The book describes the different tools and techniques available to anyone who is engaged in providing funding or advice to a project. Project finance is ultimately about applying three basic principles to a funding situation and from these three, all the other ideas flow including contracts. First, there needs to be a cash flow coming from the project that is capable of being captured by finance providers. Second, there needs to be a group of assets that can be segregated and contained by making sure they cannot be taken away by other parties and thirdly there needs to be a risk envelope that is well understood and managed dynamically during the project's life. To do this, a network of contracts must exist to support the rights of the different stakeholders and their legal claims on the project. In this book the authors examine all of these aspects and provide some examples/mini-cases of project structures and approaches. The book begins and ends with a longer case study of two projects that were standalone examples of project financing and controversial for different reasons at the time of their fundraising.Bundle Set: Project Financing (Analyzing and Structuring Projects & Financial Instruments and Risk Management)

This book covers the project financing process from the perspective of a wider and more general group of stakeholders by addressing the three key elements of cash flow; collateral/support structures; and risk management. Following a detailed description of project financing in the first chapter, the authors discuss the project financing process, modelling and risk management, public private partnerships and project financing in practice including the use of the principles in a range of different contexts. A sound understanding of project management is fundamental to successful project financing, as is the need to have a clear plan for a project to communicate the essential information that different stakeholders require.A successful project financing starts with the different phases of a project and descriptions of the key risk areas include the challenges in estimating the cost of a project and the general principles of financial modelling with a discussion of the unique aspects of financial modelling for different industries. Throughout the book, short recent international case studies are used to illustrate successful and unsuccessful projects allowing the lessons learned to be visible and there are many examples of specific applications of project finance techniques throughout the text.Bundle Set: Project Financing (Analyzing and Structuring Projects & Financial Instruments and Risk Management)

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.

A Comprehensive Guide to All Aspects of Fixed Income Securities

Fixed Income Securities, Second Edition sets the standard for a concise, complete explanation of the dynamics and opportunities inherent in today’s fixed income marketplace. Frank Fabozzi combines all the various aspects of the fixed income market, including valuation, the interest rates of risk measurement, portfolio factors, and qualities of individual sectors, into an all-inclusive text with one cohesive voice.

This comprehensive guide provides complete coverage of the wide range of fixed income securities, including:

• U.S. Treasury securities
• Agencies
• Municipal securities
• Asset-backed securities
• Corporate and international bonds
• Mortgage-backed securities, including CMOs
• Collateralized debt obligations (CDOs)

For the financial professional who needs to understand the fundamental and unique characteristics of fixed income securities, Fixed Income Securities, Second Edition offers the most up-to-date facts and formulas needed to navigate today’s fast-changing financial markets. Increase your knowledge of this market and enhance your financial performance over the long-term with Fixed Income Securities, Second Edition.

www.wileyfinance.com

An inside look at modern approaches to modeling equity portfolios

"Financial Modeling of the Equity Market" is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, including dimensionality reduction, Bayesian estimates, the Black-Litterman model, and random coefficient models, are also covered in depth. Important advances in transaction cost measurement and modeling, robust optimization, and recent developments in optimization with higher moments are also discussed.

Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. He is also the author of numerous articles and books on financial modeling. Petter N. Kolm, PhD (New Haven, CT and New York, NY), is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Previously, he worked in the Quantitative Strategies Group of Goldman Sachs Asset Management, where he developed quantitative investment models and strategies.

Quantitative Global Bond Portfolio Management offers a comprehensive discussion of quantitative modelling approaches to managing global bond and currency portfolios. Drawing on practitioner and academic research, as well as the extensive market experience of the authors, the book provides a timely overview of cutting-edge tools applied to the management of global bond portfolios, including in-depth discussions of factor models and optimization techniques. In addition to providing a solid theoretical foundation for global bond portfolio management, the authors focus on the practical implementation of yield curve and currency-driven approaches that can be successfully implemented to actual portfolios. As such, the book will be an indispensable resource to both new and seasoned investors looking to enhance their understanding of global bond markets and strategies.

"Streetwise" brings together classic articles from the publication that helped revolutionize the way Wall Street does business. During the recession of the early 1970s, investment professionals turned to the theories of a small band of mathematical economists, whose ideas on such topics as portfolio development and risk management eventually led to the reform and maintenance of entire economies. This was the first time economists and practitioners had joined forces to such remarkable effect. Economist and money manager Peter Bernstein sought to encourage this exchange when, in 1974, he founded "The Journal of Portfolio Management" (JPM). For this present volume, Bernstein and JPM editor Frank Fabozzi have selected forty-one of the most influential articles to appear in the journal over the past twenty-five years, some of them written by Nobel laureates and all aimed at stimulating dialogue between academic economists wishing to understand the real-world problems of finance and investment professionals wanting to bring the most advanced theoretical work to bear on commerce.

Financial economics is a youthful but vital field. "Streetwise" not only reflects its fascinating history but through articles on topics ranging from stock prices and risk management to bonds and real estate also offers relevant insights for today.

The contributors are: R. Akhoury, R. D. Arnott, G. L. Bergstrom, G. O. Bierwag, F. Black, R. Bookstaber, K. Cholerton, R. Clarke, D. M. Cutler, C. P. Dialynas, P. O. Dietz, D. H. Edington, M. W. Einhorn, J. Evnine, R. Ferguson, P. M. Firstenberg, H. R. Fogler, F. Garrone, R. Grieves, R. C. Grinold, D. J. Hardy, D. P. Jacob, B. I. Jacobs, R. H. Jeffrey, R. N. Kahn, G. G. Kaufman, M. Kritzman, R. Lanstein, C. M. Latta, M. L. Leibowitz, K. N. Levy, R. Lochoff, R. W. McEnally, K. R. Meyer, E. M. Miller, A. F. Perold, P. Pieraerts, J. M. Poterba, K. Reid, R. R. Reitano, R. Roll, B. Rosenberg, S. A. Ross, M. Rubinstein, A. Rudd, P. A. Samuelson, R. Schweitzer, C. Seix, W. F. Sharpe, B. Solnik, L. H. Summers, A. L. Toevs, J. L. Treynor, A. Weinberger, and R. C. Zisler.

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.

In this fully revised and updated Second Edition of "Fixed Income Analysis," readers will be introduced to a variety of important fixed income analysis issues, including the general principles of credit analysis, term structure and volatility of interest rates, and valuing bonds with embedded options.

The substantially revised fifth edition of a textbook covering the wide range of instruments available in financial markets, with a new emphasis on risk management. Over the last fifty years, an extensive array of instruments for financing, investing, and controlling risk has become available in financial markets, with demand for these innovations driven by the needs of investors and borrowers. The recent financial crisis offered painful lessons on the consequences of ignoring the risks associated with new financial products and strategies. This substantially revised fifth edition of a widely used text covers financial product innovation with a new emphasis on risk management and regulatory reform. Chapters from the previous edition have been updated, and new chapters cover material that reflects recent developments in financial markets. The book begins with an introduction to financial markets, offering a new chapter that provides an overview of risk-including the key elements of financial risk management and the identification and quantification of risk. The book then covers market participants, including a new chapter on collective investment products managed by asset management firms; the basics of cash and derivatives markets, with new coverage of financial derivatives and securitization; theories of risk and return, with a new chapter on return distributions and risk measures; the structure of interest rates and the pricing of debt obligations; equity markets; debt markets, including chapters on money market instruments, municipal securities, and credit sensitive securitized products; and advanced coverage of derivative markets. Each chapter ends with a review of key points and questions based on the material covered.

This book covers the fundamentals of financial management and investment management without getting into the highly technical topics and mathematical rigor. It also provides a practitioner-oriented approach to financial and investment management.The field of finance covers several specialty areas. The two most important ones which set the foundations for the other specialty areas are financial management and investment management, and these are the two major topics covered in the book. After touching on the basics - the financial system and the players, financial statements, and mathematics of finance - the authors then cover financial management and investment management in greater depth. For financial management the authors focus on financial strategy and financial planning, dividend policy, corporate financing decisions, entrepreneurial finance, financial risk management, and capital budgeting decisions. The investment management coverage includes the different types of risks faced in investing, company analysis, valuing common stock, portfolio selection, asset pricing theory, and investing in common stocks and bonds. The last chapter of the book covers financial derivatives and how they are used in finance to control risk.

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.

The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.

This edition of The Handbook of Mortgage-Backed Securities, the first revision following the subprime mortgage crisis, is designed to provide not only the fundamentals of these securities and the investment characteristics that make them attractive to a broad range of investors, but also extensive coverage on the state-of-the-art strategies for capitalizing on the opportunities in this market. The book is intended for both the individual investor and the professional manager. The volume includes contributions from a wide range of experts most of whom have been actively involved in the evolution of the mortgage-backed securities market.

In this book the authors consider so-called ill-posed problems and stability in statistics. Ill-posed problems are certain results where arbitrary small changes in the assumptions lead to unpredictable large changes in the conclusions. In a companion problem published by Nova, the authors explain that ill-posed problems are not a mere curiosity in the field of contemporary probability. The same situation holds in statistics. The objective of the authors of this book is to (1)identify statistical problems of this type, (2) find their stable variant, and (3)propose alternative versions of numerous theorems in mathematical statistics. The layout of the book is as follows. The authors begin by reviewing the central pre-limit theorem, providing a careful definition and characterisation of the limiting distributions. Then, they consider pre-limiting behaviour of extreme order statistics and the connection of this theory to survival analysis. A study of statistical applications of the pre-limit theorems follows. Based on these theorems, the authors develop a correct version of the theory of statistical estimation, and show its connection with the problem of the choice of an appropriate loss function. As It turns out, a loss function should not be chosen arbitrarily. As they explain, the availability of certain mathematical conveniences (including the correctness of the formulation of the problem estimation) leads to rigid restrictions on the choice of the loss function. The questions about the correctness of incorrectness of certain statistical problems may be resolved through appropriate choice of the loss function and/or metric on the space of random variables and their characteristics (including distribution functions, characteristic functions, and densities). Some auxiliary results from the theory of generalised functions are provided in an appendix.