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Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance)
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A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions.
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Product Details
| Publisher | Springer |
| Publication date | 1 Dec. 2010 |
| Edition | Softcover reprint of the original 1st ed. 2004 |
| Language | English |
| Print length | 569 pages |
| ISBN-10 | 144192311X |
| ISBN-13 | 978-1441923110 |
| Item weight | 816 g |
| Dimensions | 15.49 x 3.28 x 23.5 cm |
| Part of series | Springer Finance |
Who Should Buy?
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Graduate Students
Ideal for graduate students seeking in-depth understanding of stochastic calculus applied to finance and continuous-time models.
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Finance Professionals
Finance professionals looking to enhance their quantitative skills for complex modeling in risk management and derivatives.
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Academic Researchers
Academic researchers needing a comprehensive resource for stochastic calculus concepts in their studies or publications.
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Casual Readers
Not suitable for casual readers as it requires a strong mathematical and financial background for comprehension.
Product Description
Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance)
About This Item
Product Description: If you are looking to dive deeper into the world of finance and expand your knowledge of stochastic calculus and continuous-time models, then "Stochastic Calculus for Finance II: Continuous-Time Models" is the perfect book for you. This comprehensive and insightful book, part of the Springer Finance series, offers a deep understanding of stochastic calculus and its applications in the field of finance. Whether you are a seasoned professional or a student looking to enhance your understanding of financial mathematics, this book is a valuable resource. The book covers a wide range of topics, including stochastic processes, options pricing models, financial derivatives, and quantitative finance. It provides a rigorous mathematical foundation while also providing practical insights and real-life examples.
The author, a renowned expert in the field, explains complex concepts in a clear and concise manner, making it accessible to readers with varying levels of mathematical background. With "Stochastic Calculus for Finance II: Continuous-Time Models," you will gain a solid understanding of the theories and models that drive financial markets. You will also learn how to apply stochastic calculus to solve real-world problems and make sound financial decisions. Whether you are a student, an academic researcher, or a finance professional, this book is an invaluable addition to your library. It will serve as a comprehensive reference guide and a source of inspiration for years to come. Invest in your financial knowledge today and purchase "Stochastic Calculus for Finance II: Continuous-Time Models" from Ubuy.
Take your understanding of stochastic calculus and continuous-time models to new heights and gain a competitive edge in the world of finance.
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Higher Education Editorial Review
Stochastic Calculus For Finance II Continuous-Time Models Springer Finance is a comprehensive resource, published by Springer on December 1, 2010, and spans 569 pages, offering a solid foundation in stochastic processes for finance enthusiasts. Reviewers have praised its logical structure and clear explanations, making it suitable for students with varying levels of knowledge, although beginners might find it a bit challenging. Key chapters cover principles such as Brownian motion, Stochastic Calculus, and Risk-Neutral Pricing, with a well-structured approach that builds concepts progressively. This book, complementary to Björk's, is particularly valued for self-study thanks to its accessible writing style and thoroughness.
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Pros
- Comprehensive and thorough explanations
- Great for self-study and preparation
- Logical structure aids understanding
- Less technical than similar texts
- Valuable reference for finance students
Cons
- Not ideal for complete beginners
Product Price History
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Features & Benefits
- Treats the key classical models of finance through an applied probability approach
- Well-written text
- Excellent introduction to mathematics of classical theory of finance
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