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Brownian Motion and Stochastic Calculus

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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.

Συγγραφείς: Karatzas Ioannis, Shreve Steven
Εκδότης: SPRINGER
Σελίδες: 493
ISBN: 9780387976556
Εξώφυλλο: Μαλακό Εξώφυλλο
Αριθμός Έκδοσης: 2
Έτος έκδοσης: 1991

Departments of Mathematics and Statistics, Columbia University, New York, USA

Department of Mathematical Sciences, Carnegie Mellon University, Pittsburgh, USA. Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.

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