Obtain daily interbank money market rates and volumes of transactions according to tenure (2015 - present) from the BNM API.
Usage
get_islamic_interbank_rate(date = NULL, year = NULL, month = NULL)
get_interest_volume(
product = "money_market_operations",
date = NULL,
year = NULL,
month = NULL
)
get_interest_rate(
product = "money_market_operations",
date = NULL,
year = NULL,
month = NULL
)Arguments
- date
Character string of date with format as defined by RFC 3339, section 5.6 (YYYY-MM-DD). If specified, return values for the specified date.
- year, month
Year and month as integers. If date, year and month left blank, return today's values.
- product
One of "money_market_operations", "interbank" or "overall"
Details
Interbank money market rate: Daily interbank money market rates and volumes of transactions according to tenure. (2015 - present) Interbank money market volume: Daily interbank money market rates and volumes of transactions according to tenure. (2015 - present) Islamic interbank deposit rate: Daily weighted average of Islamic interbank deposit rates for various tenures. (Jan 2015-present)
Functions
get_islamic_interbank_rate(): Islamic interbank deposit rateget_interest_volume(): Interbank money market volumeget_interest_rate(): Interbank money market rate
Examples
if (FALSE) get_interest_rate()
get_interest_rate(date = "2018-01-01")
#> # A tibble: 1 × 4
#> date overnight `1_week` `1_month`
#> <chr> <dbl> <dbl> <dbl>
#> 1 2018-01-01 2.91 3.02 3.08
get_interest_rate(year = 2016, month = 2)
#> # A tibble: 29 × 7
#> date overnight `1_week` `1_month` `3_month` `6_month` `1_year`
#> <chr> <dbl> <dbl> <dbl> <lgl> <lgl> <lgl>
#> 1 2016-02-01 3.07 3.14 NA NA NA NA
#> 2 2016-02-02 3.1 3.15 3.2 NA NA NA
#> 3 2016-02-03 3.23 NA NA NA NA NA
#> 4 2016-02-04 3.13 3.14 NA NA NA NA
#> 5 2016-02-05 3.06 NA NA NA NA NA
#> 6 2016-02-06 3.06 NA NA NA NA NA
#> 7 2016-02-07 3.06 NA NA NA NA NA
#> 8 2016-02-08 3.06 NA NA NA NA NA
#> 9 2016-02-09 3.06 NA NA NA NA NA
#> 10 2016-02-10 3.09 3.14 NA NA NA NA
#> # … with 19 more rows
get_interest_rate(product = "overall", year = 2016, month = 2)
#> # A tibble: 28 × 7
#> date overnight `1_week` `1_month` `3_month` `6_month` `1_year`
#> <chr> <dbl> <dbl> <dbl> <lgl> <lgl> <lgl>
#> 1 2016-02-01 3.07 3.14 3.5 NA NA NA
#> 2 2016-02-02 3.1 3.16 3.2 NA NA NA
#> 3 2016-02-03 3.22 3.24 3.36 NA NA NA
#> 4 2016-02-04 3.13 3.14 NA NA NA NA
#> 5 2016-02-05 3.06 3.22 NA NA NA NA
#> 6 2016-02-06 3.06 3.22 NA NA NA NA
#> 7 2016-02-07 3.06 3.22 NA NA NA NA
#> 8 2016-02-08 3.06 3.22 NA NA NA NA
#> 9 2016-02-10 3.09 3.14 NA NA NA NA
#> 10 2016-02-11 3.05 3.16 NA NA NA NA
#> # … with 18 more rows
if (FALSE) get_interest_volume()
get_interest_volume(date = "2018-01-01")
#> # A tibble: 1 × 5
#> date overnight `1_week` `1_month` other
#> <chr> <int> <int> <int> <int>
#> 1 2018-01-01 33100 1430 200 5030
get_interest_volume(year = 2016, month = 2)
#> # A tibble: 29 × 8
#> date overnight `1_week` `1_month` `3_month` `6_month` `1_year` other
#> <chr> <int> <int> <int> <lgl> <lgl> <lgl> <int>
#> 1 2016-02-01 32000 3860 NA NA NA NA 3140
#> 2 2016-02-02 32000 1860 7030 NA NA NA 4355
#> 3 2016-02-03 32000 NA NA NA NA NA 4180
#> 4 2016-02-04 32000 3000 NA NA NA NA NA
#> 5 2016-02-05 30000 NA NA NA NA NA 3050
#> 6 2016-02-06 30000 NA NA NA NA NA 3050
#> 7 2016-02-07 30000 NA NA NA NA NA 3050
#> 8 2016-02-08 30000 NA NA NA NA NA 3050
#> 9 2016-02-09 30000 NA NA NA NA NA 3050
#> 10 2016-02-10 30000 3800 NA NA NA NA 3280
#> # … with 19 more rows
get_interest_volume(product = "overall", year = 2016, month = 2)
#> # A tibble: 28 × 8
#> date overnight `1_week` `1_month` `3_month` `6_month` `1_year` other
#> <chr> <dbl> <int> <dbl> <lgl> <lgl> <lgl> <int>
#> 1 2016-02-01 34068. 3860 150 NA NA NA 3362
#> 2 2016-02-02 33709. 2160 7110 NA NA NA 4355
#> 3 2016-02-03 34533. 155 50 NA NA NA 4180
#> 4 2016-02-04 34696. 3290 NA NA NA NA 150
#> 5 2016-02-05 32216. 200 NA NA NA NA 3750
#> 6 2016-02-06 32216. 200 NA NA NA NA 3750
#> 7 2016-02-07 32216. 200 NA NA NA NA 3750
#> 8 2016-02-08 32216. 200 NA NA NA NA 3750
#> 9 2016-02-10 32486. 3900 NA NA NA NA 3530
#> 10 2016-02-11 34464. 2500 NA NA NA NA 1250
#> # … with 18 more rows
if (FALSE) get_islamic_interbank_rate()
get_islamic_interbank_rate(date = "2018-01-01")
#> # A tibble: 1 × 2
#> date overnight
#> <chr> <dbl>
#> 1 2018-01-01 2.99
get_islamic_interbank_rate(year = 2016, month = 2)
#> # A tibble: 26 × 7
#> date overnight `1_week` `1_month` `3_month` `6_month` `1_year`
#> <chr> <dbl> <lgl> <lgl> <dbl> <lgl> <lgl>
#> 1 2016-02-01 3.2 NA NA 3.88 NA NA
#> 2 2016-02-03 3.19 NA NA 3.87 NA NA
#> 3 2016-02-04 3.19 NA NA NA NA NA
#> 4 2016-02-05 3.19 NA NA NA NA NA
#> 5 2016-02-06 3.19 NA NA NA NA NA
#> 6 2016-02-07 3.19 NA NA NA NA NA
#> 7 2016-02-08 3.19 NA NA NA NA NA
#> 8 2016-02-10 3.2 NA NA NA NA NA
#> 9 2016-02-11 3.19 NA NA NA NA NA
#> 10 2016-02-12 3.19 NA NA 3.76 NA NA
#> # … with 16 more rows