Using R for Predictive Modeling in Finance
Predictive modeling in finance uses historical data to forecast future trends and outcomes. R, a powerful statistical programming language, provides a robust set of tools and libraries for financial analysis and modeling. This article explores the key techniques and packages in R that are commonly used for predictive modeling in finance. We’ll cover time series analysis, regression, machine learning, and portfolio optimization, along with a step-by-step guide to building a basic predictive model using R.
Why use R in Finance?
R is popular in finance for many reasons:
- Powerful Libraries: R