Wiley Finance Series – serie

Cut risk and generate profit even after the market drops The Second Leg Down offers practical approaches to profiting after a market event. Written by a specialist in global macro, volatility and hedging overlay strategies, this book provides in-depth insight into surviving in a volatile environment. Historical back tests and scenario diagrams illustrate a variety of strategies for offsetting portfolio risks with after-the-fact options hedging, and the discussion explores how a mixture of trend following and contrarian futures strategies can be beneficial. Without a rational analysis-based approach, investors often find themselves having to cut risk and buy protection just as options are at their most over-priced. This book provides practical strategies, expert analysis and the knowledge base to assist you in recovering your portfolio.Hedging strategies are often presented as expensive and unnecessary, especially during a bull market. When equity indices and other unstable assets drop, they find themselves stuck – hedging is now at its most expensive, but it is imperative to hedge or face liquidation. This book shows you how to salvage the situation, with strategies backed by expert analysis. Identify the right hedges during high volatilityGenerate attractive risk-adjusted returnsLearn new strategies for offsetting riskKnow your options for when losses have already occurredImagine this scenario: you've incurred significant losses, you're approaching risk limits, you must cut risk immediately, yet slashing positions would damage the portfolio – what do you do? The Second Leg Down is your emergency hotline, with practical strategies for dire conditions.

There has been an explosive growth in the number of corporates, investors and financial institutions turning to structured products to achieve cost savings, risk controls and yield enhancements. However, the exact nature, risks and applications of these products and solutions can be complex, and problems arise if the fundamental building blocks and principles are not fully understood. This book explains the most popular products and strategies with a focus on everything beyond vanilla options, dealing with these products in a literate yet accessible manner, giving practical applications and case studies. A special emphasis on how the client uses the products, with interviews and descriptions of real-life deals means that it will be possible to see how the products are applied in day-to-day situations – the theory is translated into practice.Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Understand the electricity market, its policies and how they drive prices, emissions, and security, with this comprehensive cross-disciplinary book. Author Chris Harris includes technical and quantitative arguments so you can confidently construct pricing models based on the various fluctuations that occur. Whether you?re a trader or an analyst, this book will enable you to make informed decisions about this volatile industry.

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.

Trustees are responsible for the stewardship of assets and for implementing the mission of their endowment or foundation. Almost invariably trustees delegate the management of those assets to agents who are investment professionals. In this increasingly sophisticated and litigious financial world there can be a growing gap of comprehension, exacerbated by mathematics and jargon, between trustees who are responsible and agents who are accountable.This book aims to fill that gap. The book draws on the author's own experience and research and that of generations of investment professionals and academics to explain the fundamentals of investment strategy. Key features are therefore: Foreword by George Keane (founder and former president of Commonfund, won the first ever Lifetime Achievement Award from Foundation & Endowment Money Management) one of the icons of endowment fund management in the USAimed at professional trusteesAn holistic approach to strategyAvoidance of jargon and mathematicsFocus on principles underlying asset strategy

In recent times, venture capital and private equity funds have become household names, but so far little has been written for the investors in such funds, the so-called limited partners. There is far more to the management of a portfolio of venture capital and private equity funds than usually perceived. Beyond the J Curve describes an innovative toolset for such limited partners to design and manage portfolios tailored to the dynamics of this market place, going far beyond the typical and often-simplistic recipe to 'go for top quartile funds'. Beyond the J Curve provides the answers to key questions, including: Why 'top-quartile' promises should be taken with a huge pinch of salt and what it takes to select superior fund managers?What do limited partners need to consider when designing and managing portfolios?How one can determine the funds' economic value to help addressing the questions of 'fair value' under IAS 39 and 'risk' under Basel II or Solvency II?Why is monitoring important, and how does a limited partner manage his portfolio?How the portfolio's returns can be improved through proper liquidity management and what to consider when over-committing?And, why uncertainty rather than risk is an issue and how a limited partner can address and benefit from the fast changing private equity environment?Beyond the J Curve takes the practitioner's view and offers private equity and venture capital professionals a comprehensive guide making high return targets more realistic and sustainable. This book is a must have for all parties involved in this market, as well as academic and students.

The last few years have been a watershed for the commodities, cash and derivatives industry. New regulations and products have led to an explosion in the commodities markets, creating a new asset for investors that includes hedge funds as well as University endowments, and has resulted in a spectacular growth in spot and derivative trading. This book covers hard and soft commodities (energy, agriculture and metals) and analyses: Economic and geopolitical issues in commodities marketsCommodity price and volume riskStochastic modelling of commodity spot prices and forward curvesReal options valuation and hedging of physical assets in the energy industryIt is required reading for energy companies and utilities practitioners, commodity cash and derivatives traders in investment banks, the Agrifood business, Commodity Trading Advisors (CTAs) and Hedge Funds.In Commodities and Commodity Derivatives, Hélyette Geman shows her powerful command of the subject by combining a rigorous development of its mathematical modelling with a compact institutional presentation of the arcane characteristics of commodities that makes the complex analysis of commodities derivative securities accessible to both the academic and practitioner who wants a deep foundation and a breadth of different market applications. It is destined to be a "must have" on the subject.”—Robert Merton, Professor, Harvard Business School"A marvelously comprehensive book of interest to academics and practitioners alike, by one of the world's foremost experts in the field."—Oldrich Vasicek, founder, KMV

Catastrophic risk is one of the most significant and challenging areas of corporate risk management. Analyze this risk for your company with Catastrophic Risk and make sure you have sufficient resources to absorb losses and avoid financial distress. The first comprehensive volume to address this topic from a financial perspective, this book is a guide to the worst financial risks threatening companies and industries today. Author Eric Banks begins with a consideration of ?catastrophe? and its mplications, looks at the state of actuarial and financial modelling of catastrophe risks, and discusses the creation of a risk management framework that will enable the efficient and secure management of exposure. Catastrophic Risk is essential reading if you're a corporate treasurer, CFO, or insurance/financial risk manager responsible for corporate risk management. Order your copy today.

Fully revised and restructured, Measuring Market Risk, Second Edition includes a new chapter on options risk management, as well as substantial new information on parametric risk, non-parametric measurements and liquidity risks, more practical information to help with specific calculations, and new examples including Q&A’s and case studies.

Derivatives Models on Models takes a theoretical and practical look at some of the latest and most important ideas behind derivatives pricing models. In each chapter the author highlights the latest thinking and trends in the area. A wide range of topics are covered, including valuation methods on stocks paying discrete dividend, Asian options, American barrier options, Complex barrier options, reset options, and electricity derivatives. The book also discusses the latest ideas surrounding finance like the robustness of dynamic delta hedging, option hedging, negative probabilities and space-time finance. The accompanying CD-ROM with additional Excel sheets includes the mathematical models covered in the book.The book also includes interviews with some of the world’s top names in the industry, and an insight into the history behind some of the greatest discoveries in quantitative finance. Interviewees include: Clive Granger, Nobel Prize winner in Economics 2003, on CointegrationNassim Taleb on Black SwansStephen Ross on Arbitrage Pricing TheoryEmanuel Derman the Wall Street QuantEdward Thorp on Gambling and TradingPeter Carr the Wall Street Wizard of Option Symmetry and VolatilityAaron Brown on Gambling, Poker and TradingDavid Bates on Crash and JumpsAndrei Khrennikov on Negative ProbabilitiesElie Ayache on Option Trading and ModelingPeter Jaeckel on Monte Carlo SimulationAlan Lewis on Stochastic Volatility and JumpsPaul Wilmott on Paul WilmottKnut Aase on Catastrophes and Financial EconomicsEduardo Schwartz the Yoga Master of Quantitative FinanceBruno Dupire on Local and Stochastic Volatility Models

The LIBOR Market Model (LMM) is the first model of interest rates dynamics consistent with the market practice of pricing interest rate derivatives and therefore it is widely used by financial institution for valuation of interest rate derivatives. This book provides a full practitioner's approach to the LIBOR Market Model. It adopts the specific language of a quantitative analyst to the largest possible level and is one of first books on the subject written entirely by quants. The book is divided into three parts - theory, calibration and simulation. New and important issues are covered, such as various drift approximations, various parametric and nonparametric calibrations, and the uncertain volatility approach to smile modelling; a version of the HJM model based on market observables and the duality between BGM and HJM models. Co-authored by Dariusz Gatarek, the 'G' in the BGM model who is internationally known for his work on LIBOR market models, this book offers an essential perspective on the global benchmark for short-term interest rates.

Throughout banking, mathematical techniques are used. Some of these are within software products or models; mathematicians use others to analyse data. The current literature on the subject is either very basic or very advanced. The Mathematics of Banking offers an intermediate guide to the various techniques used in the industry, and a consideration of how each one should be approached. Written in a practical style, it will enable readers to quickly appreciate the purpose of the techniques and, through illustrations, see how they can be applied in practice. Coverage is extensive and includes techniques such as VaR analysis, Monte Carlo simulation, extreme value theory, variance and many others. A practical review of mathematical techniques needed in banking which does not expect a high level of mathematical competence from the reader

This book introduces the reader to the C++ programming language and how to use it to write applications in quantitative finance (QF) and related areas. No previous knowledge of C or C++ is required -- experience with VBA, Matlab or other programming language is sufficient. The book adopts an incremental approach; starting from basic principles then moving on to advanced complex techniques and then to real-life applications in financial engineering. There are five major parts in the book: C++ fundamentals and object-oriented thinking in QFAdvanced object-oriented features such as inheritance and polymorphismTemplate programming and the Standard Template Library (STL)An introduction to GOF design patterns and their applications in QF ApplicationsThe kinds of applications include binomial and trinomial methods, Monte Carlo simulation, advanced trees, partial differential equations and finite difference methods.This book includes a companion website with all source code and many useful C++ classes that you can use in your own applications. Examples, test cases and applications are directly relevant to QF.This book is the perfect companion to Daniel J. Duffy’s book Financial Instrument Pricing using C++ (Wiley 2004, 0470855096 / 9780470021620)

Credit rating agencies play a critical role in capital markets, guiding the asset allocation of institutional investors as private capital moves freely around the world in search of the best trade-off between risk and return. However, they have also been strongly criticised for failing to spot the Asian crisis in the early 1990s, the Enron, WorldCom and Parmalat collapses in the early 2000s and finally for their ratings of subprime-related structured finance instruments and their role in the current financial crisis. This book is a guide to ratings, the ratings industry and the mechanics and economics of obtaining a rating. It sheds light on the role that the agencies play in the international financial markets. It avoids the sensationalist approach often associated with studies of rating scandals and the financial crisis, and instead provides an objective and critical analysis of the business of ratings. The book will be of practical use to any individual who has to deal with ratings and the ratings industry in their day-to-day job.Reviews"Rating agencies fulfil an important role in the capital markets, but given their power, they are frequently the object of criticism.  Some of it is justified but most of it portrays a lack of understanding of their business.  In their book The Rating Agencies and their Credit Ratings, Herwig and Patricia Langohr provide an excellent economic background to the role of rating agencies and also a thorough understanding of their business and the problems they face.  I recommend this book to all those who have an interest in this somewhat arcane but extremely important area."-Robin Monro-Davies, Former CEO, Fitch Ratings. "At a time of unprecedented public and political scrutiny of the effectiveness and indeed the basic business model of the Credit Rating industry, and heightened concerns regarding the transparency and accountability of the leading agencies, this book provides a commendably comprehensive overview, and should provide invaluable assistance in the ongoing debate."-Rupert Atkinson, Managing Director, Head of Credit Advisory Group, Morgan Stanley and member of the SIFMA Rating Agency Task Force "The Langohrs have provided useful information in a field where one frequently finds only opinions or misconceptions. They supply a firm base from which to understand changes now underway. A well-read copy of this monograph should be close to the desk of every investor, issuer and financial regulator, legislator or commentator."-John Grout, Policy and Technical Director, The Association of Corporate Treasurers

This book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask.Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders’ interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside risks (threats & opportunities) must be assessed to select the most efficient risk control measures and to set up efficient risk financing mechanisms. Only thus will an optimum return on capital and a reliable protection against bankruptcy be ensured, i.e. long term sustainable development.Within the ERM framework, each individual operational entity is called upon to control its own risks, within the guidelines set up by the board of directors, whereas the risk financing strategy is developed and implemented at the corporate level to optimise the balance between threats and opportunities, systematic and non systematic risks.This book is designed to equip each board member, each executives and each field manager, with the tool box enabling them to quantify the risks within his/her jurisdiction to all the extend possible and thus make sound, rational and justifiable decisions, while recognising the limits of the exercise. Beyond traditional probability analysis, used since the 18th Century by the insurance community, it offers insight into new developments like Bayesian expert networks, Monte-Carlo simulation, etc. with practical illustrations on how to implement them within the three steps of risk management, diagnostic, treatment and audit.With a foreword by Catherine Veret and an introduction by Kevin Knight.

One of the fastest growing investment sectors ever seen, hedge funds are considered by many to be exotic and inaccessible. This book provides an intensive learning experience, defining hedge funds, explaining hedge fund strategies while offering both qualitative and quantitative tools that investors need to access these types of funds. Topics not usually covered in discussions of hedge funds are included, such as a theoretical discussion of each hedge fund strategy followed by trading examples provided by successful hedge fund managers.

Structured Finance: The Object Orientated Approach is aimed at both the finance and IT professionals involved in the structured finance business with the intention of sharing common concepts and language within the industry. The financial community (structurers, pricers and risk managers) view structured products as collections of objects under the so-called replicating portfolio paradigm. The IT community use object oriented programming (OOP) techniques to improve the software updating and maintenance process. For them structured products are collections of objects as well. Despite use of the same object concept, it looks like communication between these different professional functions has been problematic. Recently, construction of standard data structures known as FpML has begun to lay out a common definition of objects, at least for plain vanilla derivatives, both between IT and financial people and across different market players. Along this line, this book builds upon the concept of object to provide frontier treatment of structured finance issues relevant to both communities engaged in building, pricing and hedging products and people engaged in designing and up-dating the corresponding software.  Structured Finance: The Object Orientated Approach will enable you to:  decompose a structured product in elementary constituent financial objects and risk factors (replicating portfolio)understand the basics of object oriented programming (OOP) applied to the design of structured cash flows objectsbuild your own objects and to understand FpML data structures available for standard productsgauge risk exposures of the objects in structured products to: risk factors, their volatilities and the correlation among them (which factor are you long/short? Are you long/short volatility? Are you long/short correlation?)update your risk management system to accommodate structured products with non linear exposures and to design objects to represent, price and hedge, counterparty risk

A comprehensive guide to the burgeoning hedge fund industry Intended as a comprehensive reference for investors and fund and portfolio managers, Handbook of Hedge Funds combines new material with updated information from Francois-Serge L’habitant’s two other successful hedge fund books. This book features up-to-date regulatory and historical information, new case studies and trade examples, detailed analyses of investment strategies, discussions of hedge fund indices and databases, and tips on portfolio construction.Francois-Serge L’habitant (Geneva, Switzerland) is the Head of Investment Research at Kedge Capital. He is Professor of Finance at the University of Lausanne and at EDHEC Business School, as well as the author of five books, including Hedge Funds: Quantitative Insights (0-470-85667-X) and Hedge Funds: Myths & Limits (0-470-84477-9), both from Wiley.

Professional investors are bombarded on a day to day basis with assertions about the role liquidity is playing and will play in determining prices in the financial markets. Few, if any, of the providers or recipients of such advice can truly claim to understand the well–springs of such liquidity and the transmission mechanisms through which it impacts asset prices. This groundbreaking new book explores the belief that at the core of liquidity there is a force which exerts individuals to effect a financial transaction when they would not otherwise do so.  Understanding this force of compulsion is a key to understanding a financial market when it appears to be behaving irrationally. This book will enable new and seasoned investors to develop an understanding of the factors, so that costly mistakes can be avoided without the lesson of experience.

Offering a deep insight into the venture capital deal-making process, Raising Venture Capital also provides valuable introduction to the subject. The book is practical in focus but based on sound academic theory, research and teaching materials gathered over the last 4 years at Tanaka Business School. Part one covers the history of the venture capital industry, shows why entrepreneurs need venture capital finance, and looks at how venture capitals raise and structure their funds. It also covers valuation methods for venture capital investments, and portfolio management.Part two illustrates how successful entrepreneurs raise finance from venture capitals, and gives details on how to approach venture capitals, how to choose the right venture capital firm, and how venture capitals and  entrepreneurs work together after the deal is done.Part three gives a blow-by-blow account of the structure of a venture capital deal.

Currency Strategy, Second Edition develops new techniques and explains classic tools available for predicting, managing, and optimizing fluctuations in the currency markets. Author Callum Henderson shows readers ho to use mathematical models to assist in the prediction of crises and gives practical advice on how to use these and other tools successfully. Given there such huge focus on China at the moment, the timing of this new edition is particularly important. The new edition will feature a thorough update on the key developments in the past 3 years, new chapters on emerging markets, an in-depth review of the markets of China and India and their currencies and much more.

Mathematical techniques for trading and risk management. Managing Energy Risk closes the gap between modern techniques from financial mathematics and the practical implementation for trading and risk management. It takes a multi-commodity approach that covers the mutual influences of the markets for fuels, emission certificates, and power. It includes many practical examples and covers methods from financial mathematics as well as economics and energy-related models.

This book presents an integrated framework for risk measurement, capital management and value creation in banks. Moving from the measurement of the risks facing a bank, it defines criteria and rules to support a corporate policy aimed at maximizing shareholders' value. Parts I - IV discuss different risk types (including interest rate, market, credit and operational risk) and how to assess the amount of capital they absorb by means of up-to-date, robust risk-measurement models. Part V surveys regulatory capital requirements: a special emphasis is given to the Basel II accord, discussing its economic foundations and managerial implications. Part VI presents models and techniques to calibrate the amount of economic capital at risk needed by the bank, to fine-tune its composition, to allocate it to risk-taking units, to estimate the "fair" return expected by shareholders, to monitor the value creation process. Risk Management and Shareholders' Value in Banking includes: * Value at Risk, Monte Carlo models, Creditrisk+, Creditmetrics and much more* formulae for risk-adjusted loan pricing and risk-adjusted performance measurement* extensive, hands-on Excel examples are provided on the companion website www.wiley.com/go/rmsv* a complete, up-to-date introduction to Basel II* focus on capital allocation, Raroc, EVA, cost of capital and other value-creation metrics

A practice-oriented guide to using C# to design and program pricing and trading modelsIn this step-by-step guide to software development for financial analysts, traders, developers and quants, the authors show both novice and experienced practitioners how to develop robust and accurate pricing models and employ them in real environments. Traders will learn how to design and implement applications for curve and surface modeling, fixed income products, hedging strategies, plain and exotic option modeling, interest rate options, structured bonds, unfunded structured products, and more. A unique mix of modern software technology and quantitative finance, this book is both timely and practical. The approach is thorough and comprehensive and the authors use a combination of C# language features, design patterns, mathematics and finance to produce efficient and maintainable software.Designed for quant developers, traders and MSc/MFE students, each chapter has numerous exercises and the book is accompanied by a dedicated companion website, www.datasimfinancial.com/forum/viewforum.php?f=196&sid=f30022095850dee48c7db5ff62192b34, providing all source code, alongside audio, support and discussion forums for readers to comment on the code and obtain new versions of the software.

In Understanding Islamic Finance Muhammad Ayub introduces all the essential elements of this growing market by providing an in-depth background to the subject and clear descriptions of all the major products and processes associated with Islamic finance. Key features include: Discussion of the principles of Islamic finance;Introduction to the key products and procedures that International Financial Institutions are using or may adopt to fund a variety of clients ensuring Sharī´ah compliance;Discussion of the role Islamic finance can play in the development of the financial system and of economies;Practical and operational examples that cover deposit and fund management by banks involving financing of various sectors of the economy, risk management, accounting treatment, and working of Islamic financial markets and instruments.This book is not only an important text for all banks and financial institutions entering this particular market with a commitment to building Islamic financial solutions, but is also essential reading for undergraduate and postgraduate students of Islamic finance.

Equity Valuation: Models from the Leading Investment Banks is a clear and reader-friendly guide to how today’s leading investment banks analyze firms.  Editors Jan Viebig and Thorsten Poddig bring together expertise from UBS, Morgan Stanley, DWS Investment GmbH and Credit Suisse, providing a unique analysis of leading equity valuation models, from the very individuals who use them.  Filled with real world insights, practical examples and theoretical approaches, the book will examine the strengths and weaknesses of some of the leading valuation approaches, helping readers understand how analysts: ·    estimate cash flows·    calculate discount rates·    adjust for accounting distortions·    take uncertainty into considerationWritten for investment professionals, corporate managers and anyone interested in developing their understanding of this key area, Equity Valuation: Models from the Leading Investment Banks will arm readers with the latest thinking and depth of knowledge necessary to make the right decisions in their valuation methodologies.

This book offers an in-depth and up-to-date review of different statistical tools that can be used to analyze and forecast the dynamics of two crucial for every energy company processes—electricity prices and loads. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk. Modeling and Forecasting Electricity Loads and Prices is packaged with a CD containing both the data and detailed examples of implementation of different techniques in Matlab, with additional examples in SAS. A reader can retrace all the intermediate steps of a practical implementation of a model and test his understanding of the method and correctness of the computer code using the same input data.The book will be of particular interest to the quants employed by the utilities, independent power generators and marketers, energy trading desks of the hedge funds and financial institutions, and the executives attending courses designed to help them to brush up on their technical skills. The text will be also of use to graduate students in electrical engineering, econometrics and finance wanting to get a grip on advanced statistical tools applied in this hot area. In fact, there are sixteen Case Studies in the book making it a self-contained tutorial to electricity load and price modeling and forecasting.

Macrofinancial risk analysis Dale Gray and Samuel Malone Macrofinancial Risk Analysis provides a new and powerful framework with which policymakers and investors can analyze risk and vulnerability in economies, both emerging market and industrial. Using modern risk management and financial engineering techniques applied to the macroeconomy, an economic value can be placed on the risks posed by inter-linkages between sectors, the risk of default of different sectors on their outstanding debt obligations quantified, and the value ex-ante of guarantees to private sector entities by the government calculated. This book guides the reader through the basic macroeconomic and financial models necessary to understand the framework, the core analytical tools, and more advanced contributions that will be of interest to researchers. This unique synthesis of ideas from finance and macroeconomics offers several original contributions to the theory of financial crises, as well as a range of new policy options for governments interested in achieving a better tradeoff between economic growth and macro risk.

This is one of the first books that describe all the steps that are needed in order to analyze, design and implement Monte Carlo applications. It discusses the financial theory as well as the mathematical and numerical background that is needed to write flexible and efficient C++ code using state-of-the art design and system patterns, object-oriented and generic programming models in combination with standard libraries and tools.   Includes a CD containing the source code for all examples. It is strongly advised that you experiment with the code by compiling it and extending it to suit your needs. Support is offered via a user forum on www.datasimfinancial.com where you can post queries and communicate with other purchasers of the book.   This book is for those professionals who design and develop models in computational finance. This book assumes that you have a working knowledge of C ++.