Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance),New

Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance),New

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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 calculusbased 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 selfcontained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jumpdiffusion processes.This book is being published in two volumes. The first volume presents the binomial assetpricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuoustime 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 CoFounder 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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Frequently Asked Questions

  • Q: What is the main focus of 'Stochastic Calculus for Finance I'? A: The book primarily focuses on the binomial asset pricing model, serving as a foundational introduction to concepts in stochastic calculus necessary for continuous-time financial theories.
  • Q: Who is the author of this book? A: The author of 'Stochastic Calculus for Finance I' is Steven E. Shreve, a co-founder of the Carnegie Mellon MS Program in Computational Finance.
  • Q: What is the educational background required to understand this book? A: A solid understanding of calculus and calculus-based probability is recommended for readers, particularly advanced undergraduates and master's level students in mathematical finance.
  • Q: Does this book include practical exercises? A: Yes, the book includes classroom-tested exercises at the end of each chapter, designed to reinforce the theoretical concepts and apply them to practical problems in quantitative finance.
  • Q: Is the content of this book suitable for self-study? A: Yes, the book provides intuitive explanations and a self-contained treatment of necessary probability theory, making it suitable for self-study by motivated learners.
  • Q: How is the book structured in terms of chapters? A: The book is structured with chapter summaries, illustrations, and exercises, concluding with practical applications to enhance understanding of the material.
  • Q: What advanced topics does the book cover? A: Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes, building on the foundational knowledge presented.
  • Q: When was this book published? A: The first edition of 'Stochastic Calculus for Finance I' was published on April 21, 2004.
  • Q: What is the physical format of the book? A: The book is available in a paperback binding, making it accessible for readers who prefer physical copies.
  • Q: How many pages does the book have? A: The book contains a total of 202 pages.