dispositionEffect: Analysis of Disposition Effect on Financial Portfolios (original) (raw)

Evaluate the presence of disposition effect and others irrational investor's behaviors based solely on investor's transactions and financial market data. Experimental data can also be used to perform the analysis. Four different methodologies are implemented to account for the different nature of human behaviors on financial markets. Novel analyses such as portfolio driven and time series disposition effect are also allowed.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: dplyr, purrr, lubridate, magrittr, progress
Suggests: devtools, knitr, rmarkdown, roxygen2, testthat, covr, tidyr, skimr, ggplot2, ggridges, furrr, future, foreach, doParallel, parallel, bench
Published: 2022-05-30
DOI: 10.32614/CRAN.package.dispositionEffect
Author: Lorenzo Mazzucchelli [aut], Marco Zanotti [aut, cre]
Maintainer: Marco Zanotti
BugReports: https://github.com/marcozanotti/dispositionEffect/issues
License: MIT + file
URL: https://marcozanotti.github.io/dispositionEffect/,https://github.com/marcozanotti/dispositionEffect
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: dispositionEffect results

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