Build a fixed income portfolio that will weather volatility and instability Designing a fixed income portfolio is an essential skill of any investment manager or advisor. This book outlines the critical components to successfully navigate through stable and turbulent markets, using real-life lessons from a seasoned institutional asset manager. The first section includes commentary on the changing fixed income market and overall economy, while the second section outlines the processes to navigate these ever-evolving markets including portfolio construction, the Federal Reserve, credit analysis and trade execution. Ladder Methodology is highlighted and the book discusses its pros and cons, gives examples of both well-constructed and poorly executed laddered bond portfolios and offers alternatives to traditional asset classes. Benefit from lessons learned, providing real life examples of market scenarios and trades Prepare fixed income portfolios that can weather any storm Written by Sean P. Simko, an expert on fixed income investing, who shares his investing experiences from the past 16 years Outlines the key principles of the Ladder strategy From strategy to execution, Strategic Fixed Income Investing offers the road map to help investment managers prepare portfolios that will insulate investments against adverse market conditions.

Matlab is used within nearly all investment banks and is a requirement in most quant job ads. There is no other book written for finance practitioners that covers this Enables readers to implement financial and econometric models in Matlab All central concepts and theories are illustrated by Matlab implementations which are accompanied by detailed descriptions of the programming steps needed All concepts and techniques are introduced from a basic level Chapter 1 introduces Matlab and matrix algebra, it serves to make the reader familiar with the use and basic capabilities if Matlab. The chapter concludes with a walkthrough of a linear regression model, showing how Matlab can be used to solve an example problem analytically and by the use of optimization and simulation techniques Chapter 2 introduces expected return and risk as central concepts in finance theory using fixed income instruments as examples, the chapter illustrates how risk measures such as standard deviation, Modified duration, VaR, and expected shortfall can be calculated empirically and in closed form Chapter 3 introduces the concept of diversification and illustrates how the efficient investment frontier can be derived - a Matlab is developed that can be used to calculate a given number of portfolios that lie on an efficient frontier, the chapter also introduces the CAPM Chapter 4 introduces econometric tools: principle component analysis is presented and used as a prelude to yield-curve factor models. The Nelson-Siegel model is used to introduce the Kalman-Filter as a way to add time-series dynamics to the evolution of yield curves over time, time series models such as Vector Autoregression and regime-switching are also presented Supported by a website with online resources - www.kennyholm.com where all Matlab programs referred to in the text can be downloaded. The site also contains lecture slides and answers to end of chapter exercises

Build a fixed income portfolio that will weather volatility and instability Designing a fixed income portfolio is an essential skill of any investment manager or advisor. This book outlines the critical components to successfully navigate through stable and turbulent markets, using real-life lessons from a seasoned institutional asset manager. The first section includes commentary on the changing fixed income market and overall economy, while the second section outlines the processes to navigate these ever-evolving markets including portfolio construction, the Federal Reserve, credit analysis and trade execution. Ladder Methodology is highlighted and the book discusses its pros and cons, gives examples of both well-constructed and poorly executed laddered bond portfolios and offers alternatives to traditional asset classes. Benefit from lessons learned, providing real life examples of market scenarios and trades Prepare fixed income portfolios that can weather any storm Written by Sean P. Simko, an expert on fixed income investing, who shares his investing experiences from the past 16 years Outlines the key principles of the Ladder strategy From strategy to execution, Strategic Fixed Income Investing offers the road map to help investment managers prepare portfolios that will insulate investments against adverse market conditions.

Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.

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The fully revised classic on employing asset allocation techniques to grow real wealth A global leader and preeminent expert in asset allocation, David Darst delivers his masterwork on the topic. In a fully updated and expanded second edition of The Art of Asset Allocation, Morgan Stanley's Chief Investment Strategist covers the historic market events, instruments, asset classes, and economic forces that investors need to be aware of as they create asset-building portfolios. He then explains how to use modern asset allocation concepts and tools to augment returns and control risks in a wide range of financial market environments. This completely revised edition shows how to achieve asset balance with the author's proven methods, decades of expertise, relevant charts, practical tools, and astute analyses. Known as the king of asset allocation, Darst brings his expertise to bear to provide complete asset class descriptions, identifying historical risk, return, and correlation characteristics for all major asset classes. Using actual data, he explains the differences between tactical and strategic asset allocation, outlines clear rebalancing guidelines, and includes an annotated guide to both traditional and Internet-based information sources. Praise for the first edition: “You want to be a better investor, a better client, or a better advisor? DEVOUR THIS BOOK NOW!”-James J. Cramer “David Darst is the expert on Asset Allocation. He has chosen to share his decades of practical experience in The Art of Asset Allocation, to the benefit of professional and individual investors alike.”-Seth A. Klarman

Understand the role and potential of fixed income as an asset class Systematic Fixed Income: An Investor’s Guide offers readers a powerful, practical, and robust framework for investors and asset managers to preserve the diversifying properties of a fixed income allocation, and add to that unique sources of excess returns via systematic security selection. In other words, this framework allows for efficient capture of fixed income beta and fixed income alpha. Celebrated finance professional Dr. Scott Richardson presents concrete strategies for identifying the relevant sources of risk and return in public fixed income markets and explains the tactical and strategic roles played by fixed income in typical portfolios. In the book, readers will explore: The implementation challenges associated with a systematic fixed income portfolio, including liquidity and risk The systematic return sources for rate and credit sensitive fixed income assets in both developed and emerging markets An essential read for asset managers and institutional investors with a professional interest in fixed income markets, Systematic Fixed Income: An Investor’s Guide deserves a place in the libraries of advanced degree students of finance, business, and investment, as well as other investment professionals seeking to refine their understanding of the full potential of this foundational asset class.