Belal Ehsan Baaquie
Mathematical Methods and Quantum Mathematics for Economics and Finance
Mathematical Methods and Quantum Mathematics for Economics and Finance
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Excellent- More about Mathematical Methods and Quantum Mathematics for Economics and Finance
This book provides an introductory text on mathematical methods for graduate students of economics and finance, covering linear algebra, calculus, probability theory, and stochastic calculus. It also includes a problem set and addresses quantum mathematics, including Black-Scholes option theory and Merton's theory of corporate debt.
Format: Paperback / softback
Length: 432 pages
Publication date: 12 August 2021
Publisher: Springer Verlag, Singapore
The demand for a comprehensive and timely introduction to mathematical methods in economics and finance has surged due to the rapid advancements in these fields. This book serves as a foundational text for graduate students, particularly those pursuing careers in quantitative finance, providing a comprehensive overview of mathematical techniques.
Divided into five major sections, the content covers mathematical methods from linear algebra and calculus to probability theory and stochastic calculus. Detailed derivations of the Black-Scholes and Merton equations are provided to elucidate the mathematical foundations of stochastic calculus. Each chapter includes a problem set, primarily drawn from economics and finance, to reinforce understanding and application of the concepts.
Section five delves into the realm of quantum mathematics, where the mathematical topics covered in the previous sections form the basis for analyzing topics such as Black-Scholes option theory and Merton's theory of corporate debt. This section highlights the interdisciplinary nature of mathematics and its applications in various fields.
In conclusion, this book is an essential resource for graduate students seeking to excel in economics and finance, providing a solid foundation in mathematical methods and paving the way for advanced studies in quantum mathematics. Its concise and accessible style makes it suitable for self-study or as a textbook in undergraduate and graduate courses.
Weight: 694g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811566134
Edition number: 1st ed. 2020
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