qlcal-r: QuantLib Calendaring for R

CI License Last Commit CRAN r-universe Dependencies Downloads

qlcal brings the calendaring functionality from the QuantLib project to R.


qlcal lets us access various global (exchange or settlement) calendars. Here is a quick example for the NYSE in 2022 where Juneteenth is making a first appearance as the most recently added federal holiday:

> library(qlcal)
> setCalendar("UnitedStates/NYSE")
> getHolidays(as.Date("2022-01-01"), as.Date("2022-12-31"))
[1] "2022-01-17" "2022-02-21" "2022-04-15" "2022-05-30" "2022-06-20"
[6] "2022-07-04" "2022-09-05" "2022-11-24" "2022-12-26"

Brief History

This package started as an integration of the (somewhat experimental) Quantuccia package (see next section) to R by means of Rcpp in package RcppQuantuccia. But Quantuccia did not continue beyond its initial proof of concept. So as of RcppQuantuccia release 0.0.5, we have refocused it on an even smaller subset of QuantLib: just the calendaring. So code for pricers, math, models, schedules, … that was in Quantuccia has been removed. The calendaring, along with all its support code, is now current with the current QuantLib release which, as of this writing, is 1.24.

Going forward, the idea is to regroup the QuantLib calendaring functionality in a small and self-contained library qlcal, and provide frontends such as this R package.

Longer Example

Here we examine holiday lists for given calendars, specified by country and possibly exchange:

R> library(qlcal)
R> fromD <- as.Date("2017-01-01")
R> toD <- as.Date("2017-12-31")
R> getHolidays(fromD, toD)        # default calender ie TARGET
[1] "2017-04-14" "2017-04-17" "2017-05-01" "2017-12-25" "2017-12-26"
R> setCalendar("UnitedStates")
R> getHolidays(fromD, toD)        # US aka US::Settlement
[1] "2017-01-02" "2017-01-16" "2017-02-20" "2017-05-29" "2017-07-04" "2017-09-04"
[7] "2017-10-09" "2017-11-10" "2017-11-23" "2017-12-25"
R> setCalendar("UnitedStates::NYSE")
R> getHolidays(fromD, toD)        # US New York Stock Exchange
[1] "2017-01-02" "2017-01-16" "2017-02-20" "2017-04-14" "2017-05-29" "2017-07-04"
[7] "2017-09-04" "2017-11-23" "2017-12-25"

This shows the difference between the default US settlement calendar and the NYSE calendar which we selected explicitly.

As all calendars are now supported (and are listed in a convenience vector calendars):

> library(qlcal)
> calendars
 [1] "TARGET"                         "UnitedStates"
 [3] "UnitedStates/LiborImpact"       "UnitedStates/NYSE"
 [5] "UnitedStates/GovernmentBond"    "UnitedStates/NERC"
 [7] "UnitedStates/FederalReserve"    "Argentina"
 [9] "Australia"                      "Austria"
[11] "Austria/Exchange"               "Bespoke"
[13] "Botswana"                       "Brazil"
[15] "Brazil/Exchange"                "Canada"
[17] "Canada/TSX"                     "Chile"
[19] "China"                          "China/IB"
[21] "CzechRepublic"                  "Denmark"
[23] "Finland"                        "France"
[25] "France/Exchange"                "Germany"
[27] "Germany/FrankfurtStockExchange" "Germany/Xetra"
[29] "Germany/Eurex"                  "Germany/Euwax"
[31] "HongKong"                       "Hungary"
[33] "Iceland"                        "India"
[35] "Indonesia"                      "Israel"
[37] "Italy"                          "Italy/Exchange"
[39] "Japan"                          "Mexico"
[41] "NewZealand"                     "Norway"
[43] "Null"                           "Poland"
[45] "Romania"                        "Russia"
[47] "SaudiArabia"                    "Singapore"
[49] "Slovakia"                       "SouthAfrica"
[51] "SouthKorea"                     "SouthKorea/KRX"
[53] "Sweden"                         "Switzerland"
[55] "Taiwan"                         "Thailand"
[57] "Turkey"                         "Ukraine"
[59] "UnitedKingdom"                  "UnitedKingdom/Exchange"
[61] "UnitedKingdom/Metals"           "WeekendsOnly"

We can then for example quickly count number of holiday per calendar (by computing the length of the returned vector of holidays) and show a shortened print, all in a handful of lines continuing from above

> getHols <- function(cal) {    # simple helper function
+    setCalendar(cal)
+    getHolidays(as.Date("2022-01-01"), as.Date("2022-12-31"))
+ }
> D <- data.table(calendar=calendars)
> D[ , `:=`(n = length(getHols(calendar)),
+           holidays = paste(format(getHols(calendar),"%d %b"), collapse=",")),
+    by = calendar ]
> D
> D
                       calendar  n                                                                     holidays
 1:                      TARGET  3                                                         15 Apr,18 Apr,26 Dec
 2:                UnitedStates 10        17 Jan,21 Feb,30 May,20 Jun,04 Jul,05 Sep,10 Oct,11 Nov,24 Nov,26 Dec
 3:    UnitedStates/LiborImpact 10        17 Jan,21 Feb,30 May,20 Jun,04 Jul,05 Sep,10 Oct,11 Nov,24 Nov,26 Dec
 4:           UnitedStates/NYSE  9               17 Jan,21 Feb,15 Apr,30 May,20 Jun,04 Jul,05 Sep,24 Nov,26 Dec
 5: UnitedStates/GovernmentBond 11 17 Jan,21 Feb,15 Apr,30 May,20 Jun,04 Jul,05 Sep,10 Oct,11 Nov,24 Nov,26 Dec
58:                     Ukraine 10        03 Jan,07 Jan,08 Mar,25 Apr,02 May,09 May,13 Jun,28 Jun,24 Aug,14 Oct
59:               UnitedKingdom  9               03 Jan,15 Apr,18 Apr,02 May,02 Jun,03 Jun,29 Aug,26 Dec,27 Dec
60:      UnitedKingdom/Exchange  9               03 Jan,15 Apr,18 Apr,02 May,02 Jun,03 Jun,29 Aug,26 Dec,27 Dec
61:        UnitedKingdom/Metals  9               03 Jan,15 Apr,18 Apr,02 May,02 Jun,03 Jun,29 Aug,26 Dec,27 Dec
62:                WeekendsOnly  0

Here we set the year to 2022 as it includes the added US holiday of Juneteenth.

We can also access the calendar ‘name’ from the underlying (QuantLib Calendar) object:

> D[, name := { setCalendar(calendar); getName() }, by=calendar][, .(calendar,name)]
                       calendar                      name
 1:                      TARGET                    TARGET
 2:                UnitedStates             US settlement
 3:    UnitedStates/LiborImpact      US with Libor impact
 4:           UnitedStates/NYSE   New York stock exchange
 5: UnitedStates/GovernmentBond US government bond market
58:                     Ukraine  Ukrainian stock exchange
59:               UnitedKingdom             UK settlement
60:      UnitedKingdom/Exchange     London stock exchange
61:        UnitedKingdom/Metals    London metals exchange
62:                WeekendsOnly             weekends only


The package can be installed from CRAN via


or if you prefer non-release development version these can be installed from GitHub via e.g.


It only requires Rcpp and BH both of which are available whereever R itself runs.

Note that the package requires C++14 or newer due to the BH (i.e. Boost) use. As R nags when we set CXX_STD we switched to requested R (>= 4.2.0) where this requirement is implicitly satisfied. On an older R version, the configure scripts uncomments CXX_STD = CXX14 in src/Makevars (or src/Makevars.win).


Dirk Eddelbuettel for the package and integration.

The authors and contributors of QuantLib for the underlying calendaring code.


GPL (>= 2)