Financial data analytics with R: Monte-Carlo validation
Material type:
- 9781032741499
- 332.0151955 CHE
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
![]() |
Indian Institute of Management LRC General Stacks | Finance & Accounting | 332.0151955 CHE (Browse shelf(Opens below)) | 1 | Available | 007570 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Finance & Accounting Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
![]() |
No cover image available |
![]() |
||
332.015195 REI Foundations of quantitative finance book I: measure spaces and measurable functions | 332.015195 ROS Mathematical finance: theory review and exercises | 332.015195 SAD Mathematical techniques in finance: an introduction | 332.0151955 CHE Financial data analytics with R: Monte-Carlo validation | 332.0151955 TSA Analysis of financial time series | 332.024 AGA Household financial management | 332.024 BIL Personal financial planning: with MindTap |
inancial 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.
(https://www.routledge.com/Financial-Data-Analytics-with-R-Monte-Carlo-Validation/Chen/p/book/9781032741499)
There are no comments on this title.