Experimental and external contributions based on Tidy Finance with R. Contribute your ideas!
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