Title
The Mathematics Of Financial Modeling And Investment Management,Used
Delivery time: 8-12 business days (International)
The Mathematics Of Financial Modeling & Investment Managementthe Mathematics Of Financial Modeling & Investment Management Covers A Wide Range Of Technical Topics In Mathematics And Financeenabling The Investment Management Practitioner, Researcher, Or Student To Fully Understand The Process Of Financial Decisionmaking And Its Economic Foundations.This Comprehensive Resource Will Introduce You To Key Mathematical Techniquesmatrix Algebra, Calculus, Ordinary Differential Equations, Probability Theory, Stochastic Calculus, Time Series Analysis, Optimizationas Well As Show You How These Techniques Are Successfully Implemented In The World Of Modern Finance. Special Emphasis Is Placed On The New Mathematical Tools That Allow A Deeper Understanding Of Financial Econometrics And Financial Economics. Recent Advances In Financial Econometrics, Such As Tools For Estimating And Representing The Tails Of The Distributions, The Analysis Of Correlation Phenomena, And Dimensionality Reduction Through Factor Analysis And Cointegration Are Discussed In Depth.Using A Wealth Of Realworld Examples, Focardi And Fabozzi Simultaneously Show Both The Mathematical Techniques And The Areas In Finance Where These Techniques Are Applied. They Also Cover A Variety Of Useful Financial Applications, Such As:* Arbitrage Pricing* Interest Rate Modeling* Derivative Pricing* Credit Risk Modeling* Equity And Bond Portfolio Management* Risk Management* And Much Morefilled With Indepth Insight And Expert Advice, The Mathematics Of Financial Modeling & Investment Management Clearly Ties Together Financial Theory And Mathematical Techniques.
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Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics are covered in 'The Mathematics of Financial Modeling and Investment Management'? A: The book covers a wide range of topics including matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, and optimization, all within the context of finance.
- Q: Who is the author of this book? A: The author of 'The Mathematics of Financial Modeling and Investment Management' is Sergio M. Focardi.
- Q: What is the publication date of this book? A: The book was published on March 29, 2004.
- Q: How many pages does this book have? A: The book contains 800 pages.
- Q: What is the binding type of this book? A: This book is available in hardcover binding.
- Q: Is this book suitable for beginners in finance? A: While the book covers advanced topics, it is designed for practitioners, researchers, and students, making it suitable for those with a foundational understanding of finance and mathematics.
- Q: What practical applications does this book discuss? A: The book discusses various financial applications such as arbitrage pricing, interest rate modeling, derivative pricing, credit risk modeling, and risk management.
- Q: Does this book include real-world examples? A: Yes, the authors use a wealth of real-world examples to illustrate the mathematical techniques and their applications in finance.
- Q: What edition of the book is available? A: This book is in its first edition.
- Q: Are there any discussions on recent advances in financial econometrics? A: Yes, the book discusses recent advances in financial econometrics, including tools for estimating distribution tails and dimensionality reduction techniques like factor analysis.