In Wise Money, bestselling personal finance author Daniel Wildermuth reveals the investing worlds biggest secret for increasing returns and decreasing volatilityendowment investing. He provides investors of all levels all the information, insight, and methods they need to replicate the success endowment investors have been enjoying for years.
The secret to one of the most successful strategies of the last several decades--endowment investing While individual investors have struggled in recent years, many college endowments have reaped the benefits of steady year-over-year growth. In Wise Money, bestselling personal finance author Daniel Wildermuth reveals the investing world's biggest secret and helps you replicate the performance endowment investors have been enjoying for years. This results-driven book shows you how to: Create a portfolio similar to those used by the most sophisticated investors in the world Combine different investments to potentially provide both high income and strong growth potential Reduce your wealth's exposure to risk and volatility through intelligent diversification Include investments that are likely to excel during times of higher inflation Select various alternative investments that you may be able to use to dramatically improve your financial health Take it from a five-star wealth manager: Wise Money puts you at the head of the class with the investors who have all the money.
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.
A do-it-yourself guide to investing like the renowned Harvard and Yale endowments. The Ivy Portfolio shows step-by-step how to track and mimic the investment strategies of the highly successful Harvard and Yale endowments. Using the endowment Policy Portfolios as a guide, the authors illustrate how an investor can develop a strategic asset allocation using an ETF-based investment approach. The Ivy Portfolio also reveals a novel method for investors to reduce their risk through a tactical asset allocation strategy to protect them from bear markets. The book will also showcase a method to follow the smart money and piggyback the top hedge funds and their stock-picking abilities. With readable, straightforward advice, The Ivy Portfolio will show investors exactly how this can be accomplished—and allow them to achieve an unparalleled level of investment success in the process. With all of the uncertainty in the markets today, The Ivy Portfolio helps the reader answer the most often asked question in investing today - "What do I do"?
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.
Universities and the social circuitry of finance -- Our new financial oligarchy -- Bankers to the rescue : the political turn to student debt -- The top : how universities became hedge funds -- The bottom : a Wall Street takeover of for-profit colleges -- The middle : a hidden squeeze on public universities -- Reimagining (higher education) finance from below -- Methodological appendix : a comparative, qualitative, and quantitative study of elites.
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.
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.
