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 <zanottimarco17 at gmail.com> |
BugReports: | https://github.com/marcozanotti/dispositionEffect/issues |
License: | MIT + file LICENSE |
URL: | https://marcozanotti.github.io/dispositionEffect/, https://github.com/marcozanotti/dispositionEffect |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | dispositionEffect results |
Reference manual: | dispositionEffect.pdf |
Vignettes: |
The Analysis of Disposition Effect Disposition Effect in Parallel Time Series Disposition Effect Getting Started |
Package source: | dispositionEffect_1.0.1.tar.gz |
Windows binaries: | r-devel: dispositionEffect_1.0.1.zip, r-release: dispositionEffect_1.0.1.zip, r-oldrel: dispositionEffect_1.0.1.zip |
macOS binaries: | r-release (arm64): dispositionEffect_1.0.1.tgz, r-oldrel (arm64): dispositionEffect_1.0.1.tgz, r-release (x86_64): dispositionEffect_1.0.1.tgz, r-oldrel (x86_64): dispositionEffect_1.0.1.tgz |
Old sources: | dispositionEffect archive |
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