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An Introduction to Quantitative Finance
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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
Produkta informācija
- Covers financial derivatives and the probabilistic tools used to analyze them
- Motivated by real-world derivatives trading experience and rigorous academic background
- Key tools for analyzing and valuing derivatives are provided through probability theory
- Suitable for those with an introductory undergraduate course in probability
- Can be used for a one-semester course, offering exposure to powerful theory and substantive problems
- Includes signposts to more advanced topics and different approaches for further study
| 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.
PRODUKTA APRAKSTS
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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Funkcijas un priekšrocības
- 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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