Ebook Mathematical Methods for Financial Markets (Springer Finance), by Monique Jeanblanc
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Mathematical Methods for Financial Markets (Springer Finance), by Monique Jeanblanc
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Mathematical finance has grown into a huge area of research which requires a large number of sophisticated mathematical tools. This book simultaneously introduces the financial methodology and the relevant mathematical tools in a style that is mathematically rigorous and yet accessible to practitioners and mathematicians alike. It interlaces financial concepts such as arbitrage opportunities, admissible strategies, contingent claims, option pricing and default risk with the mathematical theory of Brownian motion, diffusion processes, and Lévy processes. The first half of the book is devoted to continuous path processes whereas the second half deals with discontinuous processes.The extensive bibliography comprises a wealth of important references and the author index enables readers quickly to locate where the reference is cited within the book, making this volume an invaluable tool both for students and for those at the forefront of research and practice.
- Sales Rank: #2696729 in eBooks
- Published on: 2013-04-11
- Released on: 2013-04-11
- Format: Kindle eBook
Review
From the reviews:
“Mathematical Methods for Financial Markets provides a comprehensive overview of mathematical research inspired by financial markets, primarily derivative-securities markets. … Mathematicians interested in finance who are trained in the theory of stochastic processes can find much of interest here.” (John Curran, MAA Reviews, July, 2013)
“The goal of the authors is to present the financial methodology and the relevant tools from mathematical stochastics. … book is well structured and carefully written. The text is smooth and clear. … book should be read, used and referred to on any occasion. … a source of real intellectual pleasure and inspiration for further work. The book will be useful for a wide audience, from graduate and postgraduate students to researchers in stochastics and finance, as well as to applied scientists in other areas.” (Jordan M. Stoyanov, Zentralblatt MATH, Vol. 1205, 2011)
“The aim of this book is to explain the fundamental concepts of continuous-time finance … . This text presents an up-to-date account of the powerful interplay between the two areas, which is accessible yet mathematically rigorous. … This book is an accessible overview of the relevant sophisticated topics in the theory of processes, serves as an excellent guide through the literature and will doubtless become established as a standard work of reference for practitioners and researchers in the area of mathematical finance.” (Aleksandar Mijatović, Mathematical Reviews, Issue 2011 h)
“Mathematical Methods for Financial Markets succeeds to be both an excellent finance textbook and an excellent maths textbook. … the work examined here is an excellent reading, going well beyond the Hull, that should be advised to all serious students in quantitative finance, and perhaps to a few colleagues who would want to enlarge their filtration about this topic. This is a prodigious encyclopaedia designed by the best authors in the field.” (Olivier Le Courtois, Revue de l'Association Française de Finance, Vol. 31 (1), 2010)
From the Back Cover
Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. The subject draws upon quite difficult results from the theory of stochastic processes, stochastic calculus and differential equations, among others, which can be daunting for the beginning researcher.
This book simultaneously introduces the financial methodology and the relevant mathematical tools in a style that is mathematically rigorous and yet accessible to practitioners and mathematicians alike. It interlaces financial concepts such as arbitrage opportunities, admissible strategies, contingent claims, option pricing and default risk with the mathematical theory of Brownian motion, diffusion processes, and Lévy processes. The authors proceed by successive generalisations with increasing complexity assuming some basic knowledge of probability theory. The first half of the book is devoted to continuous path processes whereas the second half deals with discontinuous processes.
The extensive bibliography comprises a wealth of important references and the author index enables readers quickly to locate where the reference is cited within the book, making this volume an invaluable tool both for students and for those at the forefront of research and practice.
About the Author
Marc Yor is a Professor in the Laboratoire de Probabilites et Modeles Aleatoires at Universite Pierre et Marie Curie (Paris VI).
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