Item #:
44971855
Quantitative Finance
89% of respondents would recommend this to a friend
Item #:
44971855
SLE 3980
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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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Customer Questions & Answers
-
Question:
What topics are covered in 'Quantitative Finance: A Simulation-Based Introduction Using Excel'?
Answer: The book covers a wide range of topics in quantitative finance, including stochastic processes, financial derivatives, risk management, and portfolio optimization. Each chapter includes practical Excel simulations to demonstrate theoretical concepts. This hands-on approach allows readers to grasp complex financial instruments and techniques, making it suitable for both students and practitioners looking to apply quantitative finance in real-world scenarios. -
Question:
Who is the target audience for this book?
Answer: The target audience for this book includes graduate students, finance professionals, and researchers interested in quantitative finance. It appeals to those with a basic understanding of finance and mathematics who wish to deepen their knowledge through simulations and practical applications. This book serves as an ideal resource for anyone looking to integrate Excel into finance-related projects or academic studies. -
Question:
How does the book utilize Excel for simulations?
Answer: The book incorporates step-by-step guides to help readers build simulations in Excel. It provides relevant formulas, functions, and data sets, empowering users to replicate and modify simulations on their own. This practical training aids in visualizing financial models and understanding the dynamics of various financial instruments, making the learning process engaging and interactive. -
Question:
Is prior knowledge of financial concepts required to use this book?
Answer: While some familiarity with financial concepts is beneficial, the book is structured to be accessible for those with minimal background. The author explains essential theories and terms before diving into simulations. This makes the book suitable for beginners as well as those looking to reinforce their existing knowledge of quantitative finance. -
Question:
What are some practical applications of the techniques learned in this book?
Answer: The techniques and simulations presented in the book can be applied to various areas such as risk assessment, pricing options and derivatives, and constructing investment portfolios. Finance professionals can utilize these methods to analyze market trends, optimize assets, and develop strategies based on quantitative models, enhancing decision-making processes in their respective fields. -
Question:
Does this book include real-world examples?
Answer: Yes, 'Quantitative Finance: A Simulation-Based Introduction Using Excel' includes real-world examples and case studies to illustrate key concepts. These examples guide readers in applying theoretical frameworks to practical scenarios, demonstrating how quantitative methods are employed by finance professionals in actual market conditions. This connection to real-life applications enhances the relevance and impact of the learning experience. -
Question:
Can the simulations from the book be modified for personal use?
Answer: Absolutely! The Excel simulations presented in the book can be customized and modified according to individual needs. Readers are encouraged to experiment with different parameters and inputs, which facilitates a deeper understanding of financial mechanics and the sensitivity of models to various factors. This adaptability supports personal projects or learning objectives, allowing users to tailor their experience. -
Question:
Are there any companion resources available for this book?
Answer: The author may provide additional resources, such as data sets or Excel templates, through supplementary websites or platforms. These companion materials enhance the learning experience by offering direct access to tools needed for performing simulations, enriching the reader's ability to practice and apply techniques presented in the book effectively. -
Question:
Is this book suitable for self-study?
Answer: Yes, 'Quantitative Finance: A Simulation-Based Introduction Using Excel' is well-suited for self-study. Its clear structure, abundant examples, and practical exercises allow learners to progress at their own pace, making it a valuable resource for independent readers seeking to develop their quantitative finance skills. The ease of integrating Excel further supports a self-directed learning approach. -
Question:
Where can I buy 'Quantitative Finance: A Simulation-Based Introduction Using Excel 1st Edition' in Sierra Leone?
Answer: You can buy 'Quantitative Finance: A Simulation-Based Introduction Using Excel 1st Edition' from Ubuy, an online platform that offers a wide selection of books. Ubuy provides convenient access for readers in Sierra Leone, allowing you to explore various options and potentially find additional educational resources related to finance.
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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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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