The goal of AMIM is to provide an easy function to compute the rolling window AMIM following the paper of Tran & Leirvik (2019), “A simple but powerful measure of market efficiency”. Finance Research Letters, 29, pp.141-151.
You can install the released version of AMIM from CRAN with:
install.packages("AMIM")This is a basic example which shows you how to solve a common problem:
library(AMIM)
library(data.table)
data <- AMIM::exampledata # load the example data
AMIM <- AMIM.roll(data.table = data, identity.col = "ticker", rollWindow = 60, Date.col = "Date", return.col = "RET", min.obs = 30, max.lag = 10)
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AMIM[, .SD[(.N - 5):(.N), ], by = ticker] # show the last 5 observations for each ticker
#> ticker N Date MIM CI AMIM
#> 1: A 2 2021-07-06 0.7044131 0.7604725 -0.23404162
#> 2: A 2 2021-07-07 0.7044131 0.7604725 -0.23404162
#> 3: A 3 2021-07-08 0.8058670 0.8110500 -0.02743054
#> 4: A 3 2021-07-09 0.8017444 0.8110500 -0.04924920
#> 5: A 3 2021-07-10 0.8017444 0.8110500 -0.04924920
#> 6: A 3 2021-07-11 0.8017444 0.8110500 -0.04924920
#> 7: B NA 2021-07-06 NA NA NA
#> 8: B NA 2021-07-07 NA NA NA
#> 9: B NA 2021-07-08 NA NA NA
#> 10: B NA 2021-07-09 NA NA NA
#> 11: B NA 2021-07-10 NA NA NA
#> 12: B NA 2021-07-11 NA NA NA