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Nº de artículo:
11696967
An Introduction to Quantitative Finance
Nº de artículo:
11696967
COP 307355
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The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types, whether for general interest or because of the enormous monetary rewards on offer.
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What Stands Out
Comprehensive Coverage
This book provides a thorough introduction to quantitative finance concepts, making it ideal for beginners and seasoned professionals looking to refresh their knowledge in financial modeling and risk management.
Practical Examples
Filled with real-world applications and case studies, the text effectively bridges theory and practice, enabling readers to grasp complex quantitative techniques applicable to today's financial markets.
Clear Explanations
The author simplifies intricate mathematical concepts through clear language and visuals, ensuring accessibility for readers without extensive mathematical backgrounds, thus broadening its appeal to a wider audience.
Detalles de producto
- Written by Stephen Blyth, Professor of the Practice of Statistics and Managing Director of Harvard Management Company
- Offers a refreshing approach to old results in the post-crisis world
- Provides insights into issues facing practitioners in applied quantitative finance and derivative markets
- Author has extensive experience in the finance industry, having worked at Deutsche Bank and Morgan Stanley
- Frequent speaker at international finance conferences
- Hold a PhD in Statistics from Harvard University and an MA in Mathematics from Christ's College, Cambridge University
| Publisher | Oxford University Press |
| Publication date | December 1, 2013 |
| Edition | First Edition |
| Language | English |
| Print length | 175 pages |
| ISBN-10 | 0199666598 |
| ISBN-13 | 978-0199666591 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 9.1 x 6.1 x 0.6 inches (23.1 x 15.5 x 1.5 cm) |
Who Should Buy?
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Finance Students
Ideal for undergraduate and graduate students seeking foundational knowledge in quantitative finance methodologies.
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Professionals Transitioning
A great resource for finance professionals looking to transition into roles involving quantitative analysis and financial modeling.
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Self-Learners
Beneficial for individuals interested in self-study to understand financial principles through mathematical and statistical approaches.
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Complete Beginners
Not suitable for those without any prior knowledge of finance or mathematics, as it requires some background understanding.
DESCRIPCIÓN DEL PRODUCTO
An Introduction to Quantitative Finance
About This Item
Enhance your understanding of quantitative finance with "An Introduction to Quantitative Finance 1st Edition." This comprehensive textbook written by Stephen Blyth, an esteemed professor and managing director at Harvard University, provides a thorough exploration of the field. Whether you're a finance student or a professional looking to expand your knowledge, this book serves as a valuable resource. Blyth's refreshing approach to old results offers a template for the future, making it a must-have for those interested in the post-crisis world of finance. As a Professor of the Practice of Statistics, Blyth brings a unique perspective to the subject matter. His extensive experience in applied quantitative finance and derivative markets is reflected in the content of the book, making it highly relevant to practitioners in the field. Covering a wide range of topics, this textbook delves into the basics of quantitative finance, including market analysis, trading strategies, and risk management.
It explores mathematical models and econometrics used in quantitative finance, as well as asset and option pricing. What sets this book apart is its emphasis on practical application. Blyth provides real-world examples and case studies, illustrating how quantitative finance concepts are applied in practice. This approach not only aids in understanding complex theories but also equips readers with the skills necessary to excel in quantitative finance careers. Whether you're interested in pursuing a degree in quantitative finance or seeking to enhance your existing knowledge, "An Introduction to Quantitative Finance 1st Edition" provides the essential foundation.
Order your copy today and embark on a journey into the exciting world of quantitative finance.
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Applied Editorial Review
The "An Introduction to Quantitative Finance 1st Edition" is a well-structured, clearly written book that is useful for financial students and is also reasonably priced. The book is very compact and offers a good feel for the theory of valuing derivatives. The exercises are well thought out with a good mix of computational ones, but also many that require more careful thought. However, some readers think that the book does not have much practical use and that most of its content is readily available online for free. Additionally, the Kindle version of the book may have formatting issues, so it might be better to opt for the paperback version.
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ventajas
- Affordable price
- Well-structured
- Clear writing
- Compact book
- Provides a good feel for the theory of valuing derivatives
- Well-thought-out exercises
Contras
- Not much practical use
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COP 307355
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características y beneficios
- An Introduction to Quantitative Finance is a book on financial derivatives and the probabilistic tools developed to analyze them.
- The text is motivated by the author's experience trading derivatives on Wall Street, offering an unusual blend of real-world trading experience and rigorous academic background.
- Probability provides key tools for analyzing and valuing derivatives - the price of a derivative is closely linked to the expected value of its payout.
- The book is self-contained and suitable for a one-semester course, requiring only an introductory undergraduate course in probability.
- The text provides signposts for more advanced topics and different approaches for those looking to take the subject further.
- The book may appeal to students who have enjoyed probability and have a desire to see how it can be applied.
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