Market Risk Analysis, Pricing, Hedging and Trading Financial Instruments

Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 0470772816

Category: Business & Economics

Page: 416

View: 6678

Written by leading market risk academic, Professor Carol Alexander, Pricing, Hedging and Trading Financial Instruments forms part three of the Market Risk Analysis four volume set. This book is an in-depth, practical and accessible guide to the models that are used for pricing and the strategies that are used for hedging financial instruments, and to the markets in which they trade. It provides a comprehensive, rigorous and accessible introduction to bonds, swaps, futures and forwards and options, including variance swaps, volatility indices and their futures and options, to stochastic volatility models and to modelling the implied and local volatility surfaces. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Duration-Convexity approximation to bond portfolios, and portfolio immunization; Pricing floaters and vanilla, basis and variance swaps; Coupon stripping and yield curve fitting; Proxy hedging, and hedging international securities and energy futures portfolios; Pricing models for European exotics, including barriers, Asians, look-backs, choosers, capped, contingent, power, quanto, compo, exchange, ‘best-of’ and spread options; Libor model calibration; Dynamic models for implied volatility based on principal component analysis; Calibration of stochastic volatility models (Matlab code); Simulations from stochastic volatility and jump models; Duration, PV01 and volatility invariant cash flow mappings; Delta-gamma-theta-vega mappings for options portfolios; Volatility beta mapping to volatility indices.

Market Risk Analysis, Pricing, Hedging and Trading Financial Instruments

Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 9780470997895

Category: Business & Economics

Page: 416

View: 3744

Written by leading market risk academic, Professor Carol Alexander, Pricing, Hedging and Trading Financial Instruments forms part three of the Market Risk Analysis four volume set. This book is an in-depth, practical and accessible guide to the models that are used for pricing and the strategies that are used for hedging financial instruments, and to the markets in which they trade. It provides a comprehensive, rigorous and accessible introduction to bonds, swaps, futures and forwards and options, including variance swaps, volatility indices and their futures and options, to stochastic volatility models and to modelling the implied and local volatility surfaces. All together, the MARKET RISK ANALYSIS four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM. In this volume alone there are over 200 spreadsheets in 25 workbooks. Here are just some of he illustrative empirical examples and case studies in this volume: Duration-Convexity approximation to bond portfolios, and portfolio immunization; Pricing floaters and vanilla, basis and variance swaps; Coupon stripping and yield curve fitting; Proxy hedging, and hedging international securities and energy futures portfolios; Pricing models for European exotics, including barriers, Asians, look-backs, choosers, capped, contingent, power, quanto, compo, exchange, ‘best-of’ and spread options; Libor model calibration; Dynamic models for implied volatility based on principal component analysis; Calibration of stochastic volatility models (Matlab code); Simulations from stochastic volatility and jump models; Duration, PV01 and volatility invariant cash flow mappings; Delta-gamma-theta-vega mappings for options portfolios; Volatility beta mapping to volatility indices.

Market Risk Analysis, Practical Financial Econometrics

Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 0470771038

Category: Business & Economics

Page: 426

View: 7768

Written by leading market risk academic, Professor Carol Alexander, Practical Financial Econometrics forms part two of the Market Risk Analysis four volume set. It introduces the econometric techniques that are commonly applied to finance with a critical and selective exposition, emphasising the areas of econometrics, such as GARCH, cointegration and copulas that are required for resolving problems in market risk analysis. The book covers material for a one-semester graduate course in applied financial econometrics in a very pedagogical fashion as each time a concept is introduced an empirical example is given, and whenever possible this is illustrated with an Excel spreadsheet. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Factor analysis with orthogonal regressions and using principal component factors; Estimation of symmetric and asymmetric, normal and Student t GARCH and E-GARCH parameters; Normal, Student t, Gumbel, Clayton, normal mixture copula densities, and simulations from these copulas with application to VaR and portfolio optimization; Principal component analysis of yield curves with applications to portfolio immunization and asset/liability management; Simulation of normal mixture and Markov switching GARCH returns; Cointegration based index tracking and pairs trading, with error correction and impulse response modelling; Markov switching regression models (Eviews code); GARCH term structure forecasting with volatility targeting; Non-linear quantile regressions with applications to hedging.

Risk Management in Commodity Markets

From Shipping to Agriculturals and Energy

Author: Helyette Geman

Publisher: John Wiley & Sons

ISBN: 0470740817

Category: Business & Economics

Page: 320

View: 9115

Commodities represent today the fastest growing markets worldwide. Historically misunderstood, generally under- studied and under- valued, certainly under- represented in the literature, commodities are suddenly receiving the attention they deserve. Bringing together some of the best authors in the field, this book focuses on the risk management issues associated with both soft and hard commodities: energy, weather, agriculturals, metals and shipping. Taking the reader through every part of the commodities markets, the authors discuss the intricacies of modelling spot and forward prices, as well as the design of new Futures markets. The book also looks at the use of options and other derivative contract forms for hedging purposes, as well as supply management in commodity markets. It looks at the implications for climate policy and climate research and analyzes the various freight derivatives markets and products used to manage shipping and freight risk in a global commodity world. It is required reading for energy and mining companies, utilities’ practitioners, commodity and cash derivatives traders in investment banks, CTA’s and hedge funds

Portfolio Theory and Management

Author: H. Kent Baker,Greg Filbeck

Publisher: Oxford University Press

ISBN: 0199311404

Category: Business & Economics

Page: 816

View: 1631

Portfolio management is an ongoing process of constructing portfolios that balances an investor's objectives with the portfolio manager's expectations about the future. This dynamic process provides the payoff for investors. Portfolio management evaluates individual assets or investments by their contribution to the risk and return of an investor's portfolio rather than in isolation. This is called the portfolio perspective. Thus, by constructing a diversified portfolio, a portfolio manager can reduce risk for a given level of expected return, compared to investing in an individual asset or security. According to modern portfolio theory (MPT), investors who do not follow a portfolio perspective bear risk that is not rewarded with greater expected return. Portfolio diversification works best when financial markets are operating normally compared to periods of market turmoil such as the 2007-2008 financial crisis. During periods of turmoil, correlations tend to increase thus reducing the benefits of diversification. Portfolio management today emerges as a dynamic process, which continues to evolve at a rapid pace. The purpose of Portfolio Theory and Management is to take readers from the foundations of portfolio management with the contributions of financial pioneers up to the latest trends emerging within the context of special topics. The book includes discussions of portfolio theory and management both before and after the 2007-2008 financial crisis. This volume provides a critical reflection of what worked and what did not work viewed from the perspective of the recent financial crisis. Further, the book is not restricted to the U.S. market but takes a more global focus by highlighting cross-country differences and practices. This 30-chapter book consists of seven sections. These chapters are: (1) portfolio theory and asset pricing, (2) the investment policy statement and fiduciary duties, (3) asset allocation and portfolio construction, (4) risk management, (V) portfolio execution, monitoring, and rebalancing, (6) evaluating and reporting portfolio performance, and (7) special topics.

Market Risk Analysis, Value at Risk Models

Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 047074507X

Category: Business & Economics

Page: 492

View: 683

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL); New formulae for VaR based on autocorrelated returns; Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR; Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas; Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios; Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components; Backtesting and the assessment of risk model risk; Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL.

Market Risk Analysis

Author: Carol Alexander

Publisher: Wiley

ISBN: 9780470997994

Category: Business & Economics

Page: 1652

View: 2834

Market Risk Analysis is the most comprehensive, rigorous and detailed resource available on market risk analysis. Written as a series of four interlinked volumes each title is self-contained, although numerous cross-references to other volumes enable readers to obtain further background knowledge and information about financial applications. Volume I: Quantitative Methods in Finance covers the essential mathematical and financial background for subsequent volumes. Although many readers will already be familiar with this material, few competing texts contain such a complete and pedagogical exposition of all the basic quantitative concepts required for market risk analysis. There are six comprehensive chapters covering all the calculus, linear algebra, probability and statistics, numerical methods and portfolio mathematics that are necessary for market risk analysis. This is an ideal background text for a Masters course in finance. Volume II: Practical Financial Econometrics provides a detailed understanding of financial econometrics, with applications to asset pricing and fund management as well as to market risk analysis. It covers equity factor models, including a detailed analysis of the Barra model and tracking error, principal component analysis, volatility and correlation, GARCH, cointegration, copulas, Markov switching, quantile regression, discrete choice models, non-linear regression, forecasting and model evaluation. Volume III: Pricing, Hedging and Trading Financial Instruments has five very long chapters on the pricing, hedging and trading of bonds and swaps, futures and forwards, options and volatility as well detailed descriptions of mapping portfolios of these financial instruments to their risk factors. There are numerous examples, all coded in interactive Excel spreadsheets, including many pricing formulae for exotic options but excluding the calibration of stochastic volatility models, for which Matlab code is provided. The chapters on options and volatility together constitute 50% of the book, the slightly longer chapter on volatility concentrating on the dynamic properties the two volatility surfaces the implied and the local volatility surfaces that accompany an option pricing model, with particular reference to hedging. Volume IV: Value at Risk Models builds on the three previous volumes to provide by far the most comprehensive and detailed treatment of market VaR models that is currently available in any textbook. The exposition starts at an elementary level but, as in all the other volumes, the pedagogical approach accompanied by numerous interactive Excel spreadsheets allows readers to experience the application of parametric linear, historical simulation and Monte Carlo VaR models to increasingly complex portfolios. Starting with simple positions, after a few chapters we apply value-at-risk models to interest rate sensitive portfolios, large international securities portfolios, commodity futures, path dependent options and much else. This rigorous treatment includes many new results and applications to regulatory and economic capital allocation, measurement of VaR model risk and stress testing.

Investment Risk Management

Author: H. Kent Baker,Greg Filbeck

Publisher: Oxford University Press

ISBN: 0190214082

Category: Business & Economics

Page: 736

View: 1635

All investments carry with them some degree of risk. In the financial world, individuals, professional money managers, financial institutions, and many others encounter and must deal with risk. Risk management is a process of determining what risks exist in an investment and then handling those risks in the best-suited way. This is important because it can reduce or augment risk depending on the goals of investors and portfolio managers. The main purpose of Investment Risk Management is to provide an overview of developments in risk management and a synthesis of research involving these developments. The book examines ways to alter exposures through measuring and managing those exposures and provides an understanding of the latest strategies and trends within risk management. The scope of the coverage is broad and encompasses the most important aspects of investment risk management. Its 30 chapters are organized into six sections: (1) foundations of risk management, (2) types of risk, (3) quantitative assessment of risk, (4) risk and risk classes, (5) hedging risk and (6) going forward. The book should be of particular interest to sophisticated practitioners, investors, academics, and graduate finance students. Investment Risk Management provides a fresh look at this intriguing but complex subject.

Financial Engineering

Strategien, Bewertungen und Risikomanagement

Author: Michael Bloss

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 311053116X

Category: Business & Economics

Page: 674

View: 6006

Dieses Buch zeigt einzelne Strategien, Bewertungen, das Risikocontrolling und den Financial-Engineering-Prozess auf und geht dabei explizit auf die verwendeten Derivate sowie die eingesetzten Kombinationsstrategien ein. Gegenüber der Vorauflage wurde das Augenmerk verstärkt auf die Modelle im Financial Engineering, die neuen Produktausgestaltungen und die veränderte Regulatorik gelegt.

Bond and Money Markets

Strategy, Trading, Analysis

Author: Moorad Choudhry

Publisher: Butterworth-Heinemann

ISBN: 0080574939

Category: Business & Economics

Page: 1152

View: 2826

The Bond and Money Markets is an invaluable reference to all aspects of fixed income markets and instruments. It is highly regarded as an introduction and an advanced text for professionals and graduate students. Features comprehensive coverage of: * Government and Corporate bonds, Eurobonds, callable bonds, convertibles * Asset-backed bonds including mortgages and CDOs * Derivative instruments including futures, swaps, options, structured products * Interest-rate risk, duration analysis, convexity, and the convexity bias * The money markets, repo markets, basis trading, and asset/liability management * Term structure models, estimating and interpreting the yield curve * Portfolio management and strategies,total return framework, constructing bond indices * A stand alone reference book on interest rate swaps, the money markets, financial market mathematics, interest-rate futures and technical analysis * Includes introductory coverage of very specialised topics (for which one previously required several texts) such as VaR, Asset & liability management and credit derivatives * Combines accessible style with advanced level topics

Principles of Financial Engineering

Author: Salih N. Neftci

Publisher: Academic Press

ISBN: 9780080919973

Category: Mathematics

Page: 696

View: 7514

Principles of Financial Engineering, Second Edition, is a highly acclaimed text on the fast-paced and complex subject of financial engineering. This updated edition describes the "engineering" elements of financial engineering instead of the mathematics underlying it. It shows you how to use financial tools to accomplish a goal rather than describing the tools themselves. It lays emphasis on the engineering aspects of derivatives (how to create them) rather than their pricing (how they act) in relation to other instruments, the financial markets, and financial market practices. This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing. This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs. * The Second Edition presents 5 new chapters on structured product engineering, credit markets and instruments, and principle protection techniques, among other topics * Additions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should act * The Solutions Manual enhances the text by presenting additional cases and solutions to exercises

The Professional Risk Managers' Guide to Financial Instruments

Author: Professional Risk Managers' International Association (PRMIA)

Publisher: McGraw Hill Professional

ISBN: 007163164X

Category: Business & Economics

Page: 400

View: 4421

Techniques for pricing, hedging and trading The Professional Risk Managers' Guide to Financial Instruments will show you how manage the risk of the complex instruments offered to investors. Sponsored by PRMIA and edited by risk management experts Carol Alexander and Elizabeth Sheedy, this authoritative resource features contributions from eleven global experts who explore the major financial instruments, the valuation methods most appropriate for each, and strategies for assessing the associated market risks. The Professional Risk Managers' Guide to Financial Instruments offers step-by-step guidance in: The main types of bonds Futures and forward contracts Caps, floors, and interest rate options Swaps and swaptions Convertible bonds and other hybrid instruments Options, including exotic and path dependent pay-offs Using instruments for hedging and speculation

The Performance of Hedge Funds: Risk, Return, and Incentives

Author: Patrick Vogel

Publisher: GRIN Verlag

ISBN: 3638938638

Category:

Page: 36

View: 349

Studienarbeit aus dem Jahr 2007 im Fachbereich BWL - Allgemeines, Note: 1,3, Johann Wolfgang Goethe-Universitat Frankfurt am Main (Lehrstuhl fur Volkswirtschaftswirtschaftslehre, insbesondere Industrieokonomie Prof. Dr. Uwe Walz), Veranstaltung: Wettbewerbspolitik und Regulierung von Finanzintermediaren, 7 Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: Die vorliegende Seminararbeit befasst sich, auf Basis des von Ackermann, McEnally und Ravenscraft (Ackermann et al.) verfassten Artikels The Performance of Hedge Funds: Risk, Return, and Incentives," mit der Analyse der Performance von Hedge Funds. Im Rahmen dieses Artikels werden Untersuchungen der Performance-Komponenten, Rendite und Risiko, mit Hilfe statistischer Verfahren beschrieben und deren Ergebnisse dargestellt. Ziel dieser Untersuchungen war es zum einen zu erforschen, ob Hedge Funds in der Lage sind den Markt bzw. vergleichbare Anlageformen konstant zu ubertreffen. Hierfur wurden Performance-Vergleiche zwischen Hedge Funds und reprasentativen Marktindices bzw. Mutual Funds vorgenommen. Zum anderen sollte der Einfluss bestimmter Hedge Funds Eigenschaften auf die Performance erforscht werden. Diese Zusammenhange wurden mittels einer multiplen Regression analysiert. Der Artikel von Ackermann et al. geht neben der Vorgehensweise und den Resultate der Untersuchungen auch auf moglicherweise auftretende Probleme und systematische Messfehler der Analyse von Hedge Funds Daten ein. In der vorliegenden Seminararbeit sollen die wichtigsten Gesichtspunkte des Artikels wiedergeben werden. Es wird daher in Kapitel 2 zunachst ein kurzer Uberblick uber die Anlageform Hedge Funds gegeben, bevor in Kapitel 3 auf die statistischen Untersuchungen von Ackermann et al. naher eingegangen wird. In Kapitel 4 sollen dann die Resultate der Untersuchungen vorgestellt und kurz mogliche Interpretationen dargestellt werden. Anschliessend werden in Kapitel 5 die systematischen Messfehler, welche bei der Analyse von Hedge Fu

The Liberalization of Electricity and Natural Gas in the European Union

Author: Damien Geradin

Publisher: Kluwer Law International B.V.

ISBN: 9041115609

Category: Law

Page: 307

View: 3058

In this important book, notable European experts in the energy field provide valuable perspectives on the principal issues raised by the liberalisation of the electricity and natural gas markets in the EU. Lawyers, business people, regulators, and policymakers who deal with matters and issues in the energy, natural resources, and environmental fields will find the details and insights presented here of great value.

Das Risiko und sein Preis

Skin in the Game

Author: Nassim Nicholas Taleb

Publisher: Verlagsgruppe Random House GmbH

ISBN: 3641234522

Category: Social Science

Page: 384

View: 3029

Warum wir nur denen vertrauen sollten, die etwas zu verlieren haben Stehen wir für die Risiken ein, die wir verursachen? Zu viele der Menschen, die auf der Welt Macht und Einfluss haben, so Nassim Nicholas Taleb, müssen nicht wirklich den Kopf hinhalten für das, was sie tun und veranlassen. Intellektuelle, Journalisten, Bürokraten, Banker, ihnen vor allem wirft er vor, kein »Skin in the Game« zu haben. Weil sie den Preis nicht bezahlen müssen, wenn sie irren, fällen sie schlechte Entscheidungen. Taleb zeigt anhand vieler Beispiele, wie »Skin in the Game«, ein fundamentales Konzept des Risikomanagements, auf alle Bereiche unseres Lebens übertragen werden kann. Sein neues Buch, so provozierend und bahnbrechend wie »Der Schwarze Schwan«, fordert uns heraus, alles, was wir über Risiko und Verantwortung in Politik, Wirtschaft und Gesellschaft zu wissen glauben, neu zu denken.

The Mathematics of Finance

Modeling and Hedging

Author: Victor Goodman,Joseph Gail Stampfli

Publisher: American Mathematical Soc.

ISBN: 9780821847930

Category: Business & Economics

Page: 250

View: 1391

This book is ideally suited for an introductory undergraduate course on financial engineering. It explains the basic concepts of financial derivatives, including put and call options, as well as more complex derivatives such as barrier options and options on futures contracts. Both discrete and continuous models of market behavior are developed in this book. In particular, the analysis of option prices developed by Black and Scholes is explained in a self-contained way, using both the probabilistic Brownian Motion method and the analytical differential equations method. The book begins with binomial stock price models, moves on to multistage models, then to the Cox-Ross-Rubinstein option pricing process, and then to the Black-Scholes formula. Other topics presented include Zero Coupon Bonds, forward rates, the yield curve, and several bond price models. The book continues with foreign exchange models and the Keynes Interest Rate Parity Formula, and concludes with the study of country risk, a topic not inappropriate for the times. In addition to theoretical results, numerical models are presented in much detail. Each of the eleven chapters includes a variety of exercises.

Global Monitoring Report 2012

Food Prices, Nutrition, and the Millennium Development Goals

Author: World Bank,International Monetary Fund

Publisher: World Bank Publications

ISBN: 0821395238

Category: Medical

Page: 192

View: 6542

This year's report summarizes the short- and long-term impact of food prices on several MDGs, explores future trends, and review policy responses, from domestic policies such as social safety nets, nutritional programs and agricultural policies, to regional trade policies to support by the international community.

Financial Instrument Pricing Using C++

Author: Daniel J. Duffy

Publisher: John Wiley & Sons

ISBN: 1118856473

Category: Business & Economics

Page: 432

View: 5673

One of the best languages for the development of financial engineering and instrument pricing applications is C++. This book has several features that allow developers to write robust, flexible and extensible software systems. The book is an ANSI/ISO standard, fully object-oriented and interfaces with many third-party applications. It has support for templates and generic programming, massive reusability using templates (?write once?) and support for legacy C applications. In this book, author Daniel J. Duffy brings C++ to the next level by applying it to the design and implementation of classes, libraries and applications for option and derivative pricing models. He employs modern software engineering techniques to produce industrial-strength applications: Using the Standard Template Library (STL) in finance Creating your own template classes and functions Reusable data structures for vectors, matrices and tensors Classes for numerical analysis (numerical linear algebra ?) Solving the Black Scholes equations, exact and approximate solutions Implementing the Finite Difference Method in C++ Integration with the ?Gang of Four? Design Patterns Interfacing with Excel (output and Add-Ins) Financial engineering and XML Cash flow and yield curves Included with the book is a CD containing the source code in the Datasim Financial Toolkit. You can use this to get up to speed with your C++ applications by reusing existing classes and libraries. 'Unique... Let's all give a warm welcome to modern pricing tools.' -- Paul Wilmott, mathematician, author and fund manager