This function provides the extraction of data and statistics related to expectations of economic indicators, specifically Selic market expectations, made available by the Central Bank of Brazil's Expectations System through the Olinda API. The data comes from several financial institutions: banks, funds, research houses, etc. Important: arguments are case sensitive.
A character vector with economic indicators names, see details for possible value. Defaults to "Selic".
A single string or Date in "YYYY-mm-dd" format. Default for 2 years prior to the current date.
A single string or Date in "YYYY-mm-dd" format. Default is the current date.
A single string in "RX/YYYY" format, where X is a positive integer, indicating the meeting for which the statistic is expected. Defaults to NULL.
Logical. Should messages or warnings not be displayed? Defaults to FALSE.
Logical. Sets the use of caching system, creating a folder named "cache_bcb" by default. Defaults to FALSE.
Logical. For using parallel data importation. Defaults to FALSE.
A tibble with data from BCB-Olinda Data Services.
For periods for which there are no statistics, they will be omitted from the query.
Possible values for indicator argument: 'Selic'.
df1 <- get_selic(indicator = "Selic", first_date = Sys.Date() - 30)
#>
#> Fetching [Selic] data from BCB-Olinda...
#>
#> Found 576 observations!
df1
#> # A tibble: 576 × 10
#> indicator date meeting mean median sd min max n_respond…¹ basis
#> <chr> <date> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <int>
#> 1 Selic 2022-08-05 R5/2024 8.91 9 0.854 7 10 14 1
#> 2 Selic 2022-08-05 R5/2024 8.91 9 0.854 7 10 14 0
#> 3 Selic 2022-08-05 R4/2024 8.87 9 0.894 7 10.5 30 1
#> 4 Selic 2022-08-05 R4/2024 9.12 9 0.987 7 12.2 107 0
#> 5 Selic 2022-08-05 R3/2024 9.34 9.5 0.949 7.5 11 33 1
#> 6 Selic 2022-08-05 R3/2024 9.52 9.5 0.991 7.5 12.5 112 0
#> 7 Selic 2022-08-05 R2/2024 9.81 10 0.894 8 11.5 33 1
#> 8 Selic 2022-08-05 R2/2024 9.97 10 0.980 7.5 12.8 112 0
#> 9 Selic 2022-08-05 R1/2024 10.4 10.4 0.934 8.5 13 34 1
#> 10 Selic 2022-08-05 R1/2024 10.4 10.5 0.968 8.5 13 113 0
#> # … with 566 more rows, and abbreviated variable name ¹n_respondents
#> # ℹ Use `print(n = ...)` to see more rows
df2 <- get_selic(indicator = "Selic", first_date = NULL, meeting = "R1/2024")
#>
#> Fetching [Selic] data from BCB-Olinda...
#>
#> Found 254 observations!
df2
#> # A tibble: 254 × 10
#> indicator date meeting mean median sd min max n_respond…¹ basis
#> <chr> <date> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <int>
#> 1 Selic 2022-08-05 R1/2024 10.4 10.4 0.934 8.5 13 34 1
#> 2 Selic 2022-08-05 R1/2024 10.4 10.5 0.968 8.5 13 113 0
#> 3 Selic 2022-08-04 R1/2024 10.5 10.5 0.933 8.5 12.5 63 1
#> 4 Selic 2022-08-04 R1/2024 10.4 10.5 0.954 8.5 13 113 0
#> 5 Selic 2022-08-03 R1/2024 10.5 10.5 1.04 7.25 13 64 1
#> 6 Selic 2022-08-03 R1/2024 10.4 10.5 0.990 7.25 13 113 0
#> 7 Selic 2022-08-02 R1/2024 10.5 10.5 1.06 7.25 13 67 1
#> 8 Selic 2022-08-02 R1/2024 10.4 10.5 0.990 7.25 13 113 0
#> 9 Selic 2022-08-01 R1/2024 10.5 10.5 1.07 7.25 13 70 1
#> 10 Selic 2022-08-01 R1/2024 10.4 10.5 0.989 7.25 13 113 0
#> # … with 244 more rows, and abbreviated variable name ¹n_respondents
#> # ℹ Use `print(n = ...)` to see more rows