This book explores the current state of the art in quantitative investment management across seven key areas. Chapters by academics and practitioners working in leading investment management organizations bring together major theoretical and practical aspects of the field.

A modern introduction to risk and portfolio management for advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance, including extensive live data and Python code as online supplements which allow the application of theory to real-world situations.

A definitive reference to the theory and practice of pricing across industries, environments, and methodologies. It covers all major areas of pricing including, pricing fundamentals, pricing tactics, and pricing management.

This book analyses investment management policies for institutional investors. It is composed of four parts. The first one analyses the various types of institutional investors, institutions which, with different objectives, professionally manage portfolios of financial and real assets on behalf of a wide variety of individuals. This part goes on with an in-depth analysis of the economic, technical and regulatory characteristics of the different types of investment funds and of other types of asset management products, which have a high rate of substitutability with investment funds and represent their natural competitors. The second part of the book identifies and investigates the stages of the investment portfolio management. Given the importance of strategic asset allocation in explaining the ex post performance of any type of investment portfolio, this part provides an in-depth analysis of asset allocation methods, illustrating the different theoretical and operational solutions available to institutional investors. The third part describes performance assessment, its breakdown and risk control, with an in-depth examination of performance evaluation techniques, returns-based style analysis approaches, and performance attribution models. Finally, the fourth part deals with the subject of diversification into alternative asset classes, identifying the common characteristics and their possible role within the framework of investment management policies. This part analyses hedge funds, private equity, real estate, commodities, and currency overlay techniques.

This textbook covers the latest advances in machine learning methods for asset management and asset pricing. Recent research in deep learning applied to finance shows that some of the (usually confidential) techniques used by asset managers result in better investments than the more standard techniques. Cutting-edge material is integrated with mainstream finance theory and statistical methods to provide a coherent narrative. Coverage includes an original machine learning method for strategic asset allocation; the no-arbitrage theory applied to a wide portfolio of assets as well as other asset management methods, such as mean-variance, Bayesian methods, linear factor models, and strategic asset allocation; recent techniques such as neural networks and reinforcement learning, and more classical ones, including nonlinear and linear programming, principal component analysis, dynamic programming, and clustering. The authors use technical and nontechnical arguments to accommodate readers with different levels of mathematical preparation. The book is easy to read yet rigorous and contains a large number of exercises. Machine Learning for Asset Management and Pricing is intended for graduate students and researchers in finance, economics, financial engineering, and data science focusing on asset pricing and management. It will also be of interest to finance professionals and analysts interested in applying machine learning to investment strategies and asset management. This textbook is appropriate for courses on asset management, optimization with applications, portfolio theory, and asset pricing.

When managed well, intellectual property (IP) puts enterprises in a position to lock in an advantage and command a premium. But in Europe, the process of commercializing IP remains fraugt with difficulties, with significant differences existing in the application and interpretation of these rights in each national jurisdiction. Drawing on a wide range of expertise - including editorial support and input from the European Patent Office - The Handbook of European Intellectual Property Management is a practical and easy-to-follow guide that reveals exactly how IP can contribute to improved competitive performance and to greater value on the balance sheet, whilst also offering a template for 'best practice' in IP management.

Volume II: Investment Management and Financial Management focuses on the theories, decisions, and implementations aspects associated with both financial management and investment management. It discusses issues that dominate the financial management arena—capital structure, dividend policies, capital budgeting, and working capital—and highlights the essential elements of today's investment management environment, which include allocating funds across major asset classes and effectively dealing with equity and fixed income portfolios. Incorporating timely research and in-depth analysis, the Handbook of Finance is a comprehensive 3-Volume Set that covers both established and cutting-edge theories and developments in finance and investing. Other volumes in the set: Handbook of Finance Volume I: Financial Markets and Instruments and Handbook of Finance Volume III: Valuation, Financial Modeling, and Quantitative Tools.

From the leading authorities in their field—the newest, most effective tools for avoiding common pitfalls while maximizing profits through active portfolio management Whether you’re a portfolio manager, financial adviser, or investing novice, this important follow-up to the classic guide to active portfolio management delivers everything you need to beat the market at every turn. Advances in Active Portfolio Management gets you fully up to date on the issues, trends, and challenges in the world of active management—and shows how to apply advances in the Grinold and Kahn’s legendary approach to meet current challenges. Composed of articles published in today’s leading management publications—including several that won Journal of Portfolio Management’s prestigious Bernstein Fabozzi/Jacobs Levy Award—this comprehensive guide is filled with new insights into: • Dynamic Portfolio Management • Signal Weighting • Implementation Efficiency • Holdings-based attribution • Expected returns • Risk management • Portfolio construction • Fees Providing everything you need to master active portfolio management in today’s investing landscape, the book is organized into three sections: the fundamentals of successful active management, advancing the authors’ framework, and applying the framework in today’s investing landscape. The culmination of many decades of investing experience and research, Advances in Active Portfolio Managementmakes complex issues easy to understand and put into practice. It’s the one-stop resource you need to succeed in the world of investing today.