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Authoritative, up-to-date research and analysis that provides a dramatic new understanding of the rewards-and risks-of investing in CTAs Commodity Trading Advisors (CTAs) are an increasingly popular and potentially profitable investment alternative for institutional investors and high-net-worth individuals. Commodity Trading Advisors is one of the first books to study their performance in detail and analyze the "survivorship bias" present in CTA performance data. This book investigates the many benefits and risks associated with CTAs, examining the risk/return characteristics of a number of different strategies deployed by CTAs from a sophisticated investor's perspective. A contributed work, its editors and contributing authors are among today's leading voices on the topic of commodity trading advisors and a veritable "Who's Who" in hedge fund and CTA research. Greg N. Gregoriou (Plattsburgh, NY) is a Visiting Assistant Professor of Finance and Research Coordinator in the School of Business and Economics at the State University of New York. Vassilios N. Karavas (Amherst, MA) is Director of Research at Schneeweis Partners. Francois-Serge Lhabitant (Coppet, Switzerland) is a FAME Research Fellow, and a Professor of Finance at EDHEC (France) and at HEC University of Lausanne (Switzerland). Fabrice Rouah (Montreal, Quebec) is Institut de Finance Mathématique de Montréal Scholar in the finance program at McGill University.
Understanding risk is important. Prior to 2008, as the yields on safe assets hit rock bottom, investors began to focus on an alphabet soup of more complex instruments. These complex securities were rated AAA and appeared as safe as U.S. Treasuries, but with much higher yields. The 2008 financial crisis revealed, however, that higher yields on these instruments came with higher risk, albeit too late for these investors. This study seeks to understand the risk–return tradeoff, managerial skill, and factor exposures on the risk-return tradeoff in two financial instruments that have been limitedly investigated: commodity trading advisors (CTAs) and managed futures funds (MFFs). This study begins by documenting the differences between CTAs/MFFs and hedge funds and mutual funds, starting with the legal and operational differences. Next, it conducts a performance analysis, which indicates that CTAs and MFFs, as standalone investment vehicles, provide returns that are higher than the average market returns in bear markets, while carrying lower risk. The strong standing of CTAs and MFFs in bear markets earn them their reputation as “downside risk protectors.” CTAs and MFFs are profitable individual assets but adding these funds to classical asset portfolios enhances portfolio performance significantly. This feature makes them strong hedging assets. As expected, their performance is below that of standard assets in up markets. Chapter 4 finds that the superior performance of CTAs and MFFs can be explained by managerial skill. Positive and significant Jensen alphas are evidence of good performance; moreover, the persistence of the Jensen alphas is supported by both parametric and non-parametric tests. Incentive fees and fund age are found to be positively related to managerial skill, while (somewhat surprisingly) management fees are found to be negatively related to it. Chapter 5 finds that many financial and macroeconomic factors are statistically unrelated to CTA and MFF performance. However, the value premium (HML) factor and industrial production growth (IPG) are correlated with their performance. HML has a relation effect on one-month-ahead fund returns, whereas IPG has a negative association with them. Nonparametric tests support these results marginally. Overall, these findings suggest that both CTAs and MFFs use well-known and well-established predictors of expected returns to generate their alphas.
Peter Lückoff investigates why fund flows and manager changes act as equilibrium mechanisms and drive the performance of both previously outperforming and previously underperforming funds back to average levels.
This comprehensive reference delivers a toolkit for harvesting market rewards from a wide range of investments. Written by a world-renowned industry expert, the reference discusses how to forecast returns under different parameters. Expected returns of major asset classes, investment strategies, and the effects of underlying risk factors such as growth, inflation, liquidity, and different risk perspectives, are also explained. Judging expected returns requires balancing historical returns with both theoretical considerations and current market conditions. Expected Returns provides extensive empirical evidence, surveys of risk-based and behavioral theories, and practical insights.
Over the last 20 years hedge funds and derivatives have fluctuated in reputational terms; they have been blamed for the global financial crisis and been praised for the provision of liquidity in troubled times. Both topics are rather under-researched due to a combination of data and secrecy issues. This book is a collection of papers celebrating 20 years of the Journal of Derivatives and Hedge Funds (JDHF). The 18 papers included in this volume represent a small sample of influential papers included during the life of the Journal, representing industry-orientated research in these areas. With a Preface from co-editor of the journal Stephen Satchell, the first part of the collection focuses on hedge funds and the second on markets, prices and products.
Commodities: Markets, Performance, and Strategies provides a comprehensive look at commodity markets along many dimensions. Its coverage includes physical commodity fundamentals, financial products and strategies for commodity exposure, and current issues relating to commodities. Readers interested in commodity market basics or more nuanced details related to commodity investment can benefit.
Filled with a comprehensive collection of information from experts in the commodity investment industry, this detailed guide shows readers how to successfully incorporate commodities into their portfolios. Created with both the professional and individual investor in mind, The Handbook of Commodity Investments covers a wide range of issues, including the risk and return of commodities, diversification benefits, risk management, macroeconomic determinants of commodity investments, and commodity trading advisors. Starting with the basics of commodity investments and moving to more complex topics, such as performance measurement, asset pricing, and value at risk, The Handbook of Commodity Investments is a reliable resource for anyone who needs to understand this dynamic market.
Debunking outdated and inaccurate beliefs about investment management and reveals the new realities of the post-modern financial markets There have been a lot of big changes in the investment world over the past decade, and many long-cherished beliefs about the structures and performance of various investments no longer apply. Unfortunately the news seems not to have reached many thought leaders and investment professionals who persist in trying, and failing, to apply 20th-century thinking to 21st-century portfolio management. Nowhere is this more true than when it comes to the subject of alternative investments. Written by an all-star team of investment management experts, this book debunks common myths and misconceptions about most classes of alternative investments and offers valuable advice on how to develop investment management and asset allocation strategies consistent with the new realities of the ever-changing world of alternative investments. Covers most alternative asset classes, including private equity, real estate, managed futures, hedge funds, commodity indices, and more Debunks long-held assumptions about the structure and performance of various investment classes that continue to dominate the industry Explores the implications for investment managers of the proliferation of international marketable securities and global financial markets Provides an overview of both the micro and the macro aspects of each alternative investment class
Your Essential Guide to Quantitative Hedge Fund Investing provides a conceptual framework for understanding effective hedge fund investment strategies. The book offers a mathematically rigorous exploration of different topics, framed in an easy to digest set of examples and analogies, including stories from some legendary hedge fund investors. Readers will be guided from the historical to the cutting edge, while building a framework of understanding that encompasses it all. Features Filled with novel examples and analogies from within and beyond the world of finance Suitable for practitioners and graduate-level students with a passion for understanding the complexities that lie behind the raw mechanics of quantitative hedge fund investment A unique insight from an author with experience of both the practical and academic spheres.
The 2022 World Economic Forum surveyed 1,000 experts and leaders who indicated their risk perception that the earth’s conditions for humans are a main concern in the next 10 years. This means environmental risks are a priority to study in a formal way. At the same time, innovation risks are present in theminds of leaders, newknowledge brings new risk, and the adaptation and adoption of risk knowledge is required to better understand the causes and effects can have on technological risks. These opportunities require not only adopting new ways of managing and controlling emerging processes for society and business, but also adapting organizations to changes and managing newrisks. Risk Analytics: Data-Driven Decisions Under Uncertainty introduces a way to analyze and design a risk analytics system (RAS) that integrates multiple approaches to risk analytics to deal with diverse types of data and problems. A risk analytics system is a hybrid system where human and artificial intelligence interact with a data gathering and selection process that uses multiple sources to the delivery of guidelines to make decisions that include humans and machines. The RAS system is an integration of components, such as data architecture with diverse data, and a risk analytics process and modeling process to obtain knowledge and then determine actions through the new knowledge that was obtained. The use of data analytics is not only connected to risk modeling and its implementation, but also to the development of the actionable knowledge that can be represented by text in documents to define and share explicit knowledge and guidelines in the organization for strategy implementation. This book moves from a review of data to the concepts of a RAS. It reviews RAS system components required to support the creation of competitive advantage in organizations through risk analytics. Written for executives, analytics professionals, risk management professionals, strategy professionals, and postgraduate students, this book shows a way to implement the analytics process to develop a risk management practice that creates an adaptive competitive advantage under uncertainty.