9781441928528-1441928529-Methods of Mathematical Finance (Stochastic Modelling and Applied Probability)

Methods of Mathematical Finance (Stochastic Modelling and Applied Probability)

ISBN-13: 9781441928528
ISBN-10: 1441928529
Author: Ioannis Karatzas
Publication date: 2010
Publisher: Springer
Format: Paperback 430 pages
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Book details

ISBN-13: 9781441928528
ISBN-10: 1441928529
Author: Ioannis Karatzas
Publication date: 2010
Publisher: Springer
Format: Paperback 430 pages

Summary

Methods of Mathematical Finance (Stochastic Modelling and Applied Probability) (ISBN-13: 9781441928528 and ISBN-10: 1441928529), written by authors Ioannis Karatzas, was published by Springer in 2010. With an overall rating of 4.3 stars, it's a notable title among other books. You can easily purchase or rent Methods of Mathematical Finance (Stochastic Modelling and Applied Probability) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.51.

Description

This sequel to Brownian Motion and Stochastic Calculus by the same authors develops contingent claim pricing and optimal consumption/investment in both complete and incomplete markets, within the context of Brownian-motion-driven asset prices. The latter topic is extended to a study of equilibrium, providing conditions for existence and uniqueness of market prices which support trading by several heterogeneous agents. Although much of the incomplete-market material is available in research papers, these topics are treated for the first time in a unified manner. The book contains an extensive set of references and notes describing the field, including topics not treated in the book. This book will be of interest to researchers wishing to see advanced mathematics applied to finance. The material on optimal consumption and investment, leading to equilibrium, is addressed to the theoretical finance community. The chapters on contingent claim valuation present techniques of practical importance, especially for pricing exotic options.

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