A Comparison Of Fixed Income Valuation Models
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A Comparison Of Fixed Income Valuation Models
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Author : Michael Jacobs
language : en
Publisher:
Release Date : 2001
A Comparison Of Fixed Income Valuation Models written by Michael Jacobs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Fixed-income securities categories.
Advanced Fixed Income Valuation Tools
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Author : Narasimhan Jegadeesh
language : en
Publisher: John Wiley & Sons
Release Date : 1999-12-28
Advanced Fixed Income Valuation Tools written by Narasimhan Jegadeesh 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 1999-12-28 with Business & Economics categories.
Presenting the most advanced thinking on the topic, this book covers the latest valuation models and techniques. It addresses essential topics such as the subtleties of fixed-income mathematics, new approaches to modeling term structures, and the applications of fixed-income valuation on credit risk, mortgages, munis, and indexed bonds.
Interest Rate Risk Modeling
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Author : Sanjay K. Nawalkha
language : en
Publisher: John Wiley & Sons
Release Date : 2005-05-31
Interest Rate Risk Modeling written by Sanjay K. Nawalkha 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 2005-05-31 with Business & Economics categories.
The definitive guide to fixed income valuation and risk analysis The Trilogy in Fixed Income Valuation and Risk Analysis comprehensively covers the most definitive work on interest rate risk, term structure analysis, and credit risk. The first book on interest rate risk modeling examines virtually every well-known IRR model used for pricing and risk analysis of various fixed income securities and their derivatives. The companion CD-ROM contain numerous formulas and programming tools that allow readers to better model risk and value fixed income securities. This comprehensive resource provides readers with the hands-on information and software needed to succeed in this financial arena.
Advances In Fixed Income Valuation Modeling And Risk Management
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Author : Frank J. Fabozzi, CFA
language : en
Publisher: John Wiley & Sons
Release Date : 1997-01-15
Advances In Fixed Income Valuation Modeling And Risk Management written by Frank J. Fabozzi, CFA 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 1997-01-15 with Business & Economics categories.
Advances in Fixed Income Valuation Modeling and Risk Management provides in-depth examinations by thirty-one expert research and opinion leaders on topics such as: problems encountered in valuing interest rate derivatives, tax effects in U.S. government bond markets, portfolio risk management, valuation of treasury bond futures contract's embedded options, and risk analysis of international bonds.
Fixed Income Analysis
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Author : Barbara S. Petitt
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-30
Fixed Income Analysis written by Barbara S. Petitt 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 2015-01-30 with Business & Economics categories.
The essential guide to fixed income portfolio management, from the experts at CFA Fixed Income Analysis is a new edition of Frank Fabozzi's Fixed Income Analysis, Second Edition that provides authoritative and up-to-date coverage of how investment professionals analyze and manage fixed income portfolios. With detailed information from CFA Institute, this guide contains comprehensive, example-driven presentations of all essential topics in the field to provide value for self-study, general reference, and classroom use. Readers are first introduced to the fundamental concepts of fixed income before continuing on to analysis of risk, asset-backed securities, term structure analysis, and a general framework for valuation that assumes no prior relevant background. The final section of the book consists of three readings that build the knowledge and skills needed to effectively manage fixed income portfolios, giving readers a real-world understanding of how the concepts discussed are practically applied in client-based scenarios. Part of the CFA Institute Investment series, this book provides a thorough exploration of fixed income analysis, clearly presented by experts in the field. Readers gain critical knowledge of underlying concepts, and gain the skills they need to translate theory into practice. Understand fixed income securities, markets, and valuation Master risk analysis and general valuation of fixed income securities Learn how fixed income securities are backed by pools of assets Explore the relationships between bond yields of different maturities Investment analysts, portfolio managers, individual and institutional investors and their advisors, and anyone with an interest in fixed income markets will appreciate this access to the best in professional quality information. For a deeper understanding of fixed income portfolio management practices, Fixed Income Analysis is a complete, essential resource.
Fixed Income Analysis Workbook
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Author : Barbara S. Petitt
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-17
Fixed Income Analysis Workbook written by Barbara S. Petitt 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 2019-10-17 with Business & Economics categories.
THE THOROUGHLY REVISED AND UPDATED FOURTH EDITION OF THE COMPANION WORKBOOK TO FIXED INCOME ANALYSIS Now in its fourth edition, the Fixed Income Analysis Workbook offers a range of practical information and exercises that will enhance your understanding of the tools, strategies, and techniques associated with fixed-income portfolio management. Written by a team of knowledgeable contributors, this hands-on resource helps busy professionals and those new to the discipline apply the concepts and methodologies that are essential for mastery. The Workbook is an accessible guide for understanding the metrics, methods, and mechanics as applied in the competitive world of fixed-income analysis. It also provides a stress-free way to practice the tools and techniques described in the companion text. The Fixed Income Analysis Workbook includes information and exercises to help you: Work real-world problems associated with fixed-income risk and return Review the fundamentals of asset-backed securities Comprehend the principles of credit analysis Understand the arbitrage-free valuation framework Practice important methods and techniques before applying them in actual situations The fourth edition provides updated coverage of fixed income portfolio management including detailed applications of liability-driven and index-based strategies, exposure to the major types of yield curve strategies, and practical approaches to implementing active credit strategies. For anyone who wants a more solid understanding of fixed-income portfolio management, the Fixed Income Analysis Workbook is a comprehensive and practical resource.
Fixed Income Analysis
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Author : Barbara S. Petitt
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-17
Fixed Income Analysis written by Barbara S. Petitt 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 2019-10-17 with Business & Economics categories.
CFA Institute's essential guide to fixed-income portfolio management, revised and updated Now in its fourth edition, Fixed Income Analysis offers authoritative and up-to-date coverage of how successful investment professionals analyze and manage fixed-income portfolios. With contributions from a team of financial experts, the text is filled with detailed information from CFA Institute and contains a comprehensive review of the essential topics in the field. Fixed Income Analysis introduces the fundamental concepts of fixed-income securities and markets and provides in-depth coverage of fixed-income security valuation and portfolio management. The book contains a general framework for valuation that is designed to be accessible to both professionals and those new to the field. The fourth edition provides updated coverage of fixed-income portfolio management including detailed coverage of liability-driven and index-based strategies, the major types of yield curve strategies, and approaches to implementing active credit strategies. The authors include examples that help build the knowledge and skills needed to effectively manage fixed-income portfolios. Fixed Income Analysis gives a real-world understanding of how the concepts discussed are practically applied in client-based scenarios. Investment analysts, portfolio managers, individual and institutional investors and their advisors, and anyone with an interest in fixed-income markets will appreciate this accessible guide to fixed-income analysis.
Dynamic Term Structure Modeling
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Author : Sanjay K. Nawalkha
language : en
Publisher: Wiley
Release Date : 2007-06-04
Dynamic Term Structure Modeling written by Sanjay K. Nawalkha and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-04 with Business & Economics categories.
Praise for Dynamic Term Structure Modeling "This book offers the most comprehensive coverage of term-structure models I have seen so far, encompassing equilibrium and no-arbitrage models in a new framework, along with the major solution techniques using trees, PDE methods, Fourier methods, and approximations. It is an essential reference for academics and practitioners alike." --Sanjiv Ranjan Das Professor of Finance, Santa Clara University, California, coeditor, Journal of Derivatives "Bravo! This is an exhaustive analysis of the yield curve dynamics. It is clear, pedagogically impressive, well presented, and to the point." --Nassim Nicholas Taleb author, Dynamic Hedging and The Black Swan "Nawalkha, Beliaeva, and Soto have put together a comprehensive, up-to-date textbook on modern dynamic term structure modeling. It is both accessible and rigorous and should be of tremendous interest to anyone who wants to learn about state-of-the-art fixed income modeling. It provides many numerical examples that will be valuable to readers interested in the practical implementations of these models." --Pierre Collin-Dufresne Associate Professor of Finance, UC Berkeley "The book provides a comprehensive description of the continuous time interest rate models. It serves an important part of the trilogy, useful for financial engineers to grasp the theoretical underpinnings and the practical implementation." --Thomas S. Y. Ho, PHD President, Thomas Ho Company, Ltd, coauthor, The Oxford Guide to Financial Modeling
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.
Valuation Of Interest Sensitive Financial Instruments
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Author : David F. Babbel
language : en
Publisher: John Wiley & Sons
Release Date : 1996-11-13
Valuation Of Interest Sensitive Financial Instruments written by David F. Babbel 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 1996-11-13 with Business & Economics categories.
Valuations of Interest-Sensitive Financial Instruments provides in-depth analysis of the development and underpinnings of models that are essential to the financial analyst or valuation actuary. Complete coverage includes: spot and forward interest rates, discrete- and continuous-time one-factor models, multi-factor discrete- and continuous-time models, and simulation approaches.