Portfolio Management with R

About PMwR

Functions for the practical management of financial portfolios: backtesting investment and trading strategies, computing profit-and-loss and returns, analysing trades, reporting, and more. PMwR provides a small set of reliable, efficient and convenient tools that help in processing and analysing trade/portfolio data. The package does not provide a complete application that could be used ‘as is’, but building blocks for creating such an application.

What PMwR provides

The package provides functions that can serve as building blocks for many activities in portfolio management.

• Keeping track of transactions: The package provides functions for handling journals (sometimes called blotters). See ?journal and ?position.
• Testing strategies: See ?btest (and this tutorial on backtesting).
• Computing profit/loss and returns: See ?returns, ?rc, ?pl or ?unit_prices.

All details are in the manual. New features are often described in these notes.

I am grateful for comments, suggestions and corrections; bug reports, in particular, can be started directly from within R:

library("utils")
bug.report("[PMwR] Unexpected behaviour in function XXX",
           address = maintainer("PMwR"),
           package = "PMwR")

Applications, as long as they are finance-related, should be discussed on the R-SIG-Finance mailing list:

https://stat.ethz.ch/mailman/listinfo/r-sig-finance

Installation

The latest stable version of the package is available from CRAN. The latest development version is available from https://enricoschumann.net/R/packages/PMwR/. You can install either version directly from within R:

install.packages('PMwR') ## CRAN stable version

install.packages('PMwR', ## development version
                 repos = c('https://enricoschumann.net/R',
                           getOption('repos')))

The package depends on several other packages, which can be obtained from the same repository and from CRAN.

There are also publicly-available repositories at https://git.sr.ht/~enricoschumann/PMwR , https://gitlab.com/enricoschumann/PMwR and https://github.com/enricoschumann/PMwR.