In order to effectively employ portfolio strategies that can control interest rate risk and/or enhance returns, you must understand the forces that drive bond markets, as well as the valuation and risk management practices of these complex securities. In Advanced Bond Portfolio Management, Frank Fabozzi, Lionel Martellini, and Philippe Priaulet have brought together more than thirty experienced bond market professionals to help you do just that. Divided into six comprehensive parts, Advanced Bond Portfolio Management will guide you through the state-of-the-art techniques used in the analysis of bonds and bond portfolio management. Topics covered include: General background information on fixed-income markets and bond portfolio strategies The design of a strategy benchmark Various aspects of fixed-income modeling that will provide key ingredients in the implementation of an efficient portfolio and risk management process Interest rate risk and credit risk management Risk factors involved in the management of an international bond portfolio Filled with in-depth insight and expert advice, Advanced Bond Portfolio Management is a valuable resource for anyone involved or interested in this important industry.

The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments, investment methodologies, and improved analytics. Investors are looking for a more disciplined, quantitative approach to asset management. Here, five top authorities from a leading Wall Street firm provide practical solutions and feasible methodologies based on investor inquiries. While taking a quantitative approach, they avoid complex mathematical derivations, making the book accessible to a wide audience, including portfolio managers, plan sponsors, research analysts, risk managers, academics, students, and anyone interested in bond portfolio management. The book covers a range of subjects of concern to fixed-income portfolio managers--investment style, benchmark replication and customization, managing credit and mortgage portfolios, managing central bank reserves, risk optimization, and performance attribution. The first part contains empirical studies of security selection versus asset allocation, index replication with derivatives and bonds, optimal portfolio diversification, and long-horizon performance of assets. The second part covers portfolio management tools for risk budgeting, bottom-up risk modeling, performance attribution, innovative measures of risk sensitivities, and hedging risk exposures. A first-of-its-kind publication from a team of practitioners at the front lines of financial thinking, this book presents a winning combination of mathematical models, intuitive examples, and clear language.

In Bond Portfolio Management, Frank Fabozzi, the leading expert in fixed income securities, explains the latest strategies for maximizing bond portfolio returns. Through in-depth discussions on different types of bonds, valuation principles, and a wide range of strategies, Bond Portfolio Management will prepare you for virtually any bond related event-whether your working on a pension fund or at an insurance company. Key topics include investment objectives of institutional investors, general principles of bond valuation, measuring interest rate risk, and evaluating performance. Bond Portfolio Management is an excellent resource for anyone looking to master one of the world's largest markets, and is a perfect companion to Fabozzi's successful guide-The Handbook of Fixed-Income Securities.

Learn the fine art of risk measurement and control—from a senior member of PIMCO! Bond Portfolio Investing and Risk Management is designed for one purpose—to help you do the most important part of your job. A top player in the upper echelon of PIMCO, Vineer Bhansali understands the nuances and complexities of managing risk in fixed-income investing better than anyone. In this highly practical guide, he puts his years of experience and the latest research to work in order to help you contend with such issues as: Liquidity and stress risks Asset allocation Market anomalies Cross-market relationships Tail-risk measurement Cyclical returns Macroeconomic data Bond Portfolio Investing and Risk Management details the tools used to offset risk, including their advantages and drawbacks, and explains when to use each one. Bhansali provides practical investment techniques to give you a firm handle on the value and risk of a fixed-income instrument.

The bond market is one of the largest and most important financial markets in the world. For professional investors, building and managing a portfolio of bonds to achieve above-market returns is a continual challenge. In Selected Topics in Bond Portfolio Management, leading experts discuss state-of-the-art strategies for managing indexed, corporate, high-yield, municipal, and global bond portfolios. Each chapter includes questions and answers to enhance the reader's understanding.

Expert guidance on managing credit risk in bond portfolios Managing Credit Risk in Corporate Bond Portfolios shows readers howto measure and manage the risks of a corporate bond portfolioagainst its benchmark. This comprehensive guide explores a widerange of topics surrounding credit risk and bond portfolios,including the similarities and differences between corporate andgovernment bond portfolios, yield curve risk, default and creditmigration risk, Monte Carlo simulation techniques, and portfolioselection methods. Srichander Ramaswamy, PhD (Basel, Switzerland), is Head ofInvestment Analysis at the Bank for International Settlements (BIS)in Basel, Switzerland, and Adjunct Professor of Banking andFinance, University of Lausanne.

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.