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eventstudies

An R package for conducting event studies and a platform for methodological research on event studies.

Installation

Stable version

Release notes: https://github.com/nipfpmf/eventstudies/releases/tag/v1.2

install.packages("eventstudies")
## OR
devtools::install_github("nipfpmf/eventstudies", ref="v1.2")

Latest version

devtools::install_github("nipfpmf/eventstudies", ref="master")

Usage

data("SplitDates", package = "eventstudies")
data("StockPriceReturns", package = "eventstudies")
data("OtherReturns", package = "eventstudies")

es <- eventstudies::eventstudy(firm.returns = StockPriceReturns,
         event.list = SplitDates,
         event.window = 7,
         type = "marketModel",
         to.remap = TRUE,
         remap = "cumsum",
         inference = TRUE,
         inference.strategy = "bootstrap",
         model.args = list(
             market.returns = OtherReturns[, "NiftyIndex"]
             )
         )
plot(es)

Help

?eventstudy
vignette("eventstudies", package = "eventstudies")
examples("eventstudy", package = "eventstudies")

Contributing

  1. Fork it!
  2. Create your feature branch: git checkout -b my-new-feature
  3. Commit your changes: git commit -am 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Submit a pull request

History

This repository was moved from R-forge before the release of v1.2:

https://r-forge.r-project.org/projects/eventstudies

License

GPL-2

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Version

Install

install.packages('eventstudies')

Monthly Downloads

21

Version

1.2.2

License

GPL-2

Issues

Pull Requests

Stars

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Maintainer

Chirag Anand

Last Published

June 2nd, 2020

Functions in eventstudies (1.2.2)

IndexReturns

Market indice returns data
eesSummary

Summary statistics of extreme events
eesInference

Extreme event study inference estimation
eventstudy

Perform event study analysis
eventstudies-package

eventstudies: R package for conducting event studies
inference.classic

Classic T-inference for event study estimator
inference.bootstrap

Bootstrap inference for event study estimator
marketModel

Extract residuals from a market model
phys2eventtime

Convert data from physical to event time
remap.event.reindex

Re-index value within event window
excessReturn

Estimate excess returns over the market
get.clusters.formatted

Get formatted clusters to perform extreme event study analysis (ees)
constantMeanReturn

Extract residuals over constant mean returns
inference.wilcox

Wilcox inference for event study estimator
eesDates

Get event list for extreme event study analysis
subperiod.lmAMM

Estimate exposure for a single regressor over multiple periods
makeX

Prepare regressors for computation of Augmented Market Models
TerrorAttack

Dates of terrorist attack
remap.cumprod

Cumulative geometric values
lmAMM

Augmented market model (AMM) estimation
manyfirmssubperiod.lmAMM

Estimate exposure for many regressands over multiple periods
remap.cumsum

Cumulative values
TerrorIndiceReturns

Stock indice returns data
KGMarketReturns

Market indice returns data
KGEarningsDates

Earnings announcement data for replication of a standard event study
KGStockReturns

Stock price returns data
AggregateReturns

Intra-day stock price returns data
KGSurpriseCategory

Classification of stocks
OtherReturns

Data set containing daily returns of Nifty index, USD INR, call momey rate, and S&P 500 index
StockPriceReturns

Stock price returns data
SplitDates

Data set of events used to perform event study analysis
RateCuts

Dates of RBI key interest rate cuts