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Item #:
19043948
Solutions Manual - A Linear Algebra Primer for Financial Engineering (Financial Engineering Advanced Background Series)
Item #:
19043948
ZAR 1070
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Opportunity for rigorous self-study for better understanding of financial engineering applications and linear algebra concepts
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What Stands Out
Comprehensive Guidance
Offers detailed solutions and explanations for complex linear algebra problems, catering to students in financial engineering, ensuring a deeper understanding of essential mathematical concepts.
Targeted Learning
Specifically designed for financial engineering courses, addressing real-world applications of linear algebra, which helps bridge the gap between theoretical knowledge and practical expertise.
Enhanced Clarity
Provides clear, step-by-step solutions that simplify challenging topics, making it easier for students to grasp concepts and boost confidence in their problem-solving abilities.
Product Details
- Detailed solutions for every exercise in the book
- Opportunity for rigorous self-study of linear algebra concepts
- Deeper understanding of financial engineering applications
- Includes financial applications such as market models and portfolio management
- Covers topics like LU and Cholesky decompositions, linear regression, and interpolation
- Multivariate normal random variables included
| Publisher | FE Press, LLC |
| Publication date | August 22, 2016 |
| Language | English |
| Print length | 280 pages |
| ISBN-10 | 0979757665 |
| ISBN-13 | 978-0979757662 |
| Item Weight | 14.4 ounces (408.24 grams) |
| Dimensions | 6 x 0.64 x 9 inches (15.2 x 1.6 x 22.9 cm) |
| Book 4 of 4 | Financial Engineering Advanced Background Series |
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Who Should Buy?
-
Graduate Students
Ideal for graduate students specializing in financial engineering or applying linear algebra in their studies.
-
Finance Professionals
Useful for finance professionals looking to strengthen their quantitative skills and understanding of linear algebra applications.
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Educators
Helpful for educators seeking supplemental materials for teaching linear algebra in finance-related courses.
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Beginners
Not suitable for individuals with no prior knowledge of linear algebra, as foundational concepts are assumed.
Product Description
Solutions Manual - A Linear Algebra Primer for Financial Engineering (Financial Engineering Advanced Background Series)
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Financial Engineering Editorial Review
The Solutions Manual - A Linear Algebra Primer for Financial Engineering Financial Engineering Advanced Background Series Volume 4 is a reference book designed to help students to hone their skills and techniques in the complex world of financial engineering. The material in the book is presented in a clear and concise manner, making it easy and understandable to follow. The author also uses real-life examples, which is an excellent way to understand the practical applications of linear algebra in finance. The book is well-structured, beginning with the fundamentals of linear algebra and progressing to more advanced applications. Each chapter ends with a set of exercises that allow the reader to practice and enhance their knowledge. The Solutions Manual is also included, providing answers to all the exercises, making it easy for students to check their work and ensure their understanding. Overall, the Solutions Manual - A Linear Algebra Primer for Financial Engineering Financial Engineering Advanced Background Series Volume 4 is an excellent resource for students studying financial engineering. It provides a comprehensive overview of linear algebra and its application in finance, and the inclusion of the Solutions Manual is an added bonus.
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Pros
- Clear and concise presentation of material
- Real-life examples used to demonstrate practical applications of linear algebra in finance
- Well-structured with exercises at the end of each chapter
- Solutions Manual included for easy checking of work
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Features & Benefits
- Solutions Manual for A Linear Algebra Primer for Financial Engineering offers detailed solutions
- Allows for rigorous self-study of linear algebra and financial engineering concepts
- Covers financial applications including value at risk and portfolio VaR
- Linear algebra topics include LU and Cholesky decompositions and linear solvers
- Provides insight into multivariate normal random variables and optimal solvers for matrices
- Efficient cubic spline interpolation techniques are explained
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