Title
Stochastic Calculus For Finance I: The Binomial Asset Pricing Model (Springer Finance)
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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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- Q: How many pages does this book have? A: This book has two hundred two pages. It covers a range of topics in stochastic calculus and finance.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and easy to carry.
- Q: What are the dimensions of this book? A: The dimensions are five point nine eight inches in length, zero point two four inches in width, and nine point zero two inches in height.
- Q: What is the main topic of this book? A: The main topic is stochastic calculus in finance. It focuses on the binomial asset pricing model.
- Q: Who is the author of this book? A: The author is Steven E. Shreve. He is a co-founder of the Carnegie Mellon program in Computational Finance.
- Q: Is this book suitable for beginners? A: Yes, it is suitable for advanced undergraduates and Masters level students. It is designed for those with a calculus and probability background.
- Q: Does this book include exercises? A: Yes, there are classroom tested exercises at the end of each chapter. These exercises help reinforce the concepts covered.
- Q: What kind of illustrations are included in this book? A: The book includes detailed illustrations that enhance understanding of the material. These visuals help clarify complex ideas.
- Q: Is this book part of a series? A: Yes, this book is part of a two-volume series. It serves as an introduction to continuous-time theory in the second volume.
- Q: Are there summaries at the end of each chapter? A: Yes, there are chapter summaries included. These summaries help students review key concepts.
- Q: What is the focus of the advanced topics in this book? A: The advanced topics focus on foreign exchange models, forward measures, and jump-diffusion processes. These are crucial for understanding modern finance.
- Q: Can this book help with practical problems in finance? A: Yes, it contains exercises drawn from practical problems in quantitative finance. This makes it relevant for real-world applications.
- Q: Is this book a good resource for financial engineering? A: Yes, it is a valuable resource for students in financial engineering. It provides a solid foundation in stochastic calculus.
- Q: What educational background is required to understand this book? A: A background in calculus and calculus-based probability is required. This ensures readers can grasp the complex topics presented.
- Q: Is there a focus on intuitive explanations in this book? A: Yes, the book emphasizes intuitive explanations. These explanations are developed from classroom experience with the material.