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.

This book covers each step in the asset allocation process, addressing as many of the relevant questions as possible along the way. How can we formulate expectations about long-term returns? How relevant are valuations? What are the challenges to optimizing the portfolio? Can factor investing add value and, if so, how can it be implemented? Which are the key performance drivers for each asset class, and what determines how they are correlated? How can we apply insights about the business cycle to tactical asset allocation? The book is aimed at finance professionals and others looking for a coherent framework for decision-making in asset allocation, both at the strategic and tactical level. It stresses analysis rather than pre-conceived ideas about investments, and it draws on both empirical research and practical experience to give the reader as strong a background as possible.

Matlab is used within nearly all investment banks and is a requirement in most quant job ads. There is no other book written for finance practitioners that covers this Enables readers to implement financial and econometric models in Matlab All central concepts and theories are illustrated by Matlab implementations which are accompanied by detailed descriptions of the programming steps needed All concepts and techniques are introduced from a basic level Chapter 1 introduces Matlab and matrix algebra, it serves to make the reader familiar with the use and basic capabilities if Matlab. The chapter concludes with a walkthrough of a linear regression model, showing how Matlab can be used to solve an example problem analytically and by the use of optimization and simulation techniques Chapter 2 introduces expected return and risk as central concepts in finance theory using fixed income instruments as examples, the chapter illustrates how risk measures such as standard deviation, Modified duration, VaR, and expected shortfall can be calculated empirically and in closed form Chapter 3 introduces the concept of diversification and illustrates how the efficient investment frontier can be derived - a Matlab is developed that can be used to calculate a given number of portfolios that lie on an efficient frontier, the chapter also introduces the CAPM Chapter 4 introduces econometric tools: principle component analysis is presented and used as a prelude to yield-curve factor models. The Nelson-Siegel model is used to introduce the Kalman-Filter as a way to add time-series dynamics to the evolution of yield curves over time, time series models such as Vector Autoregression and regime-switching are also presented Supported by a website with online resources - www.kennyholm.com where all Matlab programs referred to in the text can be downloaded. The site also contains lecture slides and answers to end of chapter exercises

This book is about effective asset allocation. It's not enough to rely on some investment manager's "one-size-fits-all" software to allocate your precious capital: you need to understand the process, and take control. In Understanding Asset Allocation, world-class economist, investment expert, and hedge fund manager Victor Canto shows exactly how to understand the process of assett allocation. Canto introduces a flexible, intuitive, easy-to-use approach to asset allocation that leverages powerful business cycle information and investment vehicles most investors ignore. Canto reveals what you can (and can't) learn from historical data; how to find and focus on sectors that offer exceptional opportunity; and how to manage risk far more effectively. Whether you manage your own investments or rely on an advisor, Understanding Asset Allocation will help you optimize all your asset allocation decisions -- and maximize the returns they deliver.

This volume provides a scientific foundation for the advice offered by financial planners to long-term investors. Based upon statistics on asset return behavior and assumed investor objectives, the authors derive optimal portfolio rules that investors can compare with existing rules of thumb.

The comprehensive guide to private market asset allocation Asset Allocation and Private Markets provides institutional investors, such as pension funds, insurance groups and family offices, with a single-volume authoritative resource on including private markets in strategic asset allocation. Written by four academic and practitioner specialists, this book provides the background knowledge investors need, coupled with practical advice from experts in the field. The discussion focuses on private equity, private debt and private real assets, and their correlation with other asset classes to establish optimized investment portfolios. Armed with the grounded and critical perspectives provided in this book, investors can tailor their portfolio and effectively allocate assets to traditional and private markets in their best interest. In-depth discussion of return, risks, liquidity and other factors of asset allocation takes a more practical turn with guidance on allocation construction and capital deployment, the “endowment model,” and hedging — or lack thereof. Unique in the depth and breadth of information on this increasingly attractive asset class, this book is an invaluable resource for investors seeking new strategies. Discover alternative solutions to traditional asset allocation strategies Consider attractive returns of private markets Delve into private equity, private debt and private real assets Gain expert perspectives on correlation, risk, liquidity, and portfolio construction Private markets represent a substantial proportion of global wealth. Amidst disappointing returns from stocks and bonds, investors are increasingly looking to revitalise traditional asset allocation strategies by weighting private market structures more heavily in their portfolios. Pension fund and other long-term asset managers need deeper information than is typically provided in tangential reference in broader asset allocation literature; Asset Allocation and Private Markets fills the gap, with comprehensive information and practical guidance.

With all of our focus on assets - and how much and when to allocate them - are we missing the bigger picture? Our book begins by reviewing the historical performance record of popular assets like stocks, bonds, and cash. We look at the impact inflation has on our money. We then start to examine how diversification through combining assets, in this case a simple stock and bond mix, works to mitigate the extreme drawdowns of risky asset classes. But we go beyond a limited stock/bond portfolio to consider a more global allocation that also takes into account real assets. We track 13 assets and their returns since 1973, with particular attention to a number of well-known portfolios, like Ray Dalio's All Weather portfolio, the Endowment portfolio, Warren Buffett's suggestion, and others. And what we find is that, with a few notable exceptions, many of the allocations have similar exposures. And yet, while we are all busy paying close attention to our portfolio's particular allocation of assets, the greatest impact on our portfolios may be something we fail to notice altogether...