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- 416 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Hands-On Data Analysis in R for Finance
Book details
Table of contents
Citations
About This Book
The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners or professionals who need a desk reference.
- Assumes no prior knowledge of R
- The content has been tested in actual university classes
- Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more
- Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet
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Yes, you can access Hands-On Data Analysis in R for Finance by Jean-Francois Collard in PDF and/or ePUB format, as well as other popular books in Business & Finance. We have over one million books available in our catalogue for you to explore.
Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- List of Figures
- Preface
- 1 Your Working Environment
- 2 Reading Data in R
- 3 Financial Data
- 4 Introduction to R
- 5 Functions
- 6 Data Transformation
- 7 Merging Data Sets
- 8 Graphing Using Ggplot
- 9 Returns and Returns-based Statistics
- 10 Portfolios
- 11 Modeling Returns & Simulations
- 12 Linear and Polynomial Regression
- 13 Fixed Income
- 14 Principal Component Analysis
- 15 Options
- 16 Value at Risk
- 17 Time Series Analysis
- 18 Machine Learning
- 19 Presenting the Results of Your Analyses
- 20 Appendix: Main Packages Seen in this Book
- Index