Stochastic Calculus for Finance 1 Steven E. Shreve is available to download
|Stochastic Calculus for Finance 1|
Steven E.Stochastic Calculus for Finance ... Textbook Shreve
|Type: ||eBook |
|Released: ||2004 |
|Publisher: ||Springer |
|Page Count: ||200 |
|Format: ||djvu |
|Language: ||English |
|ISBN-10: ||0387401008 |
|ISBN-13: ||9780387401003 |
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 detailed depth. Probability is covered in detail using the binomial model.
The book will be suitable for advanced undergraduate courses and beginning masters-level students in mathematical finance and financial engineering. There are exercises and examples throughout and summaries at the end of each chapter.
From the Back Cover
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 stchastic 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. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume. Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance. Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful. 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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