This new edition, completely up to date with new exercises, provides a comprehensive and self-contained treatment of the probabilistic theory behind the risk-neutral valuation principle and its application to the pricing and hedging of financial derivatives. On the probabilistic side, both discrete and continuous-time stochastic processes are treated, with special emphasis on Martingale theory, stochastic integration and change-of-measure techniques. Based on firm probabilistic foundations, general properties of discrete and continuous-time financial market models are discussed. Derivative Background 1. Probability Background 2.
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On the probabilistic side, both discrete- and continuous-time stochastic processes are treated, with special emphasis on martingale theory, stochastic integration and change-of-measure techniques. Jessa added it Nov 02, Goodreads helps you keep track of books bjngham want to read. This book is not yet featured on Listopia. There are no discussion topics on this book yet.
Based on a graduate course given to practitioners of Finance, the book identifies a clear gap in the market of Mathematical Finance. Authors of financial engineering texts face a quandary: Thanks for telling us about the problem. This second valuatiob — completely kiese, to date with new exercises — provides a comprehensive and self-contained treatment of the probabilistic theory behind the risk-neutral valuation principle and its application to the pricing and hedging of financial derivatives.
Based on firm probabilistic foundations, general properties of discrete- and continuous-time financial market models are discussed. Who is the book for? Um Ihnen ein besseres Nutzererlebnis zu bieten, verwenden wir Cookies. Lists with This Book. Bingham Springer Finance is a new programme of books aimed at students, academics and practitioners working on increasingly technical approaches to the analysis of financial markets.
Aashna Ghai marked it as to-read Nov 17, To see what your friends thought of this book, please sign up. It is easy to alienate readers by being too technical, but it is just as easy to write valuagion fluff book that communicates nothing of substance.
It provides a valuable introduction to Mathematical Finance for Graduate Students, and also comprehensive coverage of Financial subjects which should also stimulate practitioners of the subject. It is mathematically rigorous but with a practical, reader-oriented focus. Bruno added it Mar 29, Jordi Hendriks marked klesel as to-read Mar 06, Readers new to the subject will appreciate the introductory chapters that provide suitable coverage of rigorous probability theory, Lesbesgue integration, and measure theory.
Almost anyone who has a strong background in maths and wants a command of financial engineering theory. Results are expressed formally as mathematical theorems, bingnam the authors skip most proofs. Related Articles
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