This book offers a complete, succinct account of the principles of financial derivatives pricing. The first chapter provides readers with an intuitive exposition of basic random calculus. Concepts such as volatility and time, random walks, geometric Brownian motion, and Ito's lemma are discussed heuristically. The second chapter develops generic pricing techniques for assets and derivatives, determining the notion of a stochastic discount factor or pricing kernel, and then uses this concept to price conventional and exotic derivatives. The third chapter applies the pricing concepts to the special case of interest rate markets, namely, bonds and swaps, and discusses factor models and term structure consistent models. The fourth chapter deals with a variety of mathematical topics that underlie derivatives pricing and portfolio allocation decisions such as mean-reverting processes and jump processes and discusses related tools of stochastic calculus such as Kolmogorov equations, martingale techniques, stochastic control, and partial differential equations.
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Jamil Baz is the chief investment strategist of GLG, a London-based hedge fund. Prior to holding this position, he was a portfolio manager with PIMCO in London, a managing director in the Proprietary Trading Group of Goldman Sachs, chief investment strategist of Deutsche Bank, and executive director of Lehman Brothers fixed income research division. Dr Baz teaches financial economics at Oxford University. He has degrees from the London School of Economics (M.Sc.), MIT (S.M.), and Harvard University (A.M., Ph.D.).
Professor George Chacko has split his time between the academic and commercial worlds during his career. His past commercial experience has included work at Accenture and Prudential Investments. Most recently, he was a managing director heading fixed income sales and trading at State Street Bank, a managing director in pension asset management at IFL, and the chief investment officer of Auda Alternative Investments. He has co-founded and sold three financial services businesses over his career. He is currently the managing partner of Confluentis Investments. His past academic experience has been at Harvard Business School, where he served as a professor in the finance department for ten years. He also served as a visiting professor at the Indian School of Business. He is currently a professor in the finance department at Santa Clara University. His research interests have been in the areas of fixed income and derivatives research, portfolio choice and construction, and the microstructure of financial markets. He has a BS from MIT in Electrical Engineering, an MBA from the University of Chicago, and an MA and PhD from Harvard University in Business Economics.
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Hardcover. Etat : Very Good. Immediate dispatch from Somerset. Nice book in great condition. Pages in excellent condition. Pages in unused condition. Hardcover. English. Pub Year 2004, See images for condition. About the book >.>.> Financial Derivatives: Pricing, Applications, and Mathematics by Jamil Baz provides a concise exploration of the principles underlying financial derivatives pricing. The initial chapter introduces readers to fundamental concepts in random calculus, covering topics such as volatility, time, random walks, geometric Brownian motion, and Ité's lemma through an intuitive lens. This foundational knowledge sets the stage for the subsequent chapters.In the second chapter, Baz elaborates on generic pricing techniques applicable to both assets and derivatives, focusing on the stochastic discount factor, also known as the pricing kernel. This critical concept is then utilised to effectively price both conventional and exotic derivatives, showcasing its versatility in various financial contexts. The third chapter narrows the scope to interest rate markets, specifically bonds and swaps, where Baz discusses factor models and term-structure-consistent models, providing insights into the unique pricing dynamics within this segment of the market.The fourth chapter delves into the mathematical underpinnings of derivatives pricing and portfolio allocation. It covers various mathematical topics, including mean-reverting processes, jump processes, and essential tools from stochastic calculus such as Kolmogorov equations, martingales, stochastic control, and partial differential equations. This comprehensive framework not only enhances the reader?s understanding of pricing mechanics but also prepares them to apply these models in real-world financial scenarios.Ultimately, Financial Derivatives serves as an essential resource for those seeking a systematic approach to understanding pricing methodologies and mathematical concepts integral to the field of financial derivatives. (SP). N° de réf. du vendeur Batch-FM773-VG-15360
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