the time to learn all of the concepts in layman’s terms • Teaches concepts without overwhelming readers with math • Helps you strengthen your portfolio • Shows you the fundamental concepts of active investing The Conceptual Foundations of Investing is ultimately for investors looking to understand the science behind successful investing.
This revised sixth edition lays a firm foundation for thinking about and conducting investment. It does this by helping to build capital markets intuition and critical thinking skills. The material in this book is the product of 25 years of investment experience and 20 painstaking years of destructive testing in university classrooms. Although the topic is applied investments, the integration of finance, economics, accounting, pure mathematics, statistics, numerical techniques, and spreadsheets (or programming) make this an ideal capstone course at the advanced undergraduate or masters/MBA level. The book has a heavily scientific/quantitative focus, but the material should be accessible to a motivated practitioner or talented individual investor with (for the most part) only high school level mathematics. Although aimed at the advanced undergraduate or masters/MBA level, the careful explanations of a wide range of advanced capital markets topics makes this an excellent book for a U.S. PhD student in need of an easily accessible foundation course in capital markets theory and practice. There are literature reviews of multiple advanced areas, and many research questions are identified that need to be answered to fill gaps in the literature; these research questions would be ideal for a master's thesis or a chapter of a PhD. The applied nature of the book also makes it ideal for capital markets practitioners. For example, in one exercise, the reader is taken by the hand and walked through construction of a worked spreadsheet example of an active alpha optimization using actual stock market data. (The reader gets to build ex-ante alphas, and feed them into an optimization that weighs returns, risk, and transaction costs. A portfolio is rebalanced based on the optimization, and ultimately a backtest is conducted to measure ex post alpha.) Other practitioner material includes advanced time value of money exercises, a review of retirement topics, an extensive discussion of dividends, P/E ratios, transaction costs, the CAPM, and value versus growth versus glamour, and a review of more than 100 years of stock market performance, and more than 200 years of interest rates. The list of references at the end of this edition of the book has over 900 items from the academic and practitioner literature. The index has over 7,000 entries (in over 3,900 lines). Special attention is paid to difficult topics like the Roll critique, smart beta, factor-based investing, and Grinold-Kahn versus Black-Litterman models. Every investor needs capital markets intuition and critical thinking skills to conduct confident, deliberate, and skeptical investment. The overarching goal of this book is to help investors build these skills.
[Note: eBook version of latest edition now available; see Amazon author page for details.] This revised seventh edition of the Q&A book accompanies the Foundations for Scientific Investing text. It provides 600+ multiple-choice, and 125 short-answer questions to accompany the long-answer questions already appearing in Foundations for Scientific Investing. The long-answer questions are repeated here also. The suggested solutions to the multiple-choice and short-answer questions appear here and are also available free of charge at the Web site for the book. If you have purchased the eBook version of this book (which uses DRM-PDF and is not able to be printed), it might be easiest to print out the Web-based solutions to consult while viewing the eBook questions. The multiple choice questions may also be useful as a test bank for instructors in any advanced investments class.
In Foundation and Endowment Investing, authors Lawrence Kochard and Cathleen Rittereiser offer you a detailed look at this fascinating world and the strategies used to achieve success within it. Filled with in-depth insights and expert advice, this reliable resource profiles twelve of the most accomplished Chief Investment Officers within today’s foundation and endowment community—chronicling their experiences, investment philosophies, and the challenges they face—and shares important lessons that can be used as you go about your own investment endeavors.
The bestselling author of Pioneering Portfolio Management, the definitive template for institutional fund management, returns with a book that shows individual investors how to manage their financial assets. In Unconventional Success, investment legend David F. Swensen offers incontrovertible evidence that the for-profit mutual fund industry consistently fails the average investor. From excessive management fees to the frequent "churning" of portfolios, the relentless pursuit of profits by mutual fund management companies harms individual clients. Perhaps most destructive of all are the hidden schemes that limit investor choice and reduce returns, including "pay-to-play" product-placement fees, stale-price trading scams, soft-dollar kickbacks, and 12b-1 distribution charges. Even if investors manage to emerge unscathed from an encounter with the profit-seeking mutual fund industry, individuals face the likelihood of self-inflicted pain. The common practice of selling losers and buying winners (and doing both too often) damages portfolio returns and increases tax liabilities, delivering a one-two punch to investor aspirations. In short: Nearly insurmountable hurdles confront ordinary investors. Swensen's solution? A contrarian investment alternative that promotes well-diversified, equity-oriented, "market-mimicking" portfolios that reward investors who exhibit the courage to stay the course. Swensen suggests implementing his nonconformist proposal with investor-friendly, not-for-profit investment companies such as Vanguard and TIAA-CREF. By avoiding actively managed funds and employing client-oriented mutual fund managers, investors create the preconditions for investment success. Bottom line? Unconventional Success provides the guidance and financial know-how for improving the personal investor's financial future.
Foundations of Real Estate Financial Modelling is specifically designed to provide an overview of pro forma modelling for real estate projects. The book introduces students and professionals to the basics of real estate finance theory before providing a step-by-step guide for financial model construction using Excel. The idea that real estate is an asset with unique characteristics which can be transformed, both physically and financially, forms the basis of discussion. Individual chapters are separated by functional unit and build upon themselves to include information on: Amortization Single-Family Unit Multi-Family Unit Development/Construction Addition(s) Waterfall (Equity Bifurcation) Accounting Statements Additional Asset Classes Further chapters are dedicated to risk quantification and include scenario, stochastic and Monte Carlo simulations, waterfalls and securitized products. This book is the ideal companion to core real estate finance textbooks and will boost students Excel modelling skills before they enter the workplace. The book provides individuals with a step-by-step instruction on how to construct a real estate financial model that is both scalable and modular. A companion website provides the pro forma models to give readers a basic financial model for each asset class as well as methods to quantify performance and understand how and why each model is constructed and the best practices for repositioning these assets.
Social Value Investing presents a new way to approach some of society’s most difficult and intractable challenges. Although many of our world’s problems may seem too great and too complex to solve — inequality, climate change, affordable housing, corruption, healthcare, food insecurity — solutions to these challenges do exist, and will be found through new partnerships bringing together leaders from the public, private, and philanthropic sectors. In their new book, Howard W. Buffett and William B. Eimicke present a five-point management framework for developing and measuring the success of such partnerships. Inspired by value investing — one of history’s most successful investment paradigms — this framework provides tools to maximize collaborative efficiency and positive social impact, so that major public programs can deliver innovative, inclusive, and long-lasting solutions. It also offers practical insights for any private sector CEO, public sector administrator, or nonprofit manager hoping to build successful cross-sector collaborations. Social Value Investing tells the compelling stories of cross-sector partnerships from around the world — Central Park and the High Line in New York City, community-led economic development in Afghanistan, and improved public services in cities across Brazil. Drawing on lessons and observations from a broad selections of collaborations, this book combines real life stories with detailed analysis, resulting in a blueprint for effective, sustainable partnerships that serve the public interest. Readers also gain access to original, academic case material and professionally produced video documentaries for every major partnerships profiled — bringing to life the people and stories in a way that few other business or management books have done.
[Note: eBook version of latest edition now available; see Amazon author page for details.] Every investor needs capital markets intuition and critical thinking skills to conduct confident, deliberate, and skeptical investment. The overarching goal of this book is to help investors build these skills. This revised tenth edition is the product of 25+ years of investment research and experience (academic, personal, and professional), and 20+ painstaking years of destructive testing in university classrooms. Although the topic is applied investments, the integration of finance, economics, accounting, pure mathematics, statistics, numerical techniques, and spreadsheets (or programming) make this an ideal capstone course at the advanced undergraduate or masters/MBA level. The book has a heavily scientific/quantitative focus, but the material should be accessible to a motivated practitioner or talented individual investor with (for the most part) only high school level mathematics or intermediate level university mathematics. Although aimed at the advanced undergraduate or masters/MBA level, the careful explanations of a wide range of advanced capital markets topics makes this an excellent book for a U.S. PhD student in need of an easily accessible foundation course in capital markets theory and practice. There are literature reviews of multiple advanced areas, and more than 30 unanswered research questions are identified; these research questions would be ideal for a master's thesis or a chapter of a PhD. The applied nature of the book also makes it ideal for capital markets practitioners. For example, in one exercise, the reader is taken by the hand and walked through construction of a worked spreadsheet example of an active alpha optimization using actual stock market data. (The reader gets to build ex-ante alphas, and feed them into an optimization that weighs returns, risk, and transaction costs. A portfolio is rebalanced based on the optimization, and ultimately a backtest is conducted to measure ex post alpha.) Other practitioner material includes advanced time value of money exercises, a review of retirement topics, extensive discussions of dividends, P/E ratios, transaction costs, the CAPM, value versus growth versus glamour versus income, and a review of more than 100 years of stock market performance and more than 200 years of interest rates. The book contains more than 65 "Quant Quizzes," containing over 100 individual questions. Each is designed to reinforce key ideas. There are also a dozen "You Need to Know boxes," each of which focuses on a very important point that is often taught poorly or overlooked completely in university courses. Special attention is paid to more difficult topics like construction of Student-t statistics, the Roll critique, smart beta, factor-based investing, the Fama-French critique, and Grinold-Kahn versus Black-Litterman models (note that a hybrid Grinold-Kahn/Black-Litterman model is introduced). A key diagram shows how the following models are related to each other: Martingale, Random Walk, ABM, GBM, APT, CAPM, Markowitz, Tobin, Zero-Beta CAPM, CAPM, Black-Scholes, Bachelier, etc. Also, the Roll Critique and the Black Zero-Beta CAPM are both generalized to include reference portfolios that are not necessarily fully invested. The list of references has 1,116 items from the academic and practitioner literature and the index has 9,249 entries (in 4,358 lines). Finally, note that a separate book exists with more than 600 class-tested questions to accompany this book (Foundations for Scientific Investing: Multiple-Choice, Short-Answer, and Long-Answer Test Questions).