Item #:
44971855
Quantitative Finance
89% of respondents would recommend this to a friend
Item #:
44971855
UZS 2028786
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What Stands Out
Comprehensive Content
This edition covers foundational theories and advanced quantitative techniques, making it suitable for beginners and experienced professionals alike in the finance industry.
Practical Examples
Incorporates real-world applications and problem-solving exercises that enhance understanding, enabling users to apply concepts effectively in their financial analyses and decisions.
Expert Insights
Authored by industry professionals, the book offers unique perspectives and insider knowledge, providing readers with valuable guidance and enhancing their financial acumen.
Product Details
- Introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration
- Covers risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis
- Explains mortgages, bonds, and annuities using Excel simulation and difference equation or algebraic formalism
- Discusses interest rate markets, bond pricing, mean variance portfolio optimization, options, and value at risk (VaR)
- Includes chapters on binomial model tools, stochastic calculus, geometric Brownian motion, and options pricing
- Accessible to students with a modest level of mathematical background, with examples and spreadsheets available on the book’s web page
| Publisher | Chapman and Hall/CRC |
| Publication date | June 9, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 511 pages |
| ISBN-10 | 143987168X |
| ISBN-13 | 978-1439871683 |
| Item Weight | 1.9 pounds (860 grams) |
| Dimensions | 6.38 x 1.39 x 9.45 inches (16.2 x 3.5 x 24 cm) |
Who Should Buy?
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Finance Students
Ideal for undergraduate students majoring in finance, providing essential quantitative skills for their coursework and future careers.
-
Professional Analysts
Beneficial for financial analysts seeking to enhance their quantitative analysis capabilities and improve investment decision-making skills.
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Research Scholars
Suitable for researchers in finance who need a solid foundation in quantitative methods for their academic work and publications.
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Beginner Learners
Not ideal for absolute beginners in finance due to the advanced topics that may be challenging to comprehend.
Product Description
Quantitative Finance
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Applied Editorial Review
Quantitative Finance: A Simulation-Based Introduction Using Excel is an excellent book that provides a comprehensive introduction to quantitative finance. The author takes a step-by-step approach to introduce fundamental concepts and uses Microsoft Excel to clarify the concepts discussed. The book also includes an appendix to refresh probability theory basics and demonstrates the power of Visual Basic for Applications (VBA) in quantitative finance. The author's expertise in the fields of quantitative finance and applied mathematics greatly benefits the book. It is highly recommended for both newcomers and experienced researchers who want to refresh their knowledge on the topic. The exercises at the end of each chapter make it a suitable resource for postgraduate university courses. Overall, this book is a great introduction to quantitative finance, with practical examples and tutorials using Excel.
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Pros
- Step-by-step approach to introduce fundamental concepts
- Uses Microsoft Excel to clarify concepts
- Includes an appendix to refresh probability theory basics
- Demonstrates the power of Visual Basic for Applications (VBA)
- Written by an author with expertise in quantitative finance and applied mathematics
- Suitable for both newcomers and experienced researchers
- Includes exercises for practice
Cons
- No feedback about delivery and packaging available
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UZS 2028786
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Features & Benefits
- Introduction to financial mathematics
- Develop intuition about financial techniques
- Covers mortgages, bonds, and annuities
- Explains interest rate markets and bond modeling
- Discusses options pricing and value at risk
- Accessible to students with modest mathematical background
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