Synopses & Reviews
A graduate-course text, written for readers familiar with measure-theoretic probability and discrete-time processes, wishing to explore stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus is developed, illustrated by results concerning representations of martingales and change of measure on Wiener space, which in turn permit a presentation of recent advances in financial economics. The book contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The whole is backed by a large number of problems and exercises.
Review
Second Edition I. Karatzas and S.E. Shreve Brownian Motion and Stochastic Calculus "A valuable book for every graduate student studying stochastic process, and for those who are interested in pure and applied probability. The authors have done a good job."--MATHEMATICAL REVIEWS
Review
I should like to note that it was a great pleasure for me to read this book and to write the present review. In my opinion, this book will be used by a wide circle of readers. Two are the main reasons for such an opinion: (I) the comprehensive and updated presentation of all the essential results concerning stochastic calculus and their applications; (II) the consecutive and master style of presentation. Thus, the book, as an important recent publication, can be strongly recommended to any reader learning or teaching stochastics, or working in this field. ZENTRALBLATT MATH
Review
Second Edition
I. Karatzas and S.E. Shreve
Brownian Motion and Stochastic Calculus
"A valuable book for every graduate student studying stochastic process, and for those who are interested in pure and applied probability. The authors have done a good job."--MATHEMATICAL REVIEWS
Synopsis
This book is designed as a text for graduate courses in stochastic processes. It is written for readers familiar with measure-theoretic probability and discrete-time processes who wish to explore stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus is developed. The power of this calculus is illustrated by results concerning representations of martingales and change of measure on Wiener space, and these in turn permit a presentation of recent advances in financial economics (option pricing and consumption/investment optimization).
This book contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The text is complemented by a large number of problems and exercises.
Synopsis
This book is designed as a text for graduate courses in stochastic processes. It contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The text is complemented by a large number of problems and exercises.
Table of Contents
Martingales, Stopping Times, and Filtrations.- Brownian Motion.- Stochastic Integration.- Brownian Motion and Partial Differential Equations.- Stochastic Differential Equations.- Lévy's Theory of Brownian Local Time.