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Financial Data Analytics with R : Monte Carlo Validation.
・ISBN 978-1-032-74511-4 hard GB£ 187.99
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・ISBN 978-1-032-74149-9 paper GB£ 70.99
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-003-46970-4
| 著者・編者 | Chen, Jenny K., |
|---|---|
| 出版社 | (Chapman & Hall / CRC, US) |
| 出版年月 | 2024.07 |
| ページ数 | 276 pp. |
| 言語 | ENG |
| ニュース番号 | ＜719-207 719-242＞ |
解説
Financial Data Analysis with R: Monte-Carlo Validation is a comprehensive exploration of statistical methodologies and their applications in finance. Readers are taken on a journey in each chapter through practical explanations and examples, enabling them to develop a solid foundation of these methods in R and their applications in finance.
This book serves as an indispensable resource for finance professionals, analysts, and enthusiasts seeking to harness the power of data-driven decision-making.
The book goes beyond just teaching statistical methods in R and incorporates a unique section of informative Monte-Carlo simulations. These Monte-Carlo simulations are uniquely designed to showcase the reader the potential consequences and misleading conclusions that can arise when fundamental model assumptions are violated. Through step-by-step tutorials and realworld cases, readers will learn how and why model assumptions are important to follow.
With a focus on practicality, Financial Data Analysis with R: Monte-Carlo Validation equips readers with the skills to construct and validate financial models using R. The Monte-Carlo simulation exercises provide a unique opportunity to understand the methods further, making this book an essential tool for anyone involved in financial analysis, investment strategy, or risk management. Whether you are a seasoned professional or a newcomer to the world of financial analytics, this book serves as a guiding light, empowering you to navigate the landscape of finance with precision and confidence.
Key Features:
- An extensive compilation of commonly used financial data analytics methods from fundamental to advanced levels
- Learn how to model and analyze financial data with step-by-step illustrations in R and ready-to-use publicly available data
- Includes Monte-Carlo simulations uniquely designed to showcase the reader the potential consequences and misleading conclusions that arise when fundamental model assumptions are violated
- Data and computer programs are available for readers to replicate and implement the models and methods themselves