Mathematical Finance Core Theory Problems And Statistical Algorithms(1st Edition)

Authors:

Nikolai Dokuchaev

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 1 Left

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Book details

ISBN: 0415414482, 978-0415414487

Book publisher: Routledge

Customer Reviews

Trusted feedback from verified buyers

CM
Chloe Mills
4.0
A very helpful guide for those entering the world of mathematical finance. The balance of theory and practice really stood out. The examples are practical and help cement the theoretical concepts. My only minor gripe is that some of the sections could have used a bit more detailed explanation, but overall, it's a solid book. The delivery was prompt too, arriving well ahead of schedule. A worthwhile purchase for anyone needing a comprehensive resource in this field.
IP
Ian Pearson
5.0
This book was an absolute lifesaver for my advanced finance course. The way it breaks down complex mathematical finance concepts with clear explanations and detailed examples is simply outstanding. I was worried I wouldn't grasp the probability theories covered in my syllabus, but this book made it all manageable and even exciting! Plus, it arrived quicker than I expected, securely packaged by the retailer. Definitely a must-have for anyone serious about understanding mathematical finance.
CS
Clara Spencer
5.0
As someone venturing into the field of financial engineering, I found this book to be an excellent resource. The explanations are clear, and the statistical algorithms are presented in a way that is accessible, even for those who may not have a strong math background. It provides a deep dive into core theories while offering practical insights. I got an extra discount with my subscription, making this purchase even sweeter! Highly recommended for students and professionals alike.
GH
Georgia Holt
3.0
Math heavy but informative!
GM
Geoffrey Maxwell
4.0
This book provides a solid balance between theory and its practical applications in mathematical finance. The content is thorough and well-organized, though at times, I felt that some topics assumed a bit higher level of prior knowledge. However, the statistical algorithms section was particularly well done. Also, I was pleased with the packaging; the book arrived unscathed and on time. A very helpful text for intermediate level readers.