Name: Stochastic Processes
ISBN: 978-3-642-08582-6

Overview

Authors:

Wolfgang Paul ,
Jörg Baschnagel

Wolfgang Paul

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Jörg Baschnagel

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This book has the potential to become a bestseller in finance mathematics
It is the first book presenting the basics and applications of stochastic processes governing the development of finance and stock markets

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Softcover Book USD 179.00

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Keywords

quantitative finance

About this book

This book presents an introduction to stochastic processes with applications from physics and finance. It introduces the basic notions of probability theory and the mathematics of stochastic processes. The applications that we discuss are chosen to show the interdisciplinary character of the concepts and methods, and are taken mainly from physics and finance. Due to its interdisciplinary character and choice of topics, the book can show students and researchers in physics how models and techniques used in their field can be translated into and applied in the field of finance and risk-management. On the other hand, a practitioner from the field of finance will find models and approaches recently developed in the emerging field of econophysics for understanding the stochastic price behavior of financial assets.

Reviews

From the reviews:

BULLETIN OF MATHEMATICS BOOKS

"While this book is oriented toward students of physics, it could well be appreciated by a wider mathematical audience…The text offers a rare opportunity to have a unified and modern treatment of stochastic processes in physics and finance."

Bibliographic Information

Book Title: Stochastic Processes
Book Subtitle: From Physics to Finance
Authors: Wolfgang Paul, Jörg Baschnagel
Publisher: Springer Berlin, Heidelberg
Copyright Information: Springer-Verlag Berlin Heidelberg 1999
Softcover ISBN: 978-3-642-08582-6Published: 15 December 2010
Edition Number: 1
Number of Pages: XIV, 232
Number of Illustrations: 36 b/w illustrations
Topics: Theoretical, Mathematical and Computational Physics, Economic Theory/Quantitative Economics/Mathematical Methods, Quantitative Finance, Operations Research/Decision Theory, Engineering, general, Mathematical and Computational Engineering

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Stochastic Processes