library(PortfolioMoments)
context("testing mu_ewma()")
stocks <- xts::xts(
cbind(
X = rnorm(10, 0, 1),
Y = rnorm(10, 0, 2),
Z = rnorm(10, 0, 4)
),
order.by = as.Date('2019-01-01') + 0:9
)
mu <- mu_ewma(stocks)
test_that("Returns a 3 x 3 covariance matrix with the correct class, names and size", {
# class
expect_is(mu, "numeric")
expect_match(purrr::map_chr(mu, class), "numeric")
# names are keeped
expect_equal(names(mu), colnames(stocks))
# size
expect_equal(length(mu), 3)
})
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