API for eventstudies
Event Study Analysis

Global functions
ARinnovations Source code
AggregateReturns Man page
IndexReturns Man page
KGEarningsDates Man page
KGMarketReturns Man page
KGStockReturns Man page
KGSurpriseCategory Man page
OtherReturns Man page
RateCuts Man page
SplitDates Man page
StockPriceReturns Man page
TerrorAttack Man page
TerrorIndiceReturns Man page
constantMeanReturn Man page Source code
deprintize Source code
do.one.piece Source code
eesDates Man page Source code
eesInference Man page Source code
eesSummary Man page Source code
eventstudies-package Man page
eventstudy Man page Source code
exact.pattern.location Source code
excessReturn Man page Source code
extreme.events.distribution Source code
firstValueBase Source code
firstValueZero Source code
gen.data Source code
get.cluster.distribution Source code
get.clusters.formatted Man page Source code
get.event.count Source code
identify.mixedclusters Source code
inference.bootstrap Man page Source code
inference.change.boot Source code
inference.classic Man page Source code
inference.wilcox Man page Source code
lmAMM Man page Source code
makeX Man page Source code
manyfirmssubperiod.lmAMM Man page Source code
marketModel Man page Source code
numbers2words Source code
phys2eventtime Man page Source code
plot.amm Source code
plot.ees Source code
plot.es Source code
plot.inference Source code
plot.simple Source code
prepare.returns Source code
print.amm Source code
print.es Source code
quantile.extreme.values Source code
remap.cumprod Man page Source code
remap.cumsum Man page Source code
remap.event.reindex Man page Source code
runlength.dist Source code
subperiod.lmAMM Man page Source code
summarise.cluster Source code
summarise.rle Source code
summary.amm Source code
summary.es Source code
sumstat Source code
timeshift Source code
yearly.exevent.dist Source code
yearly.exevent.summary Source code
eventstudies documentation built on July 4, 2017, 9:46 a.m.