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Introduction to Stochastic Finance with Market Examples

Nicolas Privault (Nanyang Technological University, Singapore)

$194

Hardback

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English
Chapman & Hall/CRC
13 December 2022
Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous-time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance, covering the basics of stochastic calculus for finance, and details the techniques required to model the time evolution of risky assets. The book discusses a wide range of classical topics including Black–Scholes pricing, American options, derivatives, term structure modeling, and change of numéraire. It also builds up to special topics, such as exotic options, stochastic volatility, and jump processes.

New to this Edition

New chapters on Barrier Options, Lookback Options, Asian Options, Optimal Stopping Theorem, and Stochastic Volatility Contains over 235 exercises and 16 problems with complete solutions available online from the instructor resources Added over 150 graphs and figures, for more than 250 in total, to optimize presentation

57 R coding examples now integrated into the book for implementation of the methods

Substantially class-tested, so ideal for course use or self-study

With abundant exercises, problems with complete solutions, graphs and figures, and R coding examples, the book is primarily aimed at advanced undergraduate and graduate students in applied mathematics, financial engineering, and economics. It could be used as a course text or for self-study and would also be a comprehensive and accessible reference for researchers and practitioners in the field.

By:  
Imprint:   Chapman & Hall/CRC
Country of Publication:   United Kingdom
Edition:   2nd edition
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   566g
ISBN:   9781032288260
ISBN 10:   1032288264
Series:   Chapman and Hall/CRC Financial Mathematics Series
Pages:   652
Publication Date:  
Audience:   College/higher education ,  Further / Higher Education ,  A / AS level
Format:   Hardback
Publisher's Status:   Active

Nicolas Privault received a PhD degree from the University of Paris VI, France. He was with the University of Evry, France, the University of La Rochelle, France, and the University of Poitiers, France. He is currently a Professor with the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore. His research interests are in the areas of stochastic analysis and its applications.

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