R in Finance and Economics: A Beginner's Guide

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.

• Financial Analytics with R: Building a Laptop Laboratory for Data Science
• Using R for Introductory Econometrics
• Financial Decisions and Markets: A Course in Asset Pricing
• Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)
• Skin in the Game: Hidden Asymmetries in Daily Life
• Hands-On Intermediate Econometrics Using R: Templates for Extending Dozens of Practical Examples
• Agent-Based Modelling in Economics
• The Art of R Programming: A Tour of Statistical Software Design
• Mastering R for Quantitative Finance
• Empirical Asset Pricing: The Cross Section of Stock Returns (Wiley Series in Probability and Statistics)