| BMPTest | R Documentation |
Standardized cross-sectional test that is robust to event-induced variance
increases. The BMP test standardizes abnormal returns by each event's
MODEL sigma (the estimation-window residual standard deviation, i.e.
model$statistics$sigma) – NOT by the forecast-error-corrected
sigma – then applies a cross-sectional t-test to these standardized
residuals.
TestStatisticBase -> BMPTest
nameShort code of the test statistic.
BMPTest$compute()Computes the BMP standardized cross-sectional test.
BMPTest$compute(data_tbl, model)
data_tblThe data for a multiple event with calculated abnormal returns.
modelThe fitted model containing sigma estimates.
BMPTest$clone()The objects of this class are cloneable with this method.
BMPTest$clone(deep = FALSE)
deepWhether to make a deep clone.
Other eventstudy-statistics:
ARTTest,
BHARTTest,
CARTTest,
CSectTTest,
CalendarTimePortfolioTest,
GeneralizedSignTest,
KolariPynnonenTest,
MultiEventStatisticsSet,
PatellZTest,
RankTest,
SignTest,
SingleEventStatisticsSet,
StatisticsSetBase,
TestStatisticBase,
adjust_p_values(),
bootstrap_test(),
car_by_group(),
car_quantiles(),
cross_sectional_regression(),
model_diagnostics(),
pretrend_test(),
simulate_event_study(),
validate_task()
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