Fixed Income Attribution
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Fixed Income Attribution
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Author : Andrew Colin
language : en
Publisher: John Wiley & Sons
Release Date : 2005-05-05
Fixed Income Attribution written by Andrew Colin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-05 with Business & Economics categories.
Fixed income attribution is by its very nature a complex and mathematically demanding topic, and there is little information available on this area. Fixed Income Attribution has been written to fill this tremendous void. This comprehensive resource contains both theoretical and practical information about running and understanding fixed income attribution, including the mathematics of attribution, practical limitations, benchmarks, presentation tools, and choosing and running an attribution system. Filled with insightful examples and expert advice, Fixed Income Attribution is the perfect source of information for those working in this complex environment.
Fixed Income Performance Attribution
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Author : Jozef Puchon
language : de
Publisher: Diplomica Verlag
Release Date : 2009-04
Fixed Income Performance Attribution written by Jozef Puchon and has been published by Diplomica Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04 with Business & Economics categories.
Der Begriff Performance-Attribution umschreibt grunds tzlich den Prozess der Zerlegung der Rendite und des Risikos eines Anlageportfolios in die einzelnen Anlageentscheidungs-Komponenten zwecks Analyse des Mehrwertes des aktiven Portfolio Managements und der Risiko-Komponenten der Anlagestrategie. Die Performance-Attributions-Analyse ist zu einem wertvollen Instrument f r die Beurteilung der Leistung der Investment Manager und des Anlageentscheidungsprozesses sowie f r die Verbesserung des Dialoges zwischen Kunden und Investment Managern geworden. Der Wert der Performance-Attribution liegt nicht nur in der verbesserten Transparenz, sondern auch in Konkretisierung der Diskussionen ber die absolute und relative Performance. Solche Analysen bieten dem Betrachter eine transparente Basis, um die getroffenen Investitionsentscheidungen zu beurteilen und eventuelle Folgema nahmen bez glich des Anlageprozesses einzuleiten. Im Rahmen meiner Arbeit besch ftige ich mich nicht mit den ganzen Performance-Attribution-Analysen, sondern nur mit dem Spezialbereich Fixed-Income-Attribution.
Managing Fixed Income Portfolios
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Author : Frank J. Fabozzi
language : en
Publisher: John Wiley & Sons
Release Date : 1997-06-15
Managing Fixed Income Portfolios written by Frank J. Fabozzi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-06-15 with Business & Economics categories.
A contributed handbook on the complexities of portfolio management that includes the most up-to-date findings from leading practitioners in the fixed income securities market.
Fixed Income Portfolio Analytics
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Author : David Jamieson Bolder
language : en
Publisher: Springer
Release Date : 2015-02-02
Fixed Income Portfolio Analytics written by David Jamieson Bolder and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-02 with Business & Economics categories.
The book offers a detailed, robust, and consistent framework for the joint consideration of portfolio exposure, risk, and performance across a wide range of underlying fixed-income instruments and risk factors. Through extensive use of practical examples, the author also highlights the necessary technical tools and the common pitfalls that arise when working in this area. Finally, the book discusses tools for testing the reasonableness of the key analytics to help build and maintain confidence for using these techniques in day-to-day decision making. This will be of keen interest to risk managers, analysts and asset managers responsible for fixed-income portfolios.
Introduction To Fixed Income Analysis And Portfolio Management
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Author : Frank J. Fabozzi
language : en
Publisher: MIT Press
Release Date : 2025-01-21
Introduction To Fixed Income Analysis And Portfolio Management written by Frank J. Fabozzi and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
A concise but comprehensive introduction to fixed income analysis for undergraduate and graduate students. Offering more concise and less technical coverage of the material featured in the classic text Bond Markets, Analysis, and Strategies, this streamlined book is rightsized for a one-semester fixed-income course. In accessible terms, Frank Fabozzi describes the sectors of the fixed-income market, details how to value fixed-income instruments, and shows how to measure interest rate risk and how to manage a fixed income portfolio. Key concepts are illustrated with extensive examples and exercises, and end-of-chapter questions invite further research. The result is an incisive but approachable introduction to fixed-income analysis for undergraduate finance and business students. Comprehensive coverage of fixed-income markets Easy-to-understand framing of mathematical concepts accommodates a wide readership with varying levels of mathematical expertise Extensive illustrations and examples animate analytical chapters Written by an expert with deep experience in the asset management industry and the classroom Pragmatic modular structuring of content enables adaptability to different curricula Instructor resources available
Blackrock S Guide To Fixed Income Risk Management
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Author : BlackRock, Inc.
language : en
Publisher: John Wiley & Sons
Release Date : 2023-10-25
Blackrock S Guide To Fixed Income Risk Management written by BlackRock, Inc. and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Business & Economics categories.
An irreplaceable roadmap to modern risk management from renowned experts on the subject Edited by a co-founder and the former Chief Risk Officer of BlackRock—the world’s largest asset manager—BlackRock’s Guide to Fixed-Income Risk Management delivers an insightful blueprint to the implementation of a comprehensive investment risk management framework for buy-side firms. Leveraging the unprecedented academic and professional experience of current and former senior leaders in BlackRock’s risk and portfolio management functions, as well as trading, financial modeling, and analytics experts, the book serves a practitioner’s guide to investment risk management, leveraging BlackRock’s risk management framework. The included chapters combine to provide chief investment officers, risk managers, portfolio managers, researchers, and compliance professionals an approach to investment risk management well-suited for today's and tomorrow's markets. The book also presents: Critical elements that underpin a strong risk management program and culture Fixed income risk management concepts and theories that can be applied to other asset classes Lessons learned from financial crises and the COVID-19 Pandemic Ideal for undergraduate students and students and scholars of business, finance, and risk management, BlackRock’s Guide to Fixed-Income Risk Management is a one-of-a-kind combination of modern theory with proven, practical risk management strategies.
Fixed Income Securities
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Author : Bruce Tuckman
language : en
Publisher: John Wiley & Sons
Release Date : 2022-09-07
Fixed Income Securities written by Bruce Tuckman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-07 with Business & Economics categories.
Build or brush up on the foundation you need to be a sophisticated fixed income professional with this proven book Fixed Income Securities: Tools for Today’s Markets has been a valued resource for practitioners and students for over 25 years. Clearly written, and drawing on a myriad of real market examples, it presents an overview of fixed income markets; explains the conceptual frameworks and quantitative tool kits used in the industry for pricing and hedging; and examines a wide range of fixed income instruments and markets, including: government bonds; interest rate swaps; repurchase agreements; interest rate futures; note and bond futures; bond options and swaptions; corporate bonds; credit default swaps; and mortgages and mortgage-backed securities. Appearing a decade after its predecessor, this long-awaited Fourth Edition is comprehensively revised with: An up-to-date overview, including monetary policy with abundant reserves and the increasing electronification of market All new examples, applications, and case studies, including lessons from market upheavals through the pandemic New material on fixed income asset management The global transition from LIBOR to SOFR and other rates
Advanced Fixed Income Analytics
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Author : Wesley Phoa
language : en
Publisher: John Wiley & Sons
Release Date : 1997-11-09
Advanced Fixed Income Analytics written by Wesley Phoa and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-11-09 with Business & Economics categories.
Advanced Fixed Income Analytics helps fixed income professionals stay abreast of the latest developments in the field by providing a practical account of quantitative methods in the fixed income market. Wesley Phoa covers a variety of important topics within the bond markets, including inflation-indexed bonds, prepayment risk and modeling, term structure models, credit spread and volatility risk, and risk measures and return attribution. The information and guidance of Advanced Fixed Income Analytics has a strong emphasis on empirical analysis and practical applications that will prepare you for anything within the fixed income market.
Optimization Based Models For Measuring And Hedging Risk In Fixed Income Markets
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Author : Johan Hagenbjörk
language : en
Publisher: Linköping University Electronic Press
Release Date : 2019-12-09
Optimization Based Models For Measuring And Hedging Risk In Fixed Income Markets written by Johan Hagenbjörk and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with categories.
The global fixed income market is an enormous financial market whose value by far exceeds that of the public stock markets. The interbank market consists of interest rate derivatives, whose primary purpose is to manage interest rate risk. The credit market primarily consists of the bond market, which links investors to companies, institutions, and governments with borrowing needs. This dissertation takes an optimization perspective upon modeling both these areas of the fixed-income market. Legislators on the national markets require financial actors to value their financial assets in accordance with market prices. Thus, prices of many assets, which are not publicly traded, must be determined mathematically. The financial quantities needed for pricing are not directly observable but must be measured through solving inverse optimization problems. These measurements are based on the available market prices, which are observed with various degrees of measurement noise. For the interbank market, the relevant financial quantities consist of term structures of interest rates, which are curves displaying the market rates for different maturities. For the bond market, credit risk is an additional factor that can be modeled through default intensity curves and term structures of recovery rates in case of default. By formulating suitable optimization models, the different underlying financial quantities can be measured in accordance with observable market prices, while conditions for economic realism are imposed. Measuring and managing risk is closely connected to the measurement of the underlying financial quantities. Through a data-driven method, we can show that six systematic risk factors can be used to explain almost all variance in the interest rate curves. By modeling the dynamics of these six risk factors, possible outcomes can be simulated in the form of term structure scenarios. For short-term simulation horizons, this results in a representation of the portfolio value distribution that is consistent with the realized outcomes from historically observed term structures. This enables more accurate measurements of interest rate risk, where our proposed method exhibits both lower risk and lower pricing errors compared to traditional models. We propose a method for decomposing changes in portfolio values for an arbitrary portfolio into the risk factors that affect the value of each instrument. By demonstrating the method for the six systematic risk factors identified for the interbank market, we show that almost all changes in portfolio value and portfolio variance can be attributed to these risk factors. Additional risk factors and approximation errors are gathered into two terms, which can be studied to ensure the quality of the performance attribution, and possibly improve it. To eliminate undesired risk within trading books, banks use hedging. Traditional methods do not take transaction costs into account. We, therefore, propose a method for managing the risks in the interbank market through a stochastic optimization model that considers transaction costs. This method is based on a scenario approximation of the optimization problem where the six systematic risk factors are simulated, and the portfolio variance is weighted against the transaction costs. This results in a method that is preferred over the traditional methods for all risk-averse investors. For the credit market, we use data from the bond market in combination with the interbank market to make accurate measurements of the financial quantities. We address the notoriously difficult problem of separating default risk from recovery risk. In addition to the previous identified six systematic risk factors for risk-free interests, we identify four risk factors that explain almost all variance in default intensities, while a single risk factor seems sufficient to model the recovery risk. Overall, this is a higher number of risk factors than is usually found in the literature. Through a simple model, we can measure the variance in bond prices in terms of these systematic risk factors, and through performance attribution, we relate these values to the empirically realized variances from the quoted bond prices. De globala ränte- och kreditmarknaderna är enorma finansiella marknader vars sammanlagda värden vida överstiger de publika aktiemarknadernas. Räntemarknaden består av räntederivat vars främsta användningsområde är hantering av ränterisker. Kreditmarknaden utgörs i första hand av obligationsmarknaden som syftar till att förmedla pengar från investerare till företag, institutioner och stater med upplåningsbehov. Denna avhandling fokuserar på att utifrån ett optimeringsperspektiv modellera både ränte- och obligationsmarknaden. Lagstiftarna på de nationella marknaderna kräver att de finansiella aktörerna värderar sina finansiella tillgångar i enlighet med marknadspriser. Därmed måste priserna på många instrument, som inte handlas publikt, beräknas matematiskt. De finansiella storheter som krävs för denna prissättning är inte direkt observerbara, utan måste mätas genom att lösa inversa optimeringsproblem. Dessa mätningar görs utifrån tillgängliga marknadspriser, som observeras med varierande grad av mätbrus. För räntemarknaden utgörs de relevanta finansiella storheterna av räntekurvor som åskådliggör marknadsräntorna för olika löptider. För obligationsmarknaden utgör kreditrisken en ytterligare faktor som modelleras via fallissemangsintensitetskurvor och kurvor kopplade till förväntat återvunnet kapital vid eventuellt fallissemang. Genom att formulera lämpliga optimeringsmodeller kan de olika underliggande finansiella storheterna mätas i enlighet med observerbara marknadspriser samtidigt som ekonomisk realism eftersträvas. Mätning och hantering av risker är nära kopplat till mätningen av de underliggande finansiella storheterna. Genom en datadriven metod kan vi visa att sex systematiska riskfaktorer kan användas för att förklara nästan all varians i räntekurvorna. Genom att modellera dynamiken i dessa sex riskfaktorer kan tänkbara utfall för räntekurvor simuleras. För kortsiktiga simuleringshorisonter resulterar detta i en representation av fördelningen av portföljvärden som väl överensstämmer med de realiserade utfallen från historiskt observerade räntekurvor. Detta möjliggör noggrannare mätningar av ränterisk där vår föreslagna metod uppvisar såväl lägre risk som mindre prissättningsfel jämfört med traditionella modeller. Vi föreslår en metod för att dekomponera portföljutvecklingen för en godtycklig portfölj till de riskfaktorer som påverkar värdet för respektive instrument. Genom att demonstrera metoden för de sex systematiska riskfaktorerna som identifierats för räntemarknaden visar vi att nästan all portföljutveckling och portföljvarians kan härledas till dessa riskfaktorer. Övriga riskfaktorer och approximationsfel samlas i två termer, vilka kan användas för att säkerställa och eventuellt förbättra kvaliteten i prestationshärledningen. För att eliminera oönskad risk i sina tradingböcker använder banker sig av hedging. Traditionella metoder tar ingen hänsyn till transaktionskostnader. Vi föreslår därför en metod för att hantera riskerna på räntemarknaden genom en stokastisk optimeringsmodell som också tar hänsyn till transaktionskostnader. Denna metod bygger på en scenarioapproximation av optimeringsproblemet där de sex systematiska riskfaktorerna simuleras och portföljvariansen vägs mot transaktionskostnaderna. Detta resulterar i en metod som, för alla riskaverta investerare, är att föredra framför de traditionella metoderna. På kreditmarknaden använder vi data från obligationsmarknaden i kombination räntemarknaden för att göra noggranna mätningar av de finansiella storheterna. Vi angriper det erkänt svåra problemet att separera fallissemangsrisk från återvinningsrisk. Förutom de tidigare sex systematiska riskfaktorerna för riskfri ränta, identifierar vi fyra riskfaktorer som förklarar nästan all varians i fallissemangsintensiteter, medan en enda riskfaktor tycks räcka för att modellera återvinningsrisken. Sammanlagt är detta ett större antal riskfaktorer än vad som brukar användas i litteraturen. Via en enkel modell kan vi mäta variansen i obligationspriser i termer av dessa systematiska riskfaktorer och genom prestationshärledningen relatera dessa värden till de empiriskt realiserade varianserna från kvoterade obligationspriser.
The Advanced Fixed Income And Derivatives Management Guide
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Author : Saied Simozar
language : en
Publisher: John Wiley & Sons
Release Date : 2015-06-15
The Advanced Fixed Income And Derivatives Management Guide written by Saied Simozar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-15 with Business & Economics categories.
A highly-detailed, practical analysis of fixed income management The Advanced Fixed Income and Derivatives Management Guide provides a completely novel framework for analysis of fixed income securities and portfolio management, with over 700 useful equations. The most detailed analysis of inflation linked and corporate securities and bond options analysis available;, this book features numerous practical examples that can be used for creating alpha transfer to any fixed income portfolio. With a framework that unifies back office operations, such as risk management and portfolio management in a consistent way, readers will be able to better manage all sectors of fixed income, including bonds, mortgages, credits, and currencies, and their respective derivatives, including bond and interest rate futures and options, callable bonds, credit default swaps, interest rate swaps, swaptions and inflation swaps. Coverage includes never-before-seen detail on topics including recovery value, partial yields, arbitrage, and more, and the companion website features downloadable worksheets that can be used for measuring the risks of securities based on the term structure models. Many theoretical models of the Term Structure of Interest Rates (TSIR) lack the accuracy to be used by market practitioners, and the most popular models are not mathematically stable. This book helps readers develop stable and accurate TSIR for all fundamental rates, enabling analysis of even the most complex securities or cash flow structure. The components of the TSIR are almost identical to the modes of fluctuations of interest rates and represent the language with which the markets speak. Examine unique arbitrage, risk measurement, performance attribution, and replication of bond futures Learn to estimate recovery value from market data, and the impact of recovery value on risks Gain deeper insight into partial yields, product design, and portfolio construction Discover the proof that corporate bonds cannot follow efficient market hypothesis This useful guide provides a framework for systematic and consistent management of all global fixed income assets based on the term structure of rates. Practitioners seeking a more thorough management system will find solutions in The Advanced Fixed Income and Derivatives Management Guide.