Stochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and students who want an elementary introduction to these areas. From the reviews: "As the preface says, βThis is a text with an attitude, and it is designed to reflect, wherever possible a
Stochastic Calculus and Applications
β Scribed by R. Bauerschmidt, ed. Dexter Chua
- Publisher
- University of Cambridge
- Year
- 2018
- Tongue
- English
- Leaves
- 51
- Series
- Cambridge Mathematical Tripos Part III Lecture Notes
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Introduction
The LebesgueβStieltjes integral
Semi-martingales
Finite variation processes
Local martingale
Square integrable martingales
Quadratic variation
Covariation
Semi-martingale
The stochastic integral
Simple processes
Ito isometry
Extension to local martingales
Extension to semi-martingales
Ito formula
The LΓ©vy characterization
Girsanov's theorem
Stochastic differential equations
Existence and uniqueness of solutions
Examples of stochastic differential equations
Representations of solutions to PDEs
Index
β¦ Subjects
maths; mathematics; math; advanced; college; university; higher; further; pure; applied; stochastic processes
π SIMILAR VOLUMES
<p><p>Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and stochastic integrals as used by systems theorists, electronic engineers and, more recently, thos
The Wharton School course on which the book is based is designed for energetic students who have had some experience with probability and statistics, but who have not had advanced courses in stochastic processes. Even though the course assumes only a modest background, it moves quickly and - in the
The Wharton School course on which the book is based is designed for energetic students who have had some experience with probability and statistics, but who have not had advanced courses in stochastic processes. Even though the course assumes only a modest background, it moves quickly and - in the
<p>This book is designed for students who want to develop professional skill in stochastic calculus and its application to problems in finance. The Wharton School course that forms the basis for this book is designed for energetic students who have had some experience with probability and statistics