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84472363
Statistical Methods for Financial Engineering, (Hardcover)
Item #:
84472363
RWF 371982
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Statistical Methods for Financial Engineering guides current and future practitioners on implementing the most useful stochastic models used in financial engineering.
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Product Details
- While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on implementing the most useful stochastic models used in financial engineering. After introducing properties of univariate and multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to verify some of its assumptions, and the challenges of dynamic hedging in discrete time. It then covers the estimation of risk and performance measures, the foundations of spot interest rate modeling, Lévy processes and their financial applications, the properties and parameter estimation of GARCH models, and the importance of dependence models in hedge fund replication and other applications. It concludes with the topic of filtering and its financial applications. This self-contained book offers a basic presentation of stochastic models and addresses issues related to their implementation in the financial industry. Each chapter introduces powerful and practical statistical tools necessary to implement the models. The author not only shows how to estimate parameters efficiently, but he also demonstrates, whenever possible, how to test the validity of the proposed models. Throughout the text, examples using MATLAB(R) illustrate the application of the techniques to solve real-world financial problems. MATLAB and R programs are available on the author's website.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Business & Investing |
| Publication date | April, 2013 |
| Pages | 496 |
| Subgenre | Finance |
| Series title | No Series |
| Edition | 1 |
| Publisher | Taylor & Francis Ltd (Sales) |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.10 x 1.10 x 9.20 in (15.5 x 2.8 x 23.4 cm) |
| Assembled product weight | 1.8 lb (820 grams) |
| Bisac subject heading | Business & Economics |
Product Description
Statistical Methods for Financial Engineering, (Hardcover)
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RWF 371982
Order now and get it around Sunday, October 25
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Features & Benefits
- Guides practitioners in implementing useful stochastic models
- Covers estimation techniques, risk and performance measures, interest rate modeling, and more
- Provides practical statistical tools and examples using MATLAB
- Self-contained book with real-world financial problem solutions
- Author demonstrates parameter estimation and model validity testing
- MATLAB and R programs available on author's website
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