EventStudy (version 0.37)

AVCApplicationInput: Abnormal Volume Calculation Parameters

Description

This R6 class defines the parameters for the Abnormal Volume Event Study. We recommend to use the set functionality to setup your Event Study, as we check input parameters.

For more details see the help vignette: vignette("parameters_eventstudy", package = "EventStudy")

Value

a ESTParameters R6 object

Format

R6Class object.

Methods

$new()

Constructor for AVCApplicationInput

$setEMail(eMail)

Set the e-Mail address for reporting. This functionality is currently not working

$setBenchmarkModel(model = 'mm')

Setter for the benchmark models

$setReturnType(returnType)

Setter for the return type (log or simple)

$setTestStatistics(testStatistics)

Setter for the test statistics

Arguments

AVCApplicationInput

An AVCApplicationInput object

eMail

An E-Mail address in String format

model

A benchmark model in String format

returnType

A return type in String format

testStatistics

A String vector with test statistics

Super classes

EventStudy::ApplicationInputInterface -> EventStudy::EventStudyApplicationInput -> AVCApplicationInput

Methods

Public methods

• AVCApplicationInput$setEMail()

• AVCApplicationInput$setBenchmarkModel()

• AVCApplicationInput$setReturnType()

• AVCApplicationInput$setNonTradingDays()

• AVCApplicationInput$setTestStatistics()

• AVCApplicationInput$setDataFiles()

• AVCApplicationInput$clone()

Inherited methods

• EventStudy::ApplicationInputInterface$serialize()

• EventStudy::ApplicationInputInterface$serializeToJson()

• EventStudy::ApplicationInputInterface$setNamedList()

• EventStudy::ApplicationInputInterface$setResultFileType()

• EventStudy::EventStudyApplicationInput$setup()

---

Method setEMail()

Usage

AVCApplicationInput$setEMail(eMail)

---

Method setBenchmarkModel()

Usage

AVCApplicationInput$setBenchmarkModel(model)

---

Method setReturnType()

Usage

AVCApplicationInput$setReturnType(returnType)

---

Method setNonTradingDays()

Usage

AVCApplicationInput$setNonTradingDays(nonTradingDays = "later")

---

Method setTestStatistics()

Usage

AVCApplicationInput$setTestStatistics(testStatistics = NULL)

---

Method setDataFiles()

Usage

AVCApplicationInput$setDataFiles(
  dataFiles = c(request_file = "01_RequestFile.csv", firm_data = "02_firmData.csv",
    market_data = "03_MarketData.csv")
)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

AVCApplicationInput$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) {
# get files for our S&P500 example; 3 files are written in the current 
# working directory
getSP500ExampleFiles()

# Generate a new parameter object
avcParams <- AVCApplicationInput$new()

# set test statistics
arcParams$setBenchmarkModel("garch")

# Setup API object
apiKey <- "{Your API key}"
estSetup <- EventStudyAPI$new()
estSetup$authentication(apiKey)

# Perform Event Study
estSetup$performEventStudy(estParams = avcParams, 
                           dataFiles = c("request_file" = "01_RequestFile.csv",
                                         "firm_data"    = "02_firmData.csv",
                                         "market_data"  = "03_marketData.csv"))

# Download task results and save them in the actiual working directory
estSetup$getTaskResults()
}