About this product: 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 markets
Commodity price and volume risk
Stochastic modelling of commodity spot prices and forward curves
Real options valuation and hedging of physical assets in the energy industry
It 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
About this product: The book is a step-by-step guide to derivative products. By distilling the complex mathematics and theory that underlie the subject, Chisholm explains derivative products in straightforward terms, focusing on applications and intuitive explanations wherever possible. Case studies and examples of how the products are used to solve real-world problems, as well as an extensive glossary and material on the latest derivative products make this book a must have for anyone working with derivative products.
About this product: Newly updated second edition and now in paperback! This is the first book on implementing financial models using object-oriented C++. Assuming only a basic knowledge of C++ and mathematical finance, the reader learns how to produce well-designed, structured, reusable code via carefully-chosen examples. This new edition includes several new chapters covering topics of increasing robustness in the presence of exceptions, designing a generic factory, interfacing C++ with EXCEL, and improving code design using the idea of decoupling. Complete ANSI/ISO compatible C++ source code is hosted on an accompanying website for the reader to study in detail, and reuse as they see fit. Whether you are a student of financial mathematics, a working quantitative analyst or financial mathematician, you need this book. Offering practical steps for implementing pricing models for complex financial products, it will transform your understanding of how to use C++.
About this product: The credit risk market is the fastest growing financial market in the world, attracting everyone from hedge funds to banks and insurance companies. Increasingly, professionals in corporate finance need to understand the workings of the credit risk market in order to successfully manage risk in their own organizations; in addition, some wish to move into the field on a full-time basis. Most books in the field, however, are either too academic for working professionals, or written for those who already possess extensive experience in the area. Credit Derivatives fills the gap, explaining the credit risk market clearly and simply, in language any working financial professional can understand. Harvard Business School faculty member George C. Chacko and his colleagues begin by explaining the underlying principles surrounding credit risk. Next, they systematically present today's leading methods and instruments for managing it. The authors introduce total return swaps, credit spread options, credit linked notes, and other instruments, demonstrating how each of them can be used to isolate risk and sell it to someone willing to accept it.
About this product: Mortgage credit derivatives are a risky business, especially of late. Written by an expert author team of UBS practitioners-Laurie Goodman, Shumin Li, Douglas Lucas, and Thomas Zimmerman-along with Frank Fabozzi of Yale University, Subprime Mortgage Credit Derivatives covers state-of-the-art instruments and strategies for managing a portfolio of mortgage credits in today's volatile climate.
Divided into four parts, this book addresses a variety of important topics, including mortgage credit (non-agency, first and second lien), mortgage securitizations (alternate structures and subprime triggers), credit default swaps on mortgage securities (ABX, cash synthetic relationships, CDO credit default swaps), and much more. In addition, the authors outline the origins of the subprime crisis, showing how during the 2004-2006 period, as housing became less affordable, origination standards were stretched-and when home price appreciation then turned to home price depreciation, defaults and delinquencies rose across the board.
The recent growth in subprime lending, along with a number of other industry factors, has made the demand for timely knowledge and solutions greater than ever before, and this guide contains the information financial professionals need to succeed in this challenging field.
About this product: In an approachable, non-technical manner, Risk Takersbrings eight modern financial derivatives situations to life, fully exploring the context of each event and evaluating the outcomes. Primer on Derivatives; Employee Stock Options: What Every MBA Student Should Know; Roche Holding: The Company, Its Financial Strategy, and Bull Spread Warrants; Metallgesellschaft AG: Illusion of Profits and Losses; Reality of Cash Flows; Swaps That Shook an Industry: Procter & Gamble versus Bankers Trust; Orange County: The Largest Municipal Failure in U.S. History; Barings Bank PLC: Leeson’s Lessons; Long Term Capital Mismanagement: “JM & The Arb Boys”; Amaranth Advisors LLC: Using Natural Gas Futures to Bet on the Weather. For all readers interested in financial derivatives, options, futures, and risk management.
About this product: It's definitely easier to learn from the book by having the solutions to the end of chapter questions, however, as a whole I was not impressed with this solutions book. A lot of the problem is from the end of the chapter questions though. Many of the questions are "verify this.." or "show this equation in chapter is right..." so not exactly user-friendly learning tools. In addition, for many questions I found the solution book would just show a graph and not necessarily explain how they got the answer. I'm still glad I got it though as any supplement to chapter material is beneficial.
This book aims at a middle ground between the introductory books on derivative securities and those that provide advanced mathematical treatments. It is written for mathematically capable students who have not necessarily had prior exposure to probability theory, stochastic calculus, or computer programming. It provides derivations of pricing and hedging formulas (using the probabilistic change of numeraire technique) for standard options, exchange options, options on forwards and futures, quanto options, exotic options, caps, floors and swaptions, as well as VBA code implementing the formulas. It also contains an introduction to Monte Carlo, binomial models, and finite-difference methods.
About this product: Here is the first rigorous and accessible account of the mathematics behind the pricing, construction, and hedging of derivative securities. With mathematical precision and in a style tailored for market practioners, the authors describe key concepts such as martingales, change of measure, and the Heath-Jarrow-Morton model. Starting from discrete-time hedging on binary trees, the authors develop continuous-time stock models (including the Black-Scholes method). They stress practicalities including examples from stock, currency and interest rate markets, all accompanied by graphical illustrations with realistic data. The authors provide a full glossary of probabilistic and financial terms.