Measuring the Non-linearity of Fixed Income Securities PDF Download
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Author: March S. Freed
Publisher:
ISBN:
Category : Fixed-income securities
Languages : en
Pages : 48
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Book Description
Author: March S. Freed
Publisher:
ISBN:
Category : Fixed-income securities
Languages : en
Pages : 48
Get Book Here
Book Description
Author: Kedar Nath Mukherjee
Publisher: Taylor & Francis
ISBN: 1000088685
Category : Business & Economics
Languages : en
Pages : 491
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Book Description
This book discusses important aspects of fixed income securities in emerging economies. Key features • Clarifies all conceptual and analytical aspects of fixed income securities and bonds, and covers important interest rate and credit derivative instruments in a simple and practical way. • Examines topics such as classifications of fixed income instruments; related risk-return measures; yield curve and term structure of interest rates; interest rate derivatives (forwards, futures and swaps), credit derivatives (credit default swaps); and trading strategies and risk management. • Provides step-by-step explanation of fixed income products by including real-life examples, scenarios and cases, especially in the context of emerging markets. • Presents consistent reference of actual market practices to make the chapters practice oriented while maintaining a lucid style complemented by adequate reading inputs and clear learning outcomes. • Includes complete solutions of numericals and cases for all chapters as an eResource on the Routledge website to aid understanding. The book will serve as a ready guide to both professionals from banking and finance industry (fixed income/bond dealers; fund/investment/portfolio managers; investment bankers; financial analysts/consultants; risk management specialists), and those in academics, including students, research scholars, and teachers in the fields of business management, banking, insurance, finance, financial economics, business economics, and risk management.
Author: Saied Simozar
Publisher: John Wiley & Sons
ISBN: 111901414X
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
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.
Author: Frank Fabozzi
Publisher: McGraw Hill Professional
ISBN: 0071718257
Category : Business & Economics
Languages : en
Pages : 37
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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.
Author: Sanjay K. Nawalkha
Publisher: John Wiley & Sons
ISBN: 0471737445
Category : Business & Economics
Languages : en
Pages : 429
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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.
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.
Author: Mark J. P. Anson
Publisher: John Wiley & Sons
ISBN: 1118250966
Category : Business & Economics
Languages : en
Pages : 898
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Book Description
"CAIA Association has developed two examinations that are used to certify Chartered Alternative Investment Analysts. The Level I curriculum builds a foundation in both traditional and alternative investment markets--for example, the range of statistics that are used to define investment performance as well as the many types of hedge fund strategies. The readings for the Level II exam focus on the same strategies, but change the context to one of risk management and portfolio optimization. Level I CAIA exam takers have to work through an outline of terms, be able to identify and describe aspects of financial markets, develop reasoning skills, and in some cases make computations necessary to solve business problems"--
Author: Moorad Choudhry
Publisher: John Wiley & Sons
ISBN: 0470879076
Category : Business & Economics
Languages : en
Pages : 497
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Book Description
The definitive guide to fixed-come securities-revised to reflect today's dynamic financial environment The Second Edition of the Fixed-Income Securities and Derivatives Handbook offers a completely updated and revised look at an important area of today's financial world. In addition to providing an accessible description of the main elements of the debt market, concentrating on the instruments used and their applications, this edition takes into account the effect of the recent financial crisis on fixed income securities and derivatives. As timely as it is timeless, the Second Edition of the Fixed-Income Securities and Derivatives Handbook includes a wealth of new material on such topics as covered and convertible bonds, swaps, synthetic securitization, and bond portfolio management, as well as discussions regarding new regulatory twists and the evolving derivatives market. Offers a more detailed look at the basic principles of securitization and an updated chapter on collateralized debt obligations Covers bond mathematics, pricing and yield analytics, and term structure models Includes a new chapter on credit analysis and the different metrics used to measure bond-relative value Contains illustrative case studies and real-world examples of the topics touched upon throughout the book Written in a straightforward and accessible style, Moorad Choudhry's new book offers the ideal mix of practical tips and academic theory within this important field.
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.
Author: Frank J. Fabozzi
Publisher: John Wiley & Sons
ISBN: 9781883249779
Category : Business & Economics
Languages : en
Pages : 280
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Book Description
In the turbulent marketplace of the New Economy, portfolio managers must expertly control risk for investors who demand better and better returns even from the safest investments. Finance and investing expert Frank Fabozzi leads a team of experts in the discussion of the key issues of fixed income portfolio management in the latest Perspectives title from his best-selling library. Perspectives on Fixed Income Portfolio Management covers topics on the frontiers of fixed income portfolio management with a focus on risk control, volatility framework for the corporate market, risk management for fixed income asset management, and credit derivatives in portfolio management. Other important topics include: attribution of portfolio performance relative to an index; quantitative analysis of fixed income portfolios; value-at-risk for fixed-income portfolios; methodological trade-offs. The book also provides a variety of illustrations.
