crseEventStudy

R package: crseEventStudy

https://github.com/skoestlmeier/crseeventstudy

Science Score: 13.0%

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Keywords

empirical-research event-study finance financial-analysis r r-package
Last synced: 6 months ago · JSON representation

Repository

R package: crseEventStudy

Basic Info
  • Host: GitHub
  • Owner: skoestlmeier
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 450 KB
Statistics
  • Stars: 2
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
empirical-research event-study finance financial-analysis r r-package
Created over 7 years ago · Last pushed almost 4 years ago
Metadata Files
Readme Contributing License Code of conduct

README.md

crseEventStudy

Overview

CRAN_Status_Badge Project Status: Active – The project has reached a stable, usable state and is being actively developed. Travis-CI Build Status Build status codecov Total Downloads License

crseEventStudy is an R package providing a standardized test for abnormal returns in long-horizon event studies that takes into account the cross-sectional correlation, autocorrelation, and heteroskedasticity of stock returns. The test is proposed in the paper A robust and powerful test of abnormal stock returns in long-horizon event studies by Anupam Dutta, Johan Knif, James W. Kolari and Seppo Pynnonen (2018, JempFin).

Key Features

Functions of crseEventStudy for testing abnormal stock returns in long-horizon event studies:

  • asr (abnormal standardizes returns)
  • crseEvent (clustered robust standard errors in long-horizon event studies)
  • sar (standardized abnormal returns)

Installation

```r

The easiest way to install crseEventStudy is to download via CRAN

install.packages("crseEventStudy")

Alternatively, you can install the development version from GitHub

install.packages("devtools")

devtools::install_github("skoestlmeier/crseEventStudy") ```

Notes

Standardized returns are defined as the ratio of log-returns and their standard deviation estimator. The method crseEvent is based on abnormal standardized returns and offers three implementations:

  • Abnormal standardized returns (ASR)

Abnormal standardized returns are defined as the excess standardized returns relative to the standardized return of a matching control firm or relative to the average of standardized returns of a matching control portfolio.

  • Standardized abnormal returns (SAR)

Standardized abnormal returns are defined as the excess event-return relative to a specific return of a matching control firm, and the remaining result subsequently divided by the standard variation of this excess return series. As stated on p. 3f. in Dutta et al. (2018, JempFin), the matching control-return should be a single firm return-series and not be a portfolio-return.

  • Continuously compounded abnormal returns (CCAR)

Continuously compounded abnormal returns first consider their relative performance. First, the monthly continuously compounded return (i.e., log return) of the event stock is subtracted by the continuously compounded return of the control firm (or control portfolio). Second, this resulting excess return is divided by a robust standard deviation estimator for the excess return.

Contributing

Constributions in form of feedback, comments, code, bug reports or pull requests are most welcome. How to contribute:

  • Issues, bug reports, or desired expansions: File a GitHub issue.
  • Fork the source code, modify it, and issue a pull request through the project GitHub page.

Please read the contribution guidelines on how to contribute to this R-package.

Code of conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Owner

  • Name: Siegfried Köstlmeier
  • Login: skoestlmeier
  • Kind: user
  • Location: Regensburg, Germany

PhD student at the Chair of Business Administration, Financial Services, University of Regensburg. My research interest is empirical asset pricing/macro-finance

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Last synced: over 2 years ago

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  • Avg Commits per committer: 31.0
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Siegfried Köstlmeier s****r@g****m 31

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Packages

  • Total packages: 1
  • Total downloads:
    • cran 333 last-month
  • Total docker downloads: 42,767
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: crseEventStudy

A Robust and Powerful Test of Abnormal Stock Returns in Long-Horizon Event Studies

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 333 Last month
  • Docker Downloads: 42,767
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 31.7%
Average: 33.2%
Dependent repos count: 35.5%
Downloads: 40.2%
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5 depends
  • methods * imports
  • sandwich * imports
  • stats * imports
  • testthat * suggests