Asset Manager

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.

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "learn" complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects.

TRB's National Cooperative Highway Research Program (NCHRP) Report 544: Environmentally Sensitive Channel- and Bank-Protection Measures examines environmentally sensitive channel- and bank-protection measures and includes recommended design guidelines for their application and a selection system for helping to determine the most appropriate channel- and bank-protection measure. The selection system is presented as an interactive software program entitled "Greenbank," which can be found on the accompanying CD-ROM (CRP-CD-58). The selection system software (CRP-CD-58) is available for download in an ZIP format.

For Many Investors, As Well As Some Brokers And Analysts, Understanding The Often Complex Techniques Of Forecasting Market Trends And Strategies For Maximising Investment Portfolio Return Can Be Difficult. Here Is An Invaluable Text That Explains Modern Fund Management And Techniques For Market Analysis. It Uses Real-Life Issues Surrounding Asset Management, Within The Context Of Modern Portfolio Theory And Fundamental Market And Security Analysis.Asset Management In Theory And Practice Is An Explanation And To Some Extent Re-Evaluation Of The Fundamentals That Drive The Fortunes Of Different Markets. As Such It Presents A Solid Platform From Which The Reader Can Then Develop An Understanding Of More Complex Analytical Techniques And Asset Allocation Strategies.It Should Prove Invaluable To Any Investor Or Student Of The Financial Markets As Well As More Experienced Brokers Or Analysts Seeking To Explain To Customers How The Markets And Investment Strategies Work.This Special Low-Priced Edition Is For Sale In India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan And Sri Lanka Only.

This book was written by a Maximo consultant for Maximo functional consultants to help them lead implementation projects better and faster. This is already the second edition of this book, revised and extended. The book covers the topic of how to implement IBM Maximo Asset Management efficiently and bring value to customers. The book begins by describing how to prepare the project and run the workshops. There is an explanation of how to design the system and what deliverables will be. The following chapters focus on the project organization to make it productive. This part of the book can be helpful also for managers of Maximo implementation teams. The second part of the book describes Maximo applications, their interactions, and processes. You will also find here a lot of configuration examples and sample content of the project deliverables. See what my readers have to say… “…I must thank you for your contribution towards the industry and how much it can help young and upcoming business consultants like me in getting things right. Knowledge is invaluable. Thanks for your time in creating a medium to share it globally…” —Hashmeet “…The book has immensely helped me in planning the activities and deploying the project….” —Kushal “…Very well written for a consultant to understand how to approach projects. Utilize many of your talking points with my clients. Great work!...” —John

This book provides the fundamentals of asset management. It takes a practical perspective in describing asset management. Besides the theoretical aspects of investment management, it provides in-depth insights into the actual implementation issues associated with investment strategies. The 19 chapters combine theory and practice based on the experience of the authors in the asset management industry. The book starts off with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage of the different asset classes (common stock, bonds, and alternative assets), collective investment vehicles, financial derivatives, common stock analysis and valuation, bond analytics, equity beta strategies (including smart beta), equity alpha strategies (including quantitative/systematic strategies), bond indexing and active bond portfolio strategies, and multi-asset strategies. The methods of using financial derivatives (equity derivatives, interest rate derivatives, and credit derivatives) in managing the risks of a portfolio are clearly explained and illustrated.

Given the international nature of the asset management industry, lawyers representing investors, asset managers, and regulators are often confronted with asset management agreements governed by foreign law. This book provides the necessary points of law and practice in the leading jurisdictions allowing lawyers to identify the main pitfalls concerning the foreign law in question. This book is the only comparative analysis of the law of asset manager liability in the major European jurisdictions, the United States, and Canada, each written by specialists from the relevant jurisdiction. This is a much-needed guide on the disparate regulation of asset manager liability in these countries highlighting the absence of uniformity in this area of law despite the implementation of MiFID in Europe. The section on European law provides an overview of the regulation in this field regionally and provides the context in which the national chapters explore the regulation at country level. The comparative evaluation at the end of the book provides a thoughtful assessment of the impact of regulatory frameworks on asset managers private law duties and liabilities. The Introduction situates the country-by-country material within the broader context of questions about regulatory design and effectiveness.

Long gone are the times when investors could make decisions based on intuition. Modern asset management draws on a wide-range of fields beyond financial theory: economics, financial accounting, econometrics/statistics, management science, operations research (optimization and Monte Carlo simulation), and more recently, data science (Big Data, machine learning, and artificial intelligence). The challenge in writing an institutional asset management book is that when tools from these different fields are applied in an investment strategy or an analytical framework for valuing securities, it is assumed that the reader is familiar with the fundamentals of these fields. Attempting to explain strategies and analytical concepts while also providing a primer on the tools from other fields is not the most effective way of describing the asset management process. Moreover, while an increasing number of investment models have been proposed in the asset management literature, there are challenges and issues in implementing these models. This book provides a description of the tools used in asset management as well as a more in-depth explanation of specialized topics and issues covered in the companion book, Fundamentals of Institutional Asset Management. The topics covered include the asset management business and its challenges, the basics of financial accounting, securitization technology, analytical tools (financial econometrics, Monte Carlo simulation, optimization models, and machine learning), alternative risk measures for asset allocation, securities finance, implementing quantitative research, quantitative equity strategies, transaction costs, multifactor models applied to equity and bond portfolio management, and backtesting methodologies. This pedagogic approach exposes the reader to the set of interdisciplinary tools that modern asset managers require in order to extract profits from data and processes.