Managing Illiquid Assets

The perspectives of experts and practitioners are brought together on managing these high-risk, and frequently complex, financial assets.

Arms investors with powerful new tools for measuring and managing the risks associated with the various illiquid asset classes With risk-free interest rates and risk premiums at record lows, many investors are turning to illiquid assets, such as real estate, private equity, infrastructure and timber, in search of superior returns and greater portfolio diversity. But as many analysts, investors and wealth managers are discovering, such investments bring with them a unique set of risks that cannot be measured by standard asset allocation models. Written by a dream team of globally renowned experts in the field, this book provides a clear, accessible overview of illiquid fund investments, focusing on what the main risks of these asset classes are and how to measure those risks in today's regulatory environment. Provides solutions for institutional investors in need of guidance in today's regulatory environment Offers detailed descriptions of risk measurement in illiquid asset classes, illustrated with real life case studies Helps you to develop reliable risk management tools while complying with the regulations designed to contain the individual and systemic risks arising from illiquid investments Features real-life case studies that capture an array of risk management scenarios you are likely to encounter

Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In this book, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent.

Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

A fully up-to-date, cutting-edge guide to the measurement and management of liquidity risk Written for front and middle office risk management and quantitative practitioners, this book provides the ground-level knowledge, tools, and techniques for effective liquidity risk management. Highly practical, though thoroughly grounded in theory, the book begins with the basics of liquidity risks and, using examples pulled from the recent financial crisis, how they manifest themselves in financial institutions. The book then goes on to look at tools which can be used to measure liquidity risk, discussing risk monitoring and the different models used, notably financial variables models, credit variables models, and behavioural variables models, and then at managing these risks. As well as looking at the tools necessary for effective measurement and management, the book also looks at and discusses current regulation and the implication of new Basel regulations on management procedures and tools.

In Asset Management: A Systematic Approach to Factor Investing, Professor Andrew Ang presents a comprehensive, new approach to the age-old problem of where to put your money. Years of experience as a finance professor and a consultant have led him to see that what matters aren't asset class labels, but instead the bundles of overlapping risks they represent. Factor risks must be the focus of our attention if we are to weather market turmoil and receive the rewards that come with doing so. Clearly written yet full of the latest research and data, Asset Management is indispensable reading for trustees, professional money managers, smart private investors, and business students who want to understand the economics behind factor risk premiums, to harvest them efficiently in their portfolios, and to embark on the search for true alpha.

Liquidity Management is now a core consideration for banks and other financial institutions following the collapse of numerous well-known banks in 2007-8. This timely new edition will provide practical guidance on liquidity risk and its management – now mandatory under new regulation.