The prolonged boom in the US and European stock markets has led to increased interest in the mathematics of security markets, most notably in the theory of stochastic integration. This text gives a rigorous development of the theory of stochastic integration as it applies to the valuation of deriva
Stochastic calculus for finance II: Continuous-time models
β Scribed by Steven E. Shreve
- Book ID
- 127426219
- Publisher
- Springer
- Year
- 2004
- Tongue
- English
- Weight
- 4 MB
- Series
- Springer Finance
- Edition
- 1st ed. 2004. Corr. 2nd printing
- Category
- Library
- ISBN
- 0387401016
No coin nor oath required. For personal study only.
β¦ Synopsis
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.
This book is being published in two volumes. This second volume develops stochastic calculus, martingales, risk-neutral pricing, exotic options and term structure models, all in continuous time.
Master's level students and researchers in mathematical finance and financial engineering will find this book useful.
π SIMILAR VOLUMES
This book evolved from the first ten years of the Carnegie Mellon professional Master's program in Computational Finance. The contents of the book have been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise s
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text
This is the first volume in a two volume sequence providing the foundational material on Stochastic calculus models in finance. This first volume is suitable for discrete-time finance. The only pre-requisite is standard calculus; may aspects such as martingales and change of measure are treated in d