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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, giv...
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, giv...
This book examines the dynamic world of debt markets, products, valuation, and analysis. It also provides an in-depth understanding about this subject from experts in the field, both practitioners and academics. This volume spans the gamut from theoretical to practical and offers a useful balance of detailed and user-friendly coverage.
As western governments issue increasing amounts of debt, the fixed income markets have never been more important. Yet the methods for analyzing these markets have failed to keep pace with recent developments, including the deterioration in the credit quality of many sovereign issuers. In Fixed Income Relative Value Analysis, Doug Huggins and Christian Schaller address this gap with a set of analytic tools for assessing value in the markets for government bonds, interest rate swaps, and related basis swaps, as well as associated futures and options. Taking a practitioner’s point of view, the book presents the theory behind market analysis in connection with tools for finding and expressing ...
Modern Surgical Pathology, 2nd Edition presents today's most complete, current, and practical assistance in evaluating and signing out surgical specimens. Nearly 3,000 high-quality color pathology images provide a crystal-clear basis for comparison to any sample you see under the microscope. Clinical, gross, microscopic, immunohistochemical, and molecular genetic features are integrated as appropriate for all tumors and tumor-like lesions, addressing all of the investigative contexts relevant to formulating an accurate diagnosis. Edited by four leading surgical pathologists - Noel Weidner, MD, Richard J. Cote, MD, Saul Suster, MD and Lawrence M. Weiss, MD - with contributions from more than ...
Financial accounting theory has numerous practical applications and policy implications, for instance, international accounting standard setters are increasingly relying on theoretical accounting concepts in the creation of new standards; and corporate regulators are increasingly turning to various conceptual frameworks of accounting to guide regulation and the interpretation of accounting practices. The global financial crisis has also led to a new found appreciation of the social, economic and political importance of accounting concepts generally and corporate financial reporting in particular. For instance, the fundamentals of capital market theory (i.e. market efficiency) and measurement theory (i.e. fair value) have received widespread public and regulatory attention. This comprehensive, authoritative volume provides a prestige reference work which offers students, academics, regulators and practitioners a valuable resource containing the current scholarship and practice in the established field of financial accounting theory.
An apple a day keeps the doctor away. Humans use only ten percent of their brains. If you cross your eyes, they’ll stay that way. You may have heard these common sayings and beliefs before. But are they really true? Can they be proven using science? Let’s investigate seventeen health-related statements and find out which ones are right, which ones are wrong, and which ones still stump scientists! Find out if the five second rule for dropping food on the floor is true! Discover if eating chocolate can give you pimples! See if you can tell the difference between fact and fiction with Is That a Fact?
'NDiaye is a hypnotic storyteller with an unflinching understanding of the rock-bottom reality of most people's life.' New York Times ' One of France's most exciting prose stylists.' The Guardian. Obsessed by her encounters with the mysterious green women, and haunted by the Garonne River, a nameless narrator seeks them out in La Roele, Paris, Marseille, and Ouagadougou. Each encounter reveals different aspects of the women; real or imagined, dead or alive, seductive or suicidal, driving the narrator deeper into her obsession, in this unsettling exploration of identity, memory and paranoia. Self Portrait in Green is the multi-prize winning, Marie NDiaye's brilliant subversion of the memoir. Written in diary entries, with lyrical prose and dreamlike imagery, we start with and return to the river, which mirrors the narrative by posing more questions than it answers.
This book is a study of earnings management, aimed at scholars and professionals in accounting, finance, economics, and law. The authors address research questions including: Why are earnings so important that firms feel compelled to manipulate them? What set of circumstances will induce earnings management? How will the interaction among management, boards of directors, investors, employees, suppliers, customers and regulators affect earnings management? How to design empirical research addressing earnings management? What are the limitations and strengths of current empirical models?