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.

Seminar paper from the year 2012 in the subject Business economics - Investment and Finance, University of Innsbruck, course: Sales Management in Banking and Finance, language: English, abstract: Asset allocation strategies are a frequently discussed topic with increasing importance in times of crisis. Such strategies should prevent us from price deterioration in bad times and ensure high return potentials in good times. More and more tactical asset allocation funds emerge and promise better returns than simple strategy funds. They always try to be on the right market side, in up as well as in down phases. This seminar paper deals with some basic question about what strategic and tactical asset allocation is, when should it be used and if these strategies are appropriate in a highly uncertain environment like the current. It should give the reader a broad overview about the topic by referring to different accepted theories and studies. First the development of asset allocation methods will be described resulting in strategic and tactical asset allocation and an evaluation of them. Furthermore a link toward uncertain market conditions will be compounded.

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.

The investing strategy that famously generates higher returns with substantially reduced risk--presented by the investor who invented it "A treasure of well researched momentum-driven investing processes." Gregory L. Morris, Chief Technical Analyst and Chairman, Investment Committee of Stadion Money Management, LLC, and author of Investing with the Trend Dual Momentum Investing details the author’s own momentum investing method that combines U.S. stock, world stock, and aggregate bond indices--a formula proven to dramatically increase profits while lowering risk. Antonacci reveals how momentum investors could have achieved long-run returns nearly twice as high as the stock market over the past 40 years, while avoiding or minimizing bear market losses--and he provides the information and insight investors need to achieve such success going forward. His methodology is designed to pick up on major changes in relative strength and market trend. Gary Antonacci has over 30 years experience as an investment professional focusing on under exploited investment opportunities. In 1990, he founded Portfolio Management Consultants, which advises private and institutional investors on asset allocation, portfolio optimization, and advanced momentum strategies. He writes and runs the popular blog and website optimalmomentum.com. Antonacci earned his MBA at Harvard.

Mean variance analysis has long been utilized as a tool for portfolio construction. In this paper we see how it can also be used for exploring the diverse asset classes represented by exchange traded funds and notes. Mid-cap stocks and mortgage-backed bonds may offer under exploited investment opportunities.We will also see how a timing overlay can add considerable value in constructing efficient portfolios of exchange traded funds and notes.

Asset allocation has long been viewed as a safe bet for reducing risk in a portfolio. Asset allocators strive to buy when prices are low and sell when prices rise. Tactical asset allocation (TAA) practitioners tend to emphasize shorter-term adjustments, reducing exposure when recent market performance has been good, and increasing exposure in a slipping market (in contrast to dynamic asset allocation, or portfolio insurance). As interest in this technique continues to grow, J.P. Morgan's Wai Lee provides comprehensive coverage of the analytical tools needed to successfully implement and monitor tactical asset allocation.

A comprehensive guide to the key investment decisions all investors must make and how to manage the risk that entails Since all investors seek maximize returns balanced against acceptable risks, successful investment management is all about successful risk management. Strategic Risk Management uses that reality as a starting point, showing investors how to make risk management a process rather than just another tool in the investor's kit. The book highlights and explains primary investment risks and shows readers how to manage them across the key areas of any fund, including investment objectives, asset allocation, asset class strategy, and manager selection. With a strong focus on risk management at the time of asset allocation and at the time of implementation, the book offers important guidance for managers of benefit plans, endowments, defined contribution schemes, and family trusts. Offers a thorough examination of the role of risk management in the decision-making process for asset allocation, manager selection, and other duties of fund managers Written by the current head of portfolio design for the New Zealand Superannuation Fund Addresses the fundamental importance of risk management in today's post-crisis fund management landscape Strategic Risk Management is a comprehensive and easy-to-read guide that identifies the primary risks investors face and reveals how best to manage them.