Experimental and external contributions based on Tidy Finance with R. Contribute your ideas!
Code for preparing ISS Voting Analytics data for further analysis on shareholder proposals
tidyfinance 0.4.0 is now on CRAN. Discover the new data download options it includes.
A partial replication of the paper Empirical Asset Pricing via Machine Learning using R.
A benchmark of R approaches for efficient portfolio sorts
Routine to calibrate the Cox-Ingersoll-Ross model
The highlights of the recent switch to CRSP 2.0 data
tidyfinance 0.1.0 is now on CRAN. Discover what this release includes.
A beginner’s guide to market quality measurement in high-frequency data using R.
Demonstrate the power of DuckDB and dbplyr with WRDS data.
An explanation for the difference in the size factors of Fama and French 3 and 5 factor data
R code to generate dummy data that can be used to run the code chunks in Tidy Finance with R
An R code that converts TRACE files from FINRA into a SQLite for facilitated analysis and filtering
A simple implementation for prototyping multiple collaborative filtering algorithms
An all-in-one implementation of non-standard errors in portfolio sorts
An approximation of total returns using Robert Shiller’s stock market data
An op-ed about the motives behind Tidy Finance with R
You can learn Tidy Finance and support Ukraine at the same time
Tidy Finance presentation at the gathering supported by the R Foundation