The Handbook of Fixed Income Securities, Chapter 42 - Hedging Interest-Rate Risk with Term-Structure Factor Models

The Handbook of Fixed Income Securities, Chapter 42 - Hedging Interest-Rate Risk with Term-Structure Factor Models PDF Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 0071715398
Category : Business & Economics
Languages : en
Pages : 23

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Book Description
From The Handbook of Fixed Income Securities--the most authoritative, widely read reference in the global fixed income marketplace--comes this sample chapter. This comprehensive survey of current knowledge features contributions from leading academics and practitioners and is not equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives you the facts and formulas you need to compete in today's transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management.

The Handbook of Fixed Income Securities, Chapter 42 - Hedging Interest-Rate Risk with Term-Structure Factor Models

The Handbook of Fixed Income Securities, Chapter 42 - Hedging Interest-Rate Risk with Term-Structure Factor Models PDF Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 0071715398
Category : Business & Economics
Languages : en
Pages : 23

Get Book Here

Book Description
From The Handbook of Fixed Income Securities--the most authoritative, widely read reference in the global fixed income marketplace--comes this sample chapter. This comprehensive survey of current knowledge features contributions from leading academics and practitioners and is not equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives you the facts and formulas you need to compete in today's transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management.

The Handbook of Fixed Income Securities, Chapter 36 - Fixed Income Risk Modeling

The Handbook of Fixed Income Securities, Chapter 36 - Fixed Income Risk Modeling PDF Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 0071715355
Category : Business & Economics
Languages : en
Pages : 16

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Book Description
From The Handbook of Fixed Income Securities--the most authoritative, widely read reference in the global fixed income marketplace--comes this sample chapter. This comprehensive survey of current knowledge features contributions from leading academics and practitioners and is not equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives you the facts and formulas you need to compete in today's transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management.

The Handbook of Fixed Income Securities, Chapter 33 - Credit Risk Modeling

The Handbook of Fixed Income Securities, Chapter 33 - Credit Risk Modeling PDF Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 0071715304
Category : Business & Economics
Languages : en
Pages : 24

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Book Description
From The Handbook of Fixed Income Securities--the most authoritative, widely read reference in the global fixed income marketplace--comes this sample chapter. This comprehensive survey of current knowledge features contributions from leading academics and practitioners and is not equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives you the facts and formulas you need to compete in today's transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management.

The Handbook of Fixed Income Securities, Chapter 41 - The Market Yield Curve and Fitting the Term Structure of Interest Rates

The Handbook of Fixed Income Securities, Chapter 41 - The Market Yield Curve and Fitting the Term Structure of Interest Rates PDF Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 007171538X
Category : Business & Economics
Languages : en
Pages : 31

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Book Description
From The Handbook of Fixed Income Securities--the most authoritative, widely read reference in the global fixed income marketplace--comes this sample chapter. This comprehensive survey of current knowledge features contributions from leading academics and practitioners and is not equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives you the facts and formulas you need to compete in today's transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management.

The Handbook of Fixed Income Securities

The Handbook of Fixed Income Securities PDF Author: Frank J. Fabozzi
Publisher: McGraw Hill Professional
ISBN: 007150205X
Category : Business & Economics
Languages : en
Pages : 1531

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Book Description
The world’s #1 fixed income book, now with 21 all-new chapters The Handbook of Fixed Income Securities occupies the top spot as the most authoritative, widely read reference in the global fixed income marketplace. First published in 1983, this comprehensive survey of current knowledge features contributions from leading academics and practitioners and has carved out a niche that cannot and will not be equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives finance professionals the facts and formulas they need to compete in today’s transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management, and features new chapters on topics including: Eurobonds Emerging market debt Credit risk modeling Synthetics CDOs Transition management And many more

Interest Rate Risk Modeling

Interest Rate Risk Modeling PDF Author: Sanjay K. Nawalkha
Publisher: John Wiley & Sons
ISBN: 0471427241
Category : Business & Economics
Languages : en
Pages : 436

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Book Description
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.

Optimization-Based Models for Measuring and Hedging Risk in Fixed Income Markets

Optimization-Based Models for Measuring and Hedging Risk in Fixed Income Markets PDF Author: Johan Hagenbjörk
Publisher: Linköping University Electronic Press
ISBN: 917929927X
Category :
Languages : en
Pages : 129

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Book Description
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 Handbook of Fixed Income Securities, Chapter 46 - Global Credit Bond Portfolio Management

The Handbook of Fixed Income Securities, Chapter 46 - Global Credit Bond Portfolio Management PDF Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 0071715460
Category : Business & Economics
Languages : en
Pages : 34

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Book Description
From The Handbook of Fixed Income Securities--the most authoritative, widely read reference in the global fixed income marketplace--comes this sample chapter. This comprehensive survey of current knowledge features contributions from leading academics and practitioners and is not equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives you the facts and formulas you need to compete in today's transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management.

Fixed Income Securities

Fixed Income Securities PDF Author: Bruce Tuckman
Publisher: John Wiley & Sons
ISBN: 0470891696
Category : Business & Economics
Languages : en
Pages : 640

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Book Description
Fixed income practitioners need to understand the conceptual frameworks of their field; to master its quantitative tool-kit; and to be well-versed in its cash-flow and pricing conventions. Fixed Income Securities, Third Edition by Bruce Tuckman and Angel Serrat is designed to balance these three objectives. The book presents theory without unnecessary abstraction; quantitative techniques with a minimum of mathematics; and conventions at a useful level of detail. The book begins with an overview of global fixed income markets and continues with the fundamentals, namely, arbitrage pricing, interest rates, risk metrics, and term structure models to price contingent claims. Subsequent chapters cover individual markets and securities: repo, rate and bond forwards and futures, interest rate and basis swaps, credit markets, fixed income options, and mortgage-backed-securities. Fixed Income Securities, Third Edition is full of examples, applications, and case studies. Practically every quantitative concept is illustrated through real market data. This practice-oriented approach makes the book particularly useful for the working professional. This third edition is a considerable revision and expansion of the second. Most examples have been updated. The chapters on fixed income options and mortgage-backed securities have been considerably expanded to include a broader range of securities and valuation methodologies. Also, three new chapters have been added: the global overview of fixed income markets; a chapter on corporate bonds and credit default swaps; and a chapter on discounting with bases, which is the foundation for the relatively recent practice of discounting swap cash flows with curves based on money market rates. [FOR THE UNIVERSITY EDITION] This university edition includes problems which students can use to test and enhance their understanding of the text.

The Handbook of Fixed Income Securities, Chapter 40 - A Framework for Analyzing Yield-Curve Trades

The Handbook of Fixed Income Securities, Chapter 40 - A Framework for Analyzing Yield-Curve Trades PDF Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 0071715371
Category : Business & Economics
Languages : en
Pages : 30

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Book Description
From The Handbook of Fixed Income Securities--the most authoritative, widely read reference in the global fixed income marketplace--comes this sample chapter. This comprehensive survey of current knowledge features contributions from leading academics and practitioners and is not equaled by any other single sourcebook. Now, the thoroughly revised and updated seventh edition gives you the facts and formulas you need to compete in today's transformed marketplace. It places increased emphasis on applications, electronic trading, and global portfolio management.