R-Finance has 21 repositories available. Follow their code on GitHub.

March 28, 2026 - The Rmetrics suite of packages comprises fAssets, fBasics, fBonds, timeDate (formerly: fCalendar), fCopulae, fExtremes, fGarch, fImport, fNonlinear, fPortfolio, fRegression, timeSeries (formerly: fSeries), fTrading, and contains a very large number of relevant functions for different aspect of empirical and computational finance. The RQuantLib package provides several option-pricing functions as well as some fixed-income functionality from the QuantLib project to R.

This project will allow us to practice various R features using live data to support a decision regarding the provision of captive financing to customers at the beginning of this chapter.

Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility. ... By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

I explore to add and develop some financial projects using R.

May 13, 2016 - Ryan, J. A., Ulrich, J. M., & Thielen, W. (2015). quantmod: Quantitative financial modelling framework. R package version 0.3-5. URL http://www. quantmod. com URL http://r-forge. r-project. org/projects/quantmod.

3d Plots A/B Testing Accounting ... Principal Component Analysis Probability Distributions Production Programming Project Workflow Psi Vis Sig Public Health Python Quandl Quarto R R / Finance 2017 R / Medicine 2019 R / Medicine Conference R Administrator R Community R Conferences ...

R for finance Project 02 · by Zarif · Last updated almost 2 years ago · Hide Comments (–) Share Hide Toolbars ·

The topics in the book employ a wide range of techniques including non-linear estimation, portfolio analytics, risk measurement, extreme value analysis, forecasting and predictive techniques, and financial modeling.

Abstract We show how to analyze financial data and extract basic insights from basic financial models using R programming language (R Core Team 2024). We extend examples and codes freely available in Internet including some Matt Dancho’s Business Science IO, and some of my own.

Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset. ... Machine Learning Project for Financial Risk Modelling and Portfolio Optimization with R- Build a machine learning model in R to develop a strategy for building a portfolio for ...

This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. It also covers some innovative use cases to highlight the significance of machine learning in finance. Build a Credit Default Risk Prediction Model with LightGBM · Downloadable solution code | Explanatory videos | Tech Support Start Project

November 27, 2020 - ... This course teaches you how to calculate the return of a portfolio of securities as well as quantify the market risk of that portfolio, an important skill for financial market analysts in banks, hedge funds, insurance companies, and other ...

July 17, 2025 - Most finance pros don’t come from coding backgrounds. But R doesn’t require a computer science degree. You just need a solid setup, a few key packages, and a working internet connection. Here’s how to go from zero to “I’m running quant models” in under 20 minutes. ... R is the language itself. Think of it like Excel’s brain. Download the latest version here: 👉 https://cran.r-project.org/

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains ...

September 15, 2024 - In this blog, I’ll walk you through my journey of learning R as a finance professional, highlight my first project (a simple linear regression analysis using the Auto dataset), and share insights on how R has transformed the way I approach financial data.

This is an introductory book about the rapid model prototyping language R. It is especially suited to programmers and researcher in finance and insurance. What sets this book apart from all the other introductory R books is the number of examples from computational finance and financial engineering.